Help for Uvmat

1 Generalities

1.1 Aim

The package uvmat can be used to visualise, scan and analyse a wide variety of input data: all image and movie formats recognised by Matlab (see section 3.1), NetCDF binary files(see section 7). It is however particularly designed for laboratory data obtained from imaging systems: it includes a Particle Image Velocimetry software, as well as tools for geometric calibration, masks, grid generation and image pre-processing (e.g. background removal), and editing documentation files in the format xml. Stereoscopic PIV, PIV-LIF and 3D PIV in a volume (still under development) are handled.

This package can be used without knowledge of the Matlab language, but it is designed to be complemented by user defined Matlab functions, providing flexibility for further data analysis. It provides convenient tools to develop a set of processing functions with a standardised system for input-output.

Installation is described in ​http://servforge.legi.grenoble-inp.fr/projects/soft-uvmat/wiki#UVMAT.

1.2 The package

The master piece is a Matlab GUI, made of a Matlab figure uvmat.fig and an associated set of sub-functions in the file uvmat.m. The menu bar at the top of the GUI, push buttons and editing box in uvmat.fig activate the Matlab sub-functions (callback functions) in uvmat.m. The package also contains the following set of GUI.

• browse_data.fig: scans the data directory of a project
• civ.fig: runs the software for Particle Imaging Velocimetry
• editxml.fig: displays and edits xml files according to an xml schema. xml reading and editing is performed by the toolbox ​xmltree, integrated in the package uvmat as a subdirectory /@xmltree.
• geometry_calib.fig: determines geometric calibration parameters for relating image to physical coordinates. The toolbox ​http://www.vision.caltech.edu/bouguetj/calib_doc/ is used, integrated in the package uvmat as a subdirectory /toolbox_calib.
• get_field.fig: selects coordinates and field in a general NetCDF file.
• series.fig: applies various processing functions to series of fields. A set of functions is integrated in the package as a subdirectory /series, but new functions can be introduced by the user.
• set_object.fig: creates and edits geometric objects used to project data: points, lines, planes...
• view_field.fig: is a GUI complementing uvmat for plotting projected data.

Functions in the package are used to generate file names, to read files and plot data, and to perform various ancillary tasks. The full set of functions is listed in overview of the package.

1.3 Documentation and help

The present on-line document is the reference document for the version currently available on the svn server. Features not yet implemented or tested (in particular 3D features) are marked by . The document is accessible within Matlab by help buttons in the GUIs.

A short comment about each GUI uicontrol (push buttons, edit boxes, menus..), as well as the tag name of this uicontrol, is provided as a tool tip window by moving the mouse over it. In the present help document, the tag of a GUI uicontrol is quoted as [uicontrol tag], a file name in the package is quoted as fct name.m, and commands on the Matlab workspace as '>> command’.

Information is also provided as comments in each function. Type '>>help fct_name' to get it, or open it with an editor.

Finally a on-line ​tutorial is provided with test images and data files.

1.4 Copyright and licence

Copyright Joel Sommeria, 2008, LEGI / CNRS-UJF-INPG, joel.sommeria(at)legi.grenoble-inp.fr.

The package UVMAT is free software; it can be redistributed and/or modified it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 2 of the License, or (at your option) any later version.

UVMAT is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See theGNU General Public License (file {COPYING.txt}) for more details.

2 Overview of the GUI uvmat.fig

2.1 Opening the GUI

Type '>>uvmat' in the Matlab prompt to display the GUI. If the function is unknown by Matlab, add the appropriate path (see the Matlab command '>>help path'). When the GUI is opening, the date of last modfication is displayed in the central window. During opening, the program checks the Matlab path to all the functions of the package (using the function check_functions.m). If a function is missing, or if it is overridden by a function with the same name at another path location, a message is displayed in the central window at the opening of the GUI uvmat.fig. Finally, if the svn server is accessible by line-command, the latest version number of the uvmat package is indicated.

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The GUI contains an upper menu bar, a central graphic display window, a lower left window for histogram, a top right text display window, columns of edit boxes and command buttons on both side.

Each of the graphic elements (uicontrols) is described by a tag name, which can be displayed by moving the mouse over it: a tool tip window appears with the tag name followed by a short help description. The element tag and content can be also displayed in a zoom window, and possibly edited there, by a right hand mouse selection on the element. As a rule, tag names for checkboxes begins by 'Check', while tags of elements with numerical content begins by num_.

The red pushbuttons command the main actions. The color of pushbuttons or other elements turns to yellow while their callback function is active.

2.2 The upper menu bar

The menu bar at the top of the GUI contains the following buttons:

• [Open]: gives access to the browser for the main input field.
  • [browse...]: open a general file browser browser_uvmat. In the displayed list, a file can be selected for opening (by a single mouse click),or directories are marqued by '+/'. Select the first line '+/..' to move up in the directory tree, and the arrow <-- to move backward. The dates of file creation can be displayed by pressing the button [dates]. file ordering by name or date can be chosen by the popumenu above. A path can be directly entered by copy-paste in the upper edit window of the browser.
  • [browse campaign...]: scan the data organised as a project/campaign, see section 3.7.
  • Previously opened fields are memorised in the menu and can be directly selected again.

• [Open_1] : used like [Open] to select a second field, for comparisons with the main one.

• [Export] : used to export the currently displayed data, either as array structure in the Matlab workspace, either as a figure or a movie (for a succession of views), or plotted on an existing figure (axes) for comparison with previous data.

• [Projection object] : used to create projection objects (points, lines, patches, gridded planes) for data analysis and interpolation

• [Tools]:
  • [Geometric calibration] for geometric calibration of images
  • [LIF calibration]: calibration of images for Laser Induced Fluorescence
  • [Make mask]: for creating mask images (for PIV)
  • [Make grid]:: for making measurement grids for PIV
  • [ruler]: displays a ruler to measure lengths and angles of any line.

• [Run] :
  • [Field series]: gives access to the GUI 'series.fig' for processing field series.
  • [CivX(Fortran)]: gives access to the GUI 'civ.fig' for Particle Imaging Velocimetry (CivX version in Fortran).

• [Help] : displays this help file using the Matlab browser.

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2.3 Displaying the input file name

After selection by the browser, the path and file names are determined. The path is split into the two first edit boxes [RootPath] and [SubDir], while the file name is split into a root name [RootFile], file index string [FileIndex], and file extension [FileExt]. The input file name can be directly entered and modified in these edit boxes, without the browser.

Once a root name has been introduced, navigation among the file indices is provided by the red push buttons [runplus] ( [+>]) and [runmin] ([<-]). The central push button [run0] ([!0]) refreshes the current plot. See section 3.4 for more details.

When available, the time of each frame or field is displayed in the edit box [TimeValue], at the very right. In the case of image pairs, the time interval Dt is displayed between the edit boxes [i1], [j1] and [i2], [j2]. This timing information can be read directly in the input file, in the case of movies or Netcdf files, or can be defined in a xml documentation file, see section 3.5 (in case of conflict, the latter prevails).

Note: the five last input file names, as well as other pieces of personal information, are stored for convenience in a file (uvmat_perso.mat) automatically created in the user preference directory of Matlab (indicated by the Matlab command '>>prefdir'. Browsers then read default input in this file. A corruption of this file uvmat_perso.mat may lead to problems for opening uvmat, type '>>reinit' on the Matlab prompt to delete it and reinitialise the configuration of uvmat.

2.4 General tools

• Mouse motion: the local coordinates and field values are obtained by moving the mouse over a plotting axes. They are displayed in the text box [text_display] on the upper right.

• Zoom: is activated by selecting the check box [CheckZoom] on the upper right. Zoom in by pressing the left mouse button on the graph. Zoom out by pressing the right mouse button. Alternatively, a zoomed region can be displayed as a separate figure by selecting [CheckZoomFig] and drawing a rectangle with the mouse. The zoomed region can be translated through the initial field by pressing the directional arrows of the keyboard.

• Graph limits: they automatically adjust to the field when the check box [CheckFixLimits] is not selected (default). Otherwise they remain fixed, and can be adjusted by the check boxes [num_MinX], [num_MaxX], [num_MinY], [num_MaxY].

• Coordinate aspect ratio: when [CheckFixAspectRatio] is selected (the default option for images), the scale ratio for the x and y coordinates is fixed to 1 by default (it can be manually adjusted by the edit box [num_AspectRatio]. When [CheckFixAspectRatio] is not selected the graph scales along x and y automatically adjust to the figure size.

• Extracting graphs: The graph displayed in the central window can be copied to a separate figure by pressing the menu bar command [Export/extract figure]. This allows plot editing, exporting in image format and printing, using standard Matlab graphic tools. Plots can be also exported on an existing figure for data comparison, using the option [Export/export on axis]. A movie can be produced using the command [Export/make movie avi].

• Extracting data as Matlab arrays. Information stored in the GUI uvmat (as UserData in the figure) can be extracted in the Matlab work space by the menu bar command [Export/field in workspace] (or by pressing the right mouse button on the GUI). Type '>>Data_uvmat.Field' to get the current input field as a Matlab structure. An image or scalar matrix is for instance obtained as Data_uvmat.Field.A.

3 Input files and navigation with uvmat

3.1 Input data formats

uvmat can read any image format recognised by the Matlab image reading function imread.m. Images can be in true color or B&W, with 8 bit or 16 bit grey levels. Image files containing multiple frames are handled. Movie files can be also opened, using the Matlab function VideoReader.m, or mmreader.m for older versions of Matlab.

Uvmat can also read various kinds of data in the format Netcdf. Velocity fields obtained by PIV and results of data processing are stored in this format, see section 7 for details. Derived quantities (vorticity, divergence...) can be directly obtained. The input file type is recognized by the function get_file_type.m of uvmat and the file is opened by the function read_field.m according to this file type. it is possible to include new input file types by a modification of these two functions.

The PIV software CIVx requires B&W images in the format png (portable network graphics). It is a binary format for images with lossless (reversible) compression, recommended by w3c (​http://www.w3.org/Graphics/PNG). It is an open source patent-free replacement of GIF and can also replace many common uses of TIFF. It can be read directly by all standard programs of image visualisation and processing. Compressing a raw binary image to its png form typically saves disk storage by a factor of 3.

For 3D PIV, 'volume' images, with file extension .vol are used. These are images in the png format, where the npz slices are concatenated along the y direction, forming a composite image of dimension (npy x npz, npx) from the images (npy x npx).

3.2 Selecting fields from CIV

The package uvmat recognizes the NetCDF fields obtained from the CIVx software. This includes the velocity fields and their spatial derivatives, as well as information about the CIV processing (image correlation values and flags). The vorticity, divergence, or strain are read in the same NetCDF files, but are available only after a PATCH operation has been run in the CIVx software, see section 11.

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When a CIV field is recognised, the popup menu [Fields] is set by default to 'velocity' while a menu [VelType] (with items 'civ1', 'filter1',..) appears at the upper right of the GUI.

The choice can be imposed by selecting a check box, or can be left automatic. The second iteration (civ2, filter2), presumed to be of higher quality, is prefered by default. The filter fields are interpolated on a regular grid, with or without smoothing respectively. It allows to fill holes and get spatial derivatives. If a scalar depending on spatial derivatives, like vort, is selected, the field option switches automatically from civ to filter.

The choice of fields, velocity, vorticity, divergence... is done by the popup menu [Fields]. The option 'image' gives access to an image file corresponding to the velocity field. The option 'get_field...' allows the user to display all the variables of the netcdf file in the GUI get_field.fig. This is the only available option when the input file is not from CIV.

3.3 File naming and indexing

Different kinds of file or image frame indexing are defined:

-Simple series: files in a series can be labeled by a single integer index i, with name obtained by concatenation of the full root RootPath/RootFile), an index string suffix, and the file extension FileExt (example Exp01/aa_45.png). A frame series can be alternatively read from a single movie file. Then the index i stands for the frame index within the file.

-Double index series: they are labeled by two integer indices i and j. This double index labeling is commonly used for bursts of images (index j or equivalently a letter appendix 'a', 'b') separated by longer time intervals (index i). It can be also used for successive volume scanning by a laser sheet, with index j representing the position in the volume and i the time. For a set of indexed movies (or multimage files), the index i labels the files while the index j labels the frames within a file.

-Pair  indexing: new file series can result from the processing of primary series. For a sequential processing limited to a single file, the output index naturally reproduces the input index. Other processing functions involve pairs of input files, for instance Particle Imaging Velocity from image pairs. In a simple series, the result from the two primary fields *_i1 and *_i2 is then labeled as *_i1-i2 with the file extension indicating the output format. More generally, the result from any processing involving a range of primary indices from i1 to i2 is labeled as _i1-i2. If i1=i2 or j1=j2, the two indices are merged in a single label i, or j respectively.

-Nomenclature types: The nomenclature type is defined as the character string representing the index (or indices) for the first file in the series, for instance '_1' for a single indexing and '_1-2' for a pair indexing, '_1_1' for a double index series. The second index j can be also represented as a letter suffix, for instance '01a'. For a field series in a single file, like a movie, the nomenclature type is defined as '*'. The functions fullfile_uvmat.m generates a file name from a root name, four numerical indices i1,i2,j1,j2 and  the nomenclature type. The reverse operation, splitting a name into a root and indices while detecting the nomenclature type, is performed by the function fileparts_uvmat.m. The function find_file_series.m is also needed to scan the whole file series, leading to a possible adjustement of the nomenclature type (for instance distinguishing '_001' from '_1' when the file with index 1000 has been opened). Once the nomenclature type has been detected by the browser of uvmat.fig, it is displayed in the edit box [NomType] and used to generate all the file names when the series is scanned.

3.4 Navigation among field indices

The field indices can be incremented or decremented by the push buttons [runplus] ( +) and [runmin] (-) respectively. This scanning is performed over the first index (i) or the second one (j), depending on the selection of the check boxes [scan_i] or [scan_j] respectively. The step for increment is set by the edit box [increment_scan]. If this box is blank (or does not contain a number) the next available file is opened.

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The current indices are displayed in the four edit boxes [i1], [i2], [j1], [j2]. The two first indices i1 and j1 are used for image series, while the second line i2, j2 is used to label the image pairs used for PIV data. The file indices can be directly set in these edit boxes, or equivalently in the edit box [FileIndex] at the top of the GUI.

For navigation with index pairs, the reference index, defined as the integer part of the mean value ((j1+j2)/2), is incremented. If the check box [fix_pair] is selected, the difference j1-j2 is then fixed while the reference index i or j is incremented. Else the pair with appropriate reference index is searched. In the case of multiple choices, the most largest index interval is chosen. This allows us to scan successive fields obtained with different image pairs (to deal with time evolving velocity fields).

The maximum value detected for each index is indicated by the boxes [last_i] and [last_j] respectively.

-slices: Images may be obtained with laser scanning in a multilayer mode, introducing a periodicity for the index i. This can be accounted by pressing the pushbutton [slices] and introducing the period in the edit box [num_NbSlice] which then appears. The index i modulo nb_slice then appears in the edit box [z_index].

-Movie scan: Fields can be continuously scanned as a movie by pressing the pushbuttons [Movie] ( [++>]) or [MovieBackward] . The movie speed can be adjusted by the slider [speed]. Press [STOP] to stop the movie.

-Keyboard short cuts: the activation of the push buttons [runplus] and [runmin] can be performed by typing the key board letters 'p' and 'm' respectively, after the uvmat figure has been selected by the mouse. Similarly the command of the push button [run0] can be performed by typing the 'return carriage' key.

3.5 Image documentation files (.xml)

Information on image series is provided by a documentation file in the format xml. This file can include sections about image timing, geometric calibration, camera type and illumination. An xml file is a text file in which each element of information, or group of elements, is labelled by a tag. The list of tags and their hierarchical organisation is specified by a schema file (.xsd). The schema used for image documentation is ImaDoc?.xsd, available in the uvmat package at the path indicated in {PARAM.xml}). For a general introduction to the xml language, see ​http://www.w3schools.com/xml.

When a new file series is opened in uvmat, a documentation file is automatically sought, whose path and name are displayed by RootPath and RootFile respectively, with extension {.xml} (RootPath and RootFile are the contents of the edit boxes [RootPath] and [RootFile]). The detection of this file is indicated by the visibility of the pushbutton [view_xml] on the upper right of the GUI uvmat.fig. Press this button to see the content through an xml editor editxml.fig (described in section 10). The xml file can be also opened directly by the uvmat browser, or by any text editor.

The xml file <ImaDoc> can contain the following sections:

• <Heading>: contains elements <Campaign>, <Experiment>, <DataSeries>, which recall the position of the file in the tree structure of data files. This allows the user to check that the document file has not been displaced.
• <Camera> contains information on the camera settings, as well as the timing of all the images in a subsection <BurstTiming>. <TranslationMotor> and <Oscillator> contains information on the mechanical devices used to produce the laser sheet and scan volumes.
• <GeometryCalib> contains the parameters of the geometric calibration relating the pixel position to the real space coordinates (see section 8]). In the case of volume scanning, it also describes the set of laser plane positions and angles.
• <Illumination> describes the illumination system used, including the position of the laser source.
• <Tracor> describes the properties of the flow tracor (particle, dye...)

The detailed commented structure is provided in the schema file ImaDoc?.xsd. The xml documentation file is read by the function imadoc2struct.m. If this file does not exist, a file with the same root name but extension .civ is sought (obsolete format).

3.6 Ancillary input files

• Mask: Masks are used to avoid PIV computations in specified areas. The file is a B&W 8 bit png image, with the same size as the image it has to mask. The grayscale code used is :
  • Intensity < 20: ('black mask') the vector in this place will be set to zero
  • 20 < Intensity < 200:('gray mask') the vector in this place will be absent
  • Intensity>200 the vector will be computed The mask corresponding to an image or velocity field can be displayed in uvmat.fig by selecting the check box [view_mask]([CheckMask?]) on the upper left. Images with appropriate name can be automatically recognised by uvmat.fig and civ functions, see section 9.1. Otherwise file selection by a browser is proposed when [view_mask] is selected.

• Grid: List of numbers (in ascii text) specifying the set of points where the PIV processing is performed. It specifies the number of points n and a corresponding list of x and y coordinates expressed in image pixels, as follows

  n X1 Y1 X2 Y2  ......  Xn Yn 
  

The coordinates correspond to the center of the correlation box on the first image of the pair (the actual vector position will be shifted by half the displacement found between the two images). A tool to create grids is described in section 9.2.

• .fig Matlab figures represent plots but also Graphic User Interfaces (GUI). In that case Matlab functions (callbacks) are attached to the graphic objects in the figure and can be activated by the mouse. Matlab figures can be directly opened by the browser of uvmat.fig.

• '.civ' (obsolete) ascii text file containing the list of image times and the scaling in pixels/cm. This is an obsolete version of the xml image documentation file. It is stored in the same directory as the corresponding series of images, with name root .civ (instead of {root.xml}). It is automatically sought by uvmat.fig and civ.fig, in the absence of an xml file ImaDoc?. (it is read by the function read_imatext.m).
  • Example : %... gives comments (not included in the file). This example is from an experience with 19 bursts of 4 images, named aa001a,aa001b,aa001c,aa001d,aa002a,aa002b,...,aa019c,aa019d, with an extension .png. The correspopnding .civ file is named aa.civ.

19                              % number of bursts 
1024 1024                       % image size npx npy 
4                               % number of images per burst
2                               % not used 
0.016667                        % time of exposure (in seconds)
5.860000 5.860000               % scaling pixel/cm x and y directions 
5.860000 5.860000               % same 
0                               % not used 
1 0.000000 30 60 30 1           % for each line: burst number; time elapsed in second from the beginning; number of frames
2 25.001003 30 60 30 1          % between image a and image b; number of frames between image b and image c; number of frames
 .........................      % between image c and image d; image acquisition duration in frames
18 424.999847 30 60 30 1 
19 450.000824 30 60 30 1           

• .cmx ascii text files containing the parameters sent by the GUI civ.fig to the CIV fortran programmes. Each velocity field named *.nc results from a parameter file *.cmx. It can be opened by the browser of uvmat.fig. In a later version of civx, the .cmx file is replaced by a .xml ’CivDoc’ file.

• .log ascii text files, containing information about processing in batch mode. Each velocity field named *.nc is associated with a file *.log. A file *_patch.log is similarly produced by the ’patch’ program. These files can be opened by the browser of uvmat.fig.

3.7 Data organisation in a project:

The package is designed to foster a good data organisation. The raw data from a project should be organised as:
Project/Campaign/Experiment/DataSeries/data files.

• 'Project': contains all information from a project.
• 'Campaign' corresponds to a series of experiments obtained by varying a given set of physical parameters. A set of parameter names (with units) is expected to be associated to a campaign. A project may involve several campaigns corresponding to different configurations, hence different relevant parameters. For a single configuration, 'Campaign' can be at the top of the data tree, without an additional 'Project' level. The uvmat package does not manage levels above 'Campaign'.
• 'Experiment' is a directory containing all the data for a particular experiment, defined by a choice of values for the physical parameters.
• 'DataSeries' contains an image series or movie from a camera, or more generally a data series from a device. Its name must correspond to the device and remain the same for all the experiments using this device. The results from data processing, as provided by 'civ' or 'series', are stored at the same level in a DataSeries directory, named from the source one with a extension specific to the processing program, for instance .civ for the PIV data.

Mirror data trees can be created to process a source data set in read only mode, to preserve the safety of the data source, and to allow several users to work in parallel without interference. This is done by opening the source Campaign with the menu bar option Open/browse campaign from uvmat. Select the source campaign directory with the browser. Then the GUI 'browse_data' appears. Then press 'create_mirror' and select the directory which must contain the mirror Campaign. A set of directory is then created for each experiment, in which are created symbolic links to the DataSeries directories. Data processing then results in real DataSeries directories created in the Experiment directory. An xml mirror.xml is created inside the directory mirror to mark its role; This xml file contains the path and name of the source directory under the label <SourceDir>. The mirror directory can be regularly updated by pressing the button 'update_mirror'.

4 Scalar and vector display

The uvmat interface primarily reads and visualises two-dimensional fields, which can be images or scalars, or vector fields.

4.1 Images and scalars:

Images are matrices of integers, visualised by the Matlab function imagesc.m.

True color images are described by a matrix A(npy,npx,3) of integers between 0 and 255, the last index labeling the color component red, green or blue. They are displayed directly as color images.

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The greyscale images are described by a matrix A(npy,npx) of integers, whose range depends on the camera dynamics (0 to 255 for 8 bit images, 0 to 65535 for 16 bit images). They are represented with gray levels, according to the colorbar displayed on the right. The luminosity and contrast can be adjusted using the edit boxes [num_MinA] and [num_MaxA] on the right of the interface: the luminosity level set by [num_MinA] (and levels below) is represented as black, and the luminosity level set by [num_MaxA] (or levels above) as white. When the check box [CheckFixScalar] is not selected, these bounds are set automatically to the image minimum and maximum respectively. Then the image may appear dark if a single point is very bright, in that case a lower value must be set by [num_MaxA]. Greyscale images can be displayed with false colors, from blue to red, by unselecting the check box [CheckBW].

Two images can be visually compared by switching back and forth between them as a short movie. This is quite useful to get a visual feeling of the image correlation for PIV. This effect is obtained by introducing two image indices in the edit boxes j1 and j2 (or i1 and i2), and selecting the button [movie_pair] ('[<-->]') to switch between these two indices. The speed of the movie can be adjusted by the slider [speed]. Press [movie_pair] again, or [STOP], to stop the motion.

Scalar fields are represented like greyscale images, by default with a false color map ranging from blue (minimum values) to red (maximum), or as gray scale images by selecting the check box [CheckBW]. Other color maps can be used by extracting the figure with the menu bar button [Export/extract figure], then using the standard Matlab button [Edit/Colormap] in the figure menu bar.

Scalar are represented by matrices with real ('double') values, unlike images which are integers. They can be alternatively defined with unstructured grid (see section 5.1): they are then linearly interpolated on a regular grid before visualisation (a fairly slow process).

Scalars (or image intensity) can be also represented with contour plots, by switching the popup menu [Contours] from the setting 'image' to the setting 'contours'. Contours for positive scalar values are in sold line while contours for negative values are dashed. The interval between contours can be set by the edit box [num_IncrA].

4.2 Vectors

The vector fields are represented by arrows. The length of the arrows is automatically set when the check box[CheckFixVectors] is not selected, or it can be adjusted by the edit box [num_VecScale]. For clarity of visualisation, the number of displayed vectors can be divided by 2 or 4 in each direction by selecting the check box [CheckDecimate4], or [CheckDecimate16] respectively.

Each vector has a color, ranging from blue to red, which can represent an associated scalar value. In addition, black and magenta colors represent warning and error flags respectively. This color system is primarily designed for PIV data but can be used in other contexts as well.

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-Warning flags: they indicate a vector resulting from a dubious image correlation process, but not removed from the data set. Their display in black can be desactivated by selecting the check box [CheckHideWarning].

-Error flags: they mark in magenta color vectors considered as false. These vectors are kept in the data set so that their elimination can be reversed, but they must not be taken into account for data processing. They can be removed for visualisation by selecting the check box [CheckHideFalse].

-Associated scalar: for PIV velocity fields, the color represents by default the image correlation, ranging from 0 to 1. The red values correspond to poor correlations, green to fair values, and blue to good ones. The value range covered by each of the three colors is set by the pair of sliders [Slider1] and [Slider2], or equivalently by the edit boxes [num_ColCode1] and [num_ColCode2]. Other color representations can be specified. [ColorScalar] sets the scalar used for color representation, for instance the vector norm 'norm_vec' or vorticity 'vort' (the list of available scalars is set by the function {calc_scal.m}). [ColorCode?] sets the kind of color representation:

• 'rgb': color ranging from red, for the scalar value set by [num_MinVec], to blue, for the scalar value set by [num_MaxVec]. The color thresholds from red to green and green to blue are set by [ColCode1] and [ColCode2] respectively, or the sliders [Slider1] and [Slider2]. By unselecting the check box [CheckFixVecColor?], these thresholds can be set to match the min and max scalar values.
• 'black' or 'white': set the color for all vectors
• 'brg': same as rgb but in reverse order, with blue for the lowest scalar values.
• '64 colors': quasi-continuous color representation, ranging from blue (for the scalar value given by [num_MinVec], to red, for the scalar value given by [num_MaxVec].

-Mouse display: when the mouse is moved over a vector, it is marked by a circle, and its features appear in the display text boxes on the upper right. These are -* fist line: the position coordinates x, y, (z for 3D cases). -* second line: the vector components -* third line: the vector index in the file, the values of the scalar (C), the warning flag (F) and the error flag (FF). The meaning of the flag values is given in [section 10.3->#sec10.3].

-Manual editing of vectors: vectors can be manually set as 'false' by pressing [Edit/Vectors] in the menu bar, then selecting the vector with the mouse. The selected vector becomes magenta. Inversely, if a magenta vector is selected, it is rehabilitated and retrieves its initial color. The corrections are recorded as false flags in the data file by pressing the pushbutton [record].

4.3 Histograms

Histograms of the input fields are represented on the bottom left. The choice of the variable is done by the menu [histo1_menu].

For color images, the histogram of each color component, r, g, b, is given with a curve of the corresponding color. In case of saturation, the proportion of pixels beyond the max limit is written on the graph.

4.4 Comparing two fields

A second field series can be opened and compared to the first one, using the menu bar command [Open_1]. Then a new file name and indices appear on the second line, as well as the check box [SubField?] on the very right. The second field can be alternatively obtained by selecting a field in the popup menu [Fields_1] (under [Fields]).

If the two files are both images or scalar, their difference is introduced as the input field. If one field is an image (or scalar), while the other one is a vector field, the image will appear as a background in the vector field. This is convenient for instance to relate the CIV result to the quality of the images, or to relate vorticity to the vector field.

If two vector fields are compared, their difference is taken as the input field, and is then displayed and analysed. If the two fields are not at the same points, the velocity of the second field is linearly interpolated at the positions of the first one (using the Matlab function {griddata.m}). The color and flags are then taken from the first field.

The two file series will be scanned simultaneously by [runplus] ( '->') and [runmin] ('<-') , according to their own nomenclature. It is also possible to manually edit the second file indices [FieldIndex_1] to compare two fields with different indices. If available, the time of the second field is indicated in the edit box [abs_time_1] at the very right, below the time of the main field.

The second field can be removed by unselecting the check box [SubField?] on the very right.

4.5 Field transforms

A transform can be systematically applied after reading the input field, for instance the transform 'phys' which takes into account geometric calibration. This transform can possibly combine two input fields, for instance to substract a background from an image. The processing function is chosen by the popup menu [transform_fct] on the left, and its path is displayed in the box [path_transform]. Select the option 'more...' to browse new functions. The same functions can be called in data processsing using the GUI series.fig. A few functions are provided in the folder /transform_fct, see list in [annex->#overview].

These functions can transform fields into polar coordinates, do image filtering, Fourier transform, signal analysis for a 1D input field... Other functions can be easily written using those as templates. The general form of such functions is DataOut?=transform_fct(DataIn?,XmlData?,DataIn_1,XmlData_1) where Data is an input field object, as described in [section 5.4->#sec5.4], and XmlData? the content of the xml file Imadoc, as stored in the uvmat GUI. XmlData? contains in particular the element .GeometryCalib? containing the calibration parameters, see [section 7->#geometry_calib].

4.6 Succession of operations:

The following succession of operations is performed by uvmat.fig:

-File identification: the nomenclature type and file type (for instance image, movie, or Netcdf file) are identified from the opened file (using the function find_file_series.m).

-File Reading: the input field is first read from the input file by the Matlab function read_field.m.

-Second file reading: The second input field is similarly read if selected. Note that it is kept in memory, so it is not read again if the file is unchanged (this is useful in the case of substraction of a fixed background for instance).

-Transform: by default the 'phys' option transforms each of the input fields from pixel to physical coordinates. This operation can also combine two input fields. -Histogram: This is obtained from the input field in transformed coordinates, or if applicable from the fields resulting from the two input fields.

-Projection: on the projection object selected in the menu [ListObject_1], see section 6. A second projection, on the object selected by [ListObject?], can be plotted in the ancillary figure view_field.fig. Projection is performed by the function {proj_field.m}.

-Field calculation: a scalar can be calculated after projection, as selected by the menu [Fields].

-Field comparison: when two fields of the same nature are introduced, the difference is taken by the function {sub_field.m.}. This is skipped if the transform function has already led to a single field.

-Plotting: plot the results of projection. The function {plot_field.m} is used.

5- Field structures

5.1 Griding of data

Physical fields can be defined either on regular grids, either scattered on an unstructured set of positions. Some measurements techniques, like PIV or particle tracking, provided unstructured data, while most methods of analysis require data on a regular grid. This can be done by interpolation, defining a projection on a plane (with ProjMode='interp...', see next section). The three possibilities of griding are defined as follows:

-Regular grid:

Each field is then a multi-dimensional array whose dimensions match the space dimensions. Because of the grid regularity, the set of positions is fully defined by the coordinate value for the first and last index along each dimension of the array.

-Structured orthogonal grid:

Each field is again a multi-dimensional array V whose dimensions match the space dimensions, but the coordinates may not be regularly spaced, so they are represented as a monotonic 1D array variable with the same length as the corresponding dimension of V. This is called a coordinate variable (see section 7.1).

-Unstructured coordinates:

Fields may be alternatively obtained on a unstructured (grid-less) set of positions. The coordinates are then described by coordinate arrays X(nb_points), Y(nb_points), Z(nb_points). The corresponding field values are then represented as variables U(nb_point),V(nb_point) for each vector component, or alternatively by V(nb_points, j, i), where i, j possibly stand for vector or tensor components.

-Thin plate shell (tps) interpolation:

This is a multi-dimensional generalisation of the spline interpolation/smoothing, an optimum way to interpolate data with minimal curvature of the interpolating function. The result at an interpolation position vector ${\bf r}$ is expressed in the form, (see ​http://coriolis.legi.grenoble-inp.fr/spip.php?article73)

$$\label{sol_gene} f({\bf r})=\sum S_i \phi({\bf|r-r_i}|)+a_0+a_1x+a_2y\; $$ where ${\bf r_i}$ are the positions of the measurement points (the centres). Each centre can be viewed as the source of an axisymmetric field $\phi$ of the form $\phi(r)=r^{2\log (r)$. The weights $S_i$ and the linar coefficients $a_0,a_1,a_2$ are the thin plate shell (tps) coefficients which determine the interpolated value at any point. The spatial derivatives are similarly obtained at any point by analytical differentiation of the source functions $\phi(r)$. These tps weights, with the corresponding centre coordinates, therefore contain all the information needed for interpolation at any point. We call that a tps field representation.}

Because of memory limitation, the tps interpolation must be done in sub-domains for large data sets (with non-empty overlap to avoid steps). Then the tps coordinates and tps weights are represented with an addition index, labelling the subdomain.

5.2 Field representation as Matlab structure

The uvmat package represents data as Matlab structures, a set of data elements characterized by a tag name (char string) and a value. The value can be any Matlab object: number, array, character string or cell, or a structure itself, providing a data organisation as hierarchical tree. Each element is denoted in the form Data.tag=value.

Data are kept in memory in the GUI uvmat as a Matlab structure, stored as UserData in the GUI figure. This structure can be extracted by the menu bar command [Export/field in work space], then typing the Matlab command '>>Data_uvmat'. It contains the current input field as a substructure Data_uvmat.Field.

This field has a specific organisation, mirroring the structure of netcdf files (see section 7). The field is described by a set of (single or multidimensional) data arrays, called the variables. The dimensions of these arrays have names, in order to identify correspondance between different arrays. For instance the arrays representing the velocity components U and V must have the same dimensions. A dimension has a specific value, which sets the common size of all arrays sharing this dimension. Field description furthermore involves optional attributes to document the field data, for instance to specify the role of variables or to provide units. These attributes can be global, or can be attached to a specific variable.

In summary, the field structure is specified by the following elements:

• (optional) ListGlobalAttribute: list (cell array of character strings) of the names of global attributes Att_1, Att_2...
• (mandatory) ListVarName: list of the variable names Var_1, Var_2....(cell array of character strings).
• (mandatory) VarDimName: list of the dimensions associated with each variable: this is a cell array whose number of element is equal to that of ListVarName. Each element is the dimension name for a unidimensional variable, or a cell array specifying the list of dimension names for a multidimensional variable.
• (optional) VarAttribute: cell array of structures of the form VarAttribute{ivar}.key=value, defining an attribute tag name and value for the variable #ivar (variable number in the list ListVarName]).
• .Att_1, Att_2... : values of the listed global attributes.
• .Var_1, .Var_2...: variables arrays whose names are listed in ListVarName.

In some cases, it is useful to define the field object independently from its data content. Then the variables .Var1... are replaced by the lists of dimension names and values.

• ListDimName: list of dimension names (cell array of character strings)
• DimValue: array of dimension values corresponding to LisDimName.

The following temporary information is added to manage projection and field substraction oerations, which must be done in general after projection:

• ProjModeRequest= interp_lin or interp_tps indicates whether lin interpolation or derivatives by tps is needed to calculate the requested field.
• Operation: name (char string) of the operation to be performed to finalise the field cell after projection.
• SubCheck= 0 /1 indicate that the field must be substracted (second entry in uvmat)

Any other element can be added, but will not be taken into account if they are not listed in ListGlobalAttribute or ListVarName.

5.3 Conventions for attributes in field objects:

-Global attributes active in uvmat: those are used for plot settings or data processing.

• 'Conventions':
  • ='uvmat': indicate that the conventions described here are followed
  • ='uvmat/civdata': indicate that the variables are named according to #civdata.
• 'CoordMesh': typical mesh for coordinates, used to define default projection grids and mouse selection action. Calculated automatically from the data if not specified.
• 'CoordUnit': character string representing the unit for space coordinates. It is used to distinguish image coordinates (CoordUnit='pixel') and physical (for instance CoordUnit='cm'). If 'CoordUnit' is defined, [projection ->#set_object] will be allowed only on objects with the same 'CoordUnit', and plots will be done by default with axis option 'equal' (same scale for both axis).
• 'Dt': time interval for CIV data. It is used for calibration, to transform displacement into velocity.
• 'Time': real number indicating the time of the field, used to obtain time series from data sets.
• 'TimeUnit': character string representing the unit of time (consistently for Time, Dt and velocity).

-Global attributes , unactive those are merely used for information purpose

• Project: recalls the project name
• Campaign: recalls the campaign name
• Experiment: recalls the experiment name(s) of the raw data
• DataSeries: recalls the device name (s), if defined, of the raw data
• ObjectStyle: ='points', 'line', 'plane', denotes the style of geometric object on which the data have been 'projected'. For instance a profiler project a physical field along a line.
• ObjectCoord: Coordinates defining a geometric object on which the data have been projected.
• ObjectRangeX, ObjectRangeY, ObjectRangeZ : range of action of a projection object along each coordinate, see section 6.
• 'long_name':(convention from [unidata->​http://www.unidata.ucar.edu:]) a long descriptive name, could be used for labeling plots, for example. If a variable has no long_name attribute assigned, the variable name should be used as a default.

-Attributes of variables:

• Mesh: suggested step value to discretize the values of the variable, used to define the bins for histograms.
• Role: it specifies the role of the variable arrays for plotting or processing programs, see below. if Role is not defined variables are considered by default as 'scalar'.
• Unit or 'units' (convention from [unidata->​http://www.unidata.ucar.edu:]) : char string giving the unit of a variable, used in plot axis labels (overset by global attributes 'CoordUnit' and 'TimeUnit' if defined).

-The attribute 'Role': the following options are used for the attribute 'Role':

• 'ancillary': information of secondary use, indicating for instance an error estimate of field variables within a field cell (omitted in plotting)
• 'coord_x', 'coord_y', 'coord_z': represents a sets of unstructured coordinates x, y and z for the field variables sharing the same dimension name.
• 'coord_tps': coordinates of thin plate shell (tps) centres used for spline interpolation.
• 'discrete': field with discrete values (no spatial interpolation), repesented with dots (no line) in 1D plots.
• 'errorflag': provides an error flag marking the field variables as false or true within a field cell , default=0, no error. Different non zero values can mark different criteria of elimination, see [section 10.3->#sec10.3] for PIV data. Such flagging is reversible, since the data themselves are not lost.
• 'grad_x', 'grad_y', 'grad_z' :represents the x, y or z component of a contravariant vector (like gradients).
• 'image_rgb': represents a color image. The last dimension of the array corresponds to the three color components 'rgb'. -* 'scalar': (default) represents a scalar field
• 'tensor': represents a tensor field whose components correspond to the two last dimensions of the array.
• vector: matrix whose last dimension states for the vector components.
• 'vector_x', 'vector_y', 'vector_z' : represents the x, y or z component of a vector (covariant)
• 'warnflag': provides a warning flag about the quality of data for the field variables within a field cell., default=0, no warning.

5.4 Field cells:

The variables of field structures can be grouped into field cells representing data sharing the same coordinates. Differerent types of field cells are identified for processing and plotting. This identification is performed by the function find_field_cells.m which first groups the variables into cells sharing common array dimensions, determines their spatial dimension, and idendify the following types of field cells, corresponding to the different kinds of data griding described in section 5.1

• Dimension variables: these are unique unidimensional variable arrays corresponding to a given dimension, leading to a cell with a single variable, dimension 1. This is interpreted as the set of coordinate values associated with this dimension. An alternative possibility, suitable for a coordiante with a constant grid mesh, is a variable array with two values with the same name as a dimension: it then specifies the lower and upper bounds of the coordinate.
• Field cell with structured coordinates: this is a cell of several variable(s) sharing the same set of dimensions associated with variables. (addditional dimension may indicate for instance a vector component, not associated with a coordinate).
• Field cell with unstructured coordinates: this is a cell of variables sharing the same set of unstructured coordinates, indicated by the attribute Role=coord_x, coord_y, coord_z.
• Thin plate shell (tps) field cell: represents an (unstructured) set of coordinates and tps weights in a way suitable for tps interpolation.

The field structure is furthermore indicated by using appropriate names for dimensions, but this is only for documentation, without use in processing functions (except for coordinate dimensions denoting coordinate range, see above). The following conventions are used:

• coord_1,_2,_3: dimension with the same name as a coordinate variable array (coordinate dimension)
• 'nb_coord': denotes the space dimension for vector components
• 'nb_coord_j', 'nb_coord_i': denotes the space dimensions for the two tensor components
• 'rgb' : denotes the diemension of the color component in a true color image.
• 'nb_point' or 'nb_vec' (for vectors) denotes the set of positions with unstructured coordinates.
• 'nb_tps': dimension of the index for the tps centres
• 'nb_subdomain' denotes the dimension for the subdomain index for tps coefficients

6- Projection objects

6.1 Definition and editing with the uvmat interface

These are geometrical objects used to define cuts along lines or planes, to interpolate fields on a regular grid, to restrict the analysis or visualisation to field subregions. When a 2D or 3D field is opened by uvmat, a default projection plane object is created. New objects are created by the menu bar command [Projection object] in uvmat.fig. The creation of a new object (points, line....) can be initiated by selecting the corresponding item in the menu. Alternatively, an existing xml object file can be opened by selecting the menu option [browse...].

In each case an auxiliary GUI set_object.fig describing the object properties appears, see next sub-section for their definitions. This GUI can be directly edited and object coordinates can be set by mouse drawing on the plot. In the latter case, refresh the plots by pressing [PLOT] in set_object.fig . Objects can be saved as xml files with the button [SAVE] of set_object.fig.

The projection of fields on objects is performed by the function proj_field.m, which can be used also in data processing. The projected field from a projection object drawn in the main plotting window of uvmat will be plotted in the secondary plotting GUI view_field.fig. The list of currently opened projection objects is displayed in the menus [ListObject] and [!ListObject_1] at the bottom right of uvmat.fig. One object can be selected in each of these menus: the projection on the object selected in [ListObject] is viewed in uvmat.fig while that of the object selected in [!ListObject_1] is viewed in view_field.fig. All the created objects are sketched in both views, except the one generating the currently plotted field (see [subsection 6.4->#sec6.4] for object representation). The active objects are plotted in magenta, while the inactive ones are in blue.

Objects can be viewed, edited, deleted...Also extracted as a Matlab structure using the menu bar command [Export].

6.2 Object properties

The objects are defined by the following set of properties:

• Name: any name given to the object
• Type: classify the object with the following choice:
  • 'points': set of n points
  • 'line': simple straight segment, defined by its two end points
  • 'polyline': open line made of n-1 consecutive segments (defined by n points)
  • 'rectangle': defined by its center, half width and half height.
  • 'polygon': closed line made of n consecutive segments (defined by n points)
  • 'ellipse': defined by its center, half width, half height, and Angle of axis with respect to 0x.
  • 'plane': plane with associated cartesian coordinates
  • 'volume': volume with associated cartesian coordinates

• ProjMode: : specifies the method of projection of coordinates and field, as described in next sub-section.

• Angle: : three component rotation vector used to define the orientation, for instance for planes.

• RangeX: , RangeY: , RangeZ: :bounds defining the range of projection along each coordinate, one or two values depending on the object type.

• DX: , DY: , DZ: :mesh along each coordinate defining a grid for interpolation.

• Coord: : matrix with two (for 2D fields) or three columns defining the object position.
  • for 'points', 'line', 'polyline', 'polygon': matrix with n lines [xi yi zi], corresponding to each of the n defining points. Note that in 3D case, polygons must be included in a plane, which imposes restrictions on these coordinates.
  • for 'rectangle', 'ellipse': coordinates of the center.
  • for 'plane' or 'volume': coordinates of the origin of the new coordinate frame attached to the object.

• CoordUnit?: units for the coordinates, must fit with the units of coordinates for the projected field.

6.3 Projection modes

Each field variable yields a corresponding variable with the same name in the projected field. in addition integral quantities (circulation, flux...) can be calculated. The result of projection depends on the object type, the nature of the coordinates, the Role of field variables and on the projection mode ProjMode:

• ProjMode = 'projection': this is a normal projection of the field data in a range of action around the object, as defined by the parameters 'RangeX', 'RangeY', "RangeZ'. The projection of an input variable defined on unstructured coordinates therefore remains unstructured. By contrast, an input variable defined on a regular grid always yields a projected variable on a regular grid (for instance on a line or plane). Error flags ?
  • 'points': each field variable is averaged in a sphere of radius RangeX (a single value) around each projection point and attributed to this point position.
  • 'line': for scattered coordinates, each initial data point within a range RangeY on each side of the line is normally projected on the line, keeping its field values. For grid lin interpolation and averaging. Vector quantities are furthermore projected on the line as longitudinal (X) and normal (Y) components. RangeX, with two values, can be used to set bounds along the axis.
  • 'plane': similar as line, RangeZ in 3D. RangeX and RangeY used to set bounds.
  • 'volume': used to set bounds in 3D within a box [RangeX, RangeY, RangeZ].
  • no action on 'polyline', 'rectangle', 'polygon', 'ellipse'.

• ProjMode 'interp_lin': Linear interpolation of the fields on a grid of regularly spaced points defined on the projection object, with meshes DX, DY, DZ. The grid array along x starts at RangeX(1) and ends at the closest value smaller than RangeX(2). Similar convention is used for y and z in case of planes and volumes.

• ProjMode 'interp_tps': interpolation with thin spline shell.

• ProjMode 'inside' and 'ouside ': defined only for closed lines: rectangle, polygon, ellipse. For each field U, its probability distribution function Uhist inside, or respectively outside, the line is calculated, as well as the mean Umean.

• ProjMode 'none', 'mask_inside', 'mask_outside': no projection operation. The object is used solely for plotting purpose, to show a boundary or to prepare a mask, inside or outside a closed line, see section 9).

6.4 Projected fields

The result of projection can be easily checked by creating the object in uvmat, and using the menubar option [Export/field in workspace] in view_field.fig.

• Projection on n points: for each variable U, a set of n values U(i),i=1 to n is obtained, together with the unstructured coordinates (X(i), Y(i)) of the n points, and Z(i) in 3D.
  • ProjMode= 'projection': the value U(i) is obtained as an average of the (non false) data values in a domain of sizes max(2RangeX, 2RangeY, 2RangeZ) centered at each projection point. An ancillary data U_nbval(i) is also obtained, indicating the number of non-false data around each point.
  • ProjMode= 'interp_lin': U(i),i=1 is obtained as a linear interpolation on each point.

• Projection on open lines: This includes the object styles 'line', 'polyline'. For vector fields, the projected x component is along the line and the y component is perpendicular. 3D case still needs to be implemented.
  • ProjMode='projection': in the case of unstructured coordinates, each data point in the region of action (width max(RangeY) around the line) is projected onto the line. The direction of projection is normal except if 'Phi' is non equal to 0 (only possible for 'line'). For structured coordinates with meshes DX,DY (DZ), data are interpolated on the line with a mesh =min(DX,DY,DZ). For each field component U, a corresponding projected field U is produced. If DX is defined on the line, a smoothed field U_smooth is also calculated, as well as the mean U_mean along the line.
  • ProjMode='interp_lin': non-false data are linearly interpolated on the line, with mesh =DX along the line. Data which are 'discrete','warnflag' or 'errorflag' (as defined by the attribute 'Role') are not projected.

• ProjMode?='interp_tps': same as 'interp' but with a smoothing operation.

• Projection on closed lines: , This includes 'rectangle','ellipse','polygon'. For ProjMode?='projection', 'interp', 'filter', it behaves like open lines (not all options implemented yet). For ProjMode?='inside' or 'outside', the pdf of each field variable, restricted to the inside or the outside respectively, is calculated.

• Projection on planes: Data in the range of action (RangeZ on each side of the plane) are projected normally to the plane, and its position expressed with respect to the coordinate system attached to the plane. This coordinate system is defined by an origin, the plane position XObject,YObject, ZObject, the ranges [RangeX(1) RangeX(2)] and [RangeY(1) RangeY(2)] for X and Y, and the Euler angles Phi, Theta, Psi.
  • ProjMode='projection': in the case of unstructured coordinates, all field variables are projected onto the plane. For structured coordinates with meshes DX,DY (DZ), data are interpolated on the line with a mesh =min(DX,DY,DZ).
  • ProjMode='interp_lin': non-false data are linearly interpolated on the grid defined by the plane coordinate system and and meshes DX, DY. Data which are 'discrete','warnflag' or 'errorflag' (as defined by the attribute 'Role') are not projected.
  • ProjMode='interp_tps': same as interp_lin but with thin plate shell interpolation.

• Projection on volumes: This is used to delimitate a volume for 3D representation

6.5 Object representation

Projections objects are drawn in magenta color when they are selected for creation or edition, and in blue otherwise.

• 'points' are represented by dots surrounded by a dashed circle showing the range of projection.
• 'line' , 'polyline' are plotted as lines, surrounded by two dashed lines showing the range of projection, when applicable (i.e. not in the case ProjMode='interp').
• 'polygon', 'rectangle', 'ellipse' are drawn. In the case ProjMode? ='inside' or 'outside' the corresponding area is painted in magenta (or blue when they are not selected).
• 'plane' are shown by their axis. These axis are limited to their range of selection (RangeX and RangeY) when applicable. Otherwise they end at the edge of the figure with an arrow.
• 'volume' are shown like 'plane', except that they are painted in magenta (or blue)

- {Creating and editing objects with the mouse:}

Object can be interactively drawn with the mouse on the GUI uvmat.fig . First activate the creation mode by selecting the appropriate item in the menu bar Tools.

• 'points': mark points with mouse left button. Use right click to end the series. The list of coordinates appear on the set_object interface. These can be then manually edited, use plot on the GUI set_object.fig to validate. The range of action can be set on the GUI set_object.fig by the edit box [YMax] (only needed in the ProjMode? 'projection'). This range is visualised by dashed circles around each point. The set of points can be determined from successive images (to track a feature for instance): for that purpose use the keyboard keys 'p' and 'm' to increament or decrement fields without the mouse.
• 'line': just draw a line, keeping the mouse left button pressed, release to end. The range of action, set by [YMax], is visualised by two dashed lines (only if ProjMode?='projection').
• 'polyline': draw a line with several segments, press and release the mouse left button to mark each summit, press the right button to end the line.
• 'rectangle': defined by its center, half width and half height.
• 'polygon': closed line made of n consecutive segments (defined by n points)
• 'ellipse': defined by its center, half width and half height.
• 'plane': plane with associated cartesian coordinates
• 'volume': volume with associated cartesian coordinates

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7- Netcdf files and the GUI get_field

7.1 The NetCDF format

NetCDF (network Common Data Form) is a machine-independent format for representing scientific data, suitable for large arrays (​http://www.unidata.ucar.edu/software/netcdf/). Each piece of data can be directly accessed by its tag name without reading the whole file. New records can be added to the file without perturbing the remaining information. The next release of NetCDF is now connected to the more recent hdf format.

The NetCDF format has been initially developed for meteorological data, but has been progressively chosen by many scientific communities. This format has been for instance proposed by the European network PIVNet (​http://www.meol.cnrs.fr/LML/EuroPIV2/Proceedings/p251.pdf ) to inter compare data obtained by various techniques of Particle Imaging Velocimetry.

Libraries for reading-writing and data visualisation with usual computer languages can be freely downloaded. Recent releases of Matlab contain built in functions for reading and writting netcdf files. For old versions, a free toolbox must be downloaded from from ​http://sourceforge.net/projects/mexcdf/. Uvmat deals with both cases.

The NetCDF data model consists of variables, dimensions, and attributes.

-Variables: N-dimensional arrays of data. Variables in NetCDF files can be one of six types (char, byte, short, int, float, double). Variables are used to store the bulk of the data in a NetCDF dataset. A variable represents an array of values of the same type and unit. A variable has a name, a data type, and a shape described by its list of dimensions specified when the variable is created. A variable may also have associated attributes, which may be added, deleted or changed after the variable is created.

-Dimensions: describe the axes of the data arrays. A dimension has a name and a length. The naming can be useful to identify groups of variables with one to one correspondence, sharing the same dimensions. It is legal for a variable to have the same name as a dimension, it is then called a coordinate variable. Such variables have no special meaning to the NetCDF library, but they can be used in processing software to link the arrays of coordinate values to their corresponding field variables.

-Attributes: annotate variables or files (global attributes) with small notes or supplementary meta data. Attributes are always scalar values or 1D arrays, which can be associated with either a variable or the file as a whole. Although there is no enforced limit, the user is expected to keep attributes small. Attribute names with specific meaning are defined in ​http://www.unidata.ucar.edu/software/netcdf/docs_beta/netcdf.html#Attribute-Conventions. An attribute '.Conventions' can be used to refer to additional sets of conventions used in a particular community.

In contrast to variables, which are intended for bulk data, attributes are intended for ancillary data, or information about the data. The total amount of ancillary data associated with a NetCDF object, and stored in its attributes, is typically small enough to be memory-resident. However variables are often too large to entirely fit in memory and must be split into sections for processing.

Another difference between attributes and variables is that variables may be multidimensional. Attributes are all either scalars (single-valued) or vectors (a single, fixed dimension).

Variables are created with a name, type, and shape before they are assigned data values, so a variable may exist with no values. The value of an attribute is specified when it is created, unless it is a zero-length attribute.

A variable may have attributes, but an attribute cannot have attributes. Attributes assigned to variables may have the same units as the variable (for example, valid_range) or have no units (for example, scale_factor). If you want to store data that requires units different from those of the associated variable, it is better to use a variable than an attribute. More generally, if data require ancillary data to describe them, are multidimensional, require any of the defined NetCDF dimensions to index their values, or require a significant amount of storage, that data should be represented using variables rather than attributes.

7.3 The GUI get_field

This GUI get_field.fig is designed to analyse a NetCDF file, showing all the variables, attributes and variable dimensions. Variables can be selected for input in uvmat or series. The GUI is opened by selecting the option get_field... in the menu FieldName? of uvmat or series. This option is automatically selected when the input NetCDF file is not recognised as CIV data.

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When a NetCDF input file is entered, the names and value of the global attributes are listed in the left column [attributes], the list of variables in the central column [variables], and the list of dimension names and values in the right column [dimensions]. By selecting one of the variables in the central column, the corresponding variable attributes and dimensions are displayed in the left and right columns respectively. Note that the whole content of the Netcdf file can be obtained by the function nc2struct.m. Input fields can be selected according to three options, chosen by the menu [FieldOption?].

-1D plot: to plot a simple graph ordinate versus abscissa. Select by the menu [ordinate] the variable(s) to plot as ordinate (use the key Ctrl for multiple selection). Then select the corresponding abscissa in the column [abscissa]. If the variable is indexed with more than one dimension, each component is plotted versus the first index (like with the plot Matlab function plot.m). If the option [matrix index]([CheckDimensionX]) is selected, the ordinate variable is plotted versus its index.

-scalar: to plot scalar fields as images. The variable representing the scalar is selected in the first column [scalar], with coordinates respectively selected in [Coord_x] and [Coord_y]. Alternatively, matrix index can be used as coordinate if the options [matrix index]([CheckDimensionX] and [CheckDimensionY]) are selected.

-vectors: to plot vector fields. The x and y vector components are selected in the first (...) and second columns, while the coordiantes are selected in [coord_x_vector] and [coord_y_vector]. If no variable is selected in [coord_x_scalar] or [coord_y_scalar] ( blank selected at first line), the index is used as coordinate. A scalar, set in ..., can be represented as vector color.

The time can be also set in get_field....

In the case of a 3D input field, the fig is set to uvmat. A middle plane of cut is automatically selected. This can be moved then with the slider on the interface set_object (see section 5). The default cuts are made at constant z coordiante, but any of the three initial coordiantes can be used as z coordinate, using the menu coord_z.

8- Geometric calibration

8.1 Generalities

Transforming image to physical coordinates is a key problem for measuring techniques based on imaging. The image coordinates represent the two cartesian axis X,Y of the image, with origin at the lower left corner. The coordinate of the first lower left pixel centre is therefore (1/2,1/2). Note that the Y axis is directed upward, while the corresponding image index j increases downward. Therefore, denoting npy the number of pixels along Y, the (X,Y) coordinates of a pixel indexed (i,j) are
X=i-1/2, Y=npy-j+1/2.

The physical coordinates are defined from the experimental set-up. The correspondance with images is obtained by identifying a set of calibration points whose positions are known in the physical coordinate system. A cartesian calibration grid covering the whole image is the best option, but any set of calibration points can be used. We handle three kinds of transforms:

-rescale: linear rescaling along x and y + translation (no rotation nor deformation)

-linear: general linear transform, including translation and rotation (but no perspective effects)

-3D projection: this transforms handles projection effects, as needed for stereoscopic view, as well as quadratic distortion, according to the pinhole camera model ( R.Y. Tsai, 'An Efficient and Accurate Camera Calibration Technique for 3D Machine Vision'. Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, Miami Beach, FL, pp. 364-374, 1986). We use a more recent version, with the toolbox [->​http://www.vision.caltech.edu/bouguetj/calib_doc/] . To use this option, the number of calibration points should be large enough and well spread over the whole image.

To deduce the 3D physical coordinates from the 2D image coordinates, the z position, or more generally a plane of cut, defined generally by a laser sheet, must be given as part of the calibration parameters. It is possible to introduce a set of planes obtained by volume scanning.

The transform coefficients for each image series are stored in the corresponding xml documentation file <ImaDoc>, in the section <GeometryCalib>. Calibration coefficients can be obtained with the GUI geometry_calib.fig.

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8.2 The GUI geometry_calib.fig}

- {Opening the GUI:} it is made visible from the GUI uvmat.fig by the menu bar command calibration? . If calibration data already exist in the current file <code>ImaDoc? </code>, the corresponding list of reference points is displayed in the central window [ListCoord?] of geometry_calib.fig. The three first columns indicate the physical coordinates and the two last ones the corresponding image coordinates. Calibration points can be alternatively introduced by opening any <code><ImaDoc?></code> xml file with the menu bar command [Open] of geometry_calib.fig.

- {Plotting calibration points:} press the menu bar command button [Plot] to visualise the list of calibration points. The physical or image coordinates will be used in the list [ListCoord?], depending on the option 'phys' or 'px' in the menu [transform_fct] of uvmat.fig .

- {Appending calibration points with the mouse:} Calibration points can be manually picked out by the mouse (left button click) after a calibration image has been opened by uvmat.fig (with the option or 'px' in the popup menu [transform_fct]), and the option [mouse_active] (at the very bottom) has been selected. Zoom can be used to improve the precision, but must be desactivated for mouse selection (then move across the image by the key board directional arrows). The coordinates in pixel of the selected points get listed in the box [ListCoord?] of geometry_calib.fig. A calibration point can be later adjusted by selecting it with the mouse and moving it while pressing the left mouse button. Points can be accumulated from several images (use the key board short cuts 'p' and 'm' to move in the image series without monopolising the mouse).

- {Editing the coordinates:}

For editing the physical coordinates of a calibration point, select it in the list [ListCoord?], and use the edit boxes [XObject], [YObject], [ZObject] (for 3D calibration). The image coordinates can be also edited by [XImage], [YImage], although they are preferably set directly by the mouse. Type 'return carriage' to validate the edition. The reference point can be suppressed by typing the 'backward' arrow on the key-board, or by filling the five boxes with blank values.

- {Creating a physical grid:} This tool grid? in the menu bar command provides the whole set of physical coordinates of a cartesian grid, after all their image coordinates have been picked out by the mouse. In the GUI Create_grid.fig which appears, set the first and last x and y values and the meshes for the physical grid corresponding to the points already selected by the mouse. The physical coordinates of all the grid points then appears on [ListCoord?].

- {Detecting a physical grid:} This tool grid? provides the same result as grid?, but it automatically recognises the grid points on the image, provided the four corners of the grid have been previously selected by the mouse. The calibration points are detected either as image maxima (option 'white markers'), or as black crosses (option 'black markers'). Their position can be adjusted by selection with the mouse.

- {Translation and rotation of calibration points:}

A translation or rotation (in physical space) can be introduced by the menu bar commands points? and points?. In the case of rotation, the origin of the rotation, as well as the angle (in degree) must be introduced. The resulting coordinates appear in the list [ListCoord?].

- {Recording calibration parameters:}

Once the list of calibration points has been completed, press [APPLY], after selecting the appropriate option in [calib_type]. (see the previous sub-section 7.1). Note that the more advanced Tsai options require a sufficient number of calibration points (typically > 10) spread over the image. Calibration coefficients are recorded in the xml file <code><ImaDoc?> </code> associated with the image currently opened by uvmat. If previous calibration data already exist, the previous xml file is updated, but the original one is preserved with the extension .xml~. If no xml file already exists, it is created. The image transformation to phys coordinates can be directly seen on the uvmat.fig interface after completion of the command [APPLY].

To reproduce the same calibrationn for image series, open one of the image in the series, and apply again the calibration with the same points, or copy-paste the section GeometryCalib? of the xml documentation file with a text editor.

Alternatively the command [REPLICATE] can be used to calibrate a whole set of experiments, using an overview of the data set provided by the GUI dataview.fig.

8.3 Structure of the xml file

The coefficients are recorded in the xml element <code><ImaDoc/GeometryCalib?></code> as follows:

• <CalibrationType?>: type of calibration ('rescale', 'linear', '3D...')

• <fx_fy>: focal length along each coordinate of the image sensor, expressed in pixel interval.

• <Cx_Cy>: position coordinates of the optical axis on the

• <kc>: coefficient of quadratic deformation (=1 for the options calib_lin and calib_rescale)

• <CoordUnit?>: coordinate unit in physical space.

• <Tx_Ty_Tz></code>: translation, (Tz=1 for the options calib_lin and calib_rescale)

• <R>: rotation matrix (in 3 lines). For the option <​CalibrationType>= 'rescale',
  R (i=1)= [pxcmx 0 0] R (i=2)= [0 pxcmy 0] R (i=3)= [0 0 1],
  where pxcmx and pxcmy are the scaling factors along x and y.

• <omc> 3 components of the rotation vector (this is for diagnostic use, it is redondant with the matrix R used for actual coordinate transforms). The physical coordinate axis are transformed to the image coordinate axis by a composition of the translation T and the rotation)

• <ErrorRms?>: rms difference (in X and Y direction) between the image coordinates measured for the calibration points and the coordinates transformed from their physical coordinates (using the function px_XYZ.m in uvmat)

• <ErrorMax?> : maximum difference (in X and Y direction) between the image coordinates measured for the calibration points and the coordinates transformed from their physical coordinates. (using the function px_XYZ.m in uvmat)

• <SourceCalib?> set of the point coordinates used for calibration

• <PointCoord?> [x y z X Y] , where x,y,z are the physical coordinates of each point, X Y its image coordinates

• <NbSlice_i> nbre of slices for the first field index i (multilevel case), =1 by default.

• <NbSlice_j> nbre of slices for the second index j (volume scan), =1 by default.

• <SliceCoord?> [x y z] positions (nb lines) of the nb planes, where nb=NbSlice_i (multilevel case) or nb=NbSlice_j of j indices (volume scan), for parallel volume scan, x=y=0, z= slice height, for angular scan, [x,y,z]=[origin].

• <SliceDZ>  step distance between planes, or

• <SliceDPhi> step angle for angular scan.

9- Masks and grids

9.1 Masks

Mask files are used to restrict the domain of CIV processing, to take into account fluid boundaries or invalid image zones. They must be stored as .png images with 8 bits, as described in [section 3.6->#sec3.6_mask]. Mas files are automatically recognised by uvmat.fig and civ.fig if they are named [filebase '_xxmask_' 'filenumber' '.png'], where xx is the number of masks (nbslices) used when the series of fields corresponds physically to a set of nbslices positions. The mask filenumber used is the image field number modulo nbslices. Use xx=1 in the default case of a fixed position and a single mask. Masks can be made by pressing the menu bar Tools/make mask on the GUI uvmat. The mask is created interactively with the mouse on the current image.

First open an input image file name with the browser, or the edit box and carriadge return. From the image name, a corresponding mask name is proposed in the lower edit box. It should be edited if a series of masks is made, in case of mutipositions (number nbslices) of the laser sheet in a series. The names must be [filebase '_xxmask' 'filenumber' '.png'], where xx is the number of masks (nbslices). The mask filenumber used is the image field number modulo nbslices. The filenumber can be incremented by the NEXT press button.

Holes can be made by the press button mask_hole which allows to draw a polygon on the image (the matlab image processing toolbox is needed). The inside of this polygone is masked.

Press the red push button save_mask which appeared on the lower right. The saved mask is then displayed. A new image can be then entered.

[sec9.2<-]

9.2 Grids

Grid files, see [section 3.6->#sec3.6_grid], are used to impose a set of positions for PIV vectors. To create a grid for PIV, activate the menu bar Tools/Make? grid on the GUI uvmat. Introduce a minimum value, mesh, and maximum value for each coordinate x in the edit boxes XMin, DX, XMax respectively. Do the same for the y coordinate. This must be expressed in physical coordinates.

The grid will be limited to an image , or to the common region of two images, depending whether one or two image names are indicated in the edit boxes image_1 and image_2. Press save to save the corresponding grid file (s). A dialog box appears to edit the name of the output grid file, and a second one in case of two images.

10 - Processing field series

10.1 The GUI series.fig

Operations on field series are controled by the GUI series.fig, which allows the user to set the root name(s) and file indices over which a processing function operates. The GUI can be opened from uvmat through its menu bar option [Run/series]. It then mirrors the settings of uvmat. It can be alternatively opened by typing the Matlab command >>series, then selecting the input file series by the menu bar command [Open].

The root path, subdirectory, root file name and extension are introduced in the different columns of the table [InputTable]. The nomenclature for file indexing is represented in the column [NomType], the index extension for the first file in the series.

Several input file series can be introduced simultaneously by the menu bar command [Open_append], filling the successive lines of InputTable. By contrast, the table of input files is fully refreshed by the browser of the menu bar command [Open]. The cells in the table can be also edited manually. Then press the button [REFRESH] to validate the input.

The processing function is chosen in the menu [ActionName]. The first option check_data_files lists the selected input file series and checks their existence. This is a good first test before starting a processing operation since all actions operate on the same input file series. The option aver_stat calculates a global average on the successive fields, while time_series provides a time series. The option merge_proj is used to project a whole series on a given grid, or to create a file series by concatenation of different fields. These processing functions are described with more details in next sub-sections. The option civ_series gives access to the PIV processsing, see section section 11. Finally any additional function can be called and included in the menu by selecting the option more... . The corresponding path is displayed in ActionPath.

The action function is first activated when it is selected in the menu [ActionName?]. This first activation checks input data and sets the visibility of input GUI uicontrols.

The actual start of the processing is triggered by pressing the button [RUN]. It can be run in local mode, i.e. on the current Matlab session, or as background, by selecting this option in RunMode. In mode background, calculation is performed in a new Matlab session (without graphics) so that the current Matlab session is free for new operations. If a cluster system has been detected, a third option cluster appears in the menu, allowing to dispatch parallel computations on a computer cluster. For the latter option, a compiled version of the action function is useful, to avoid installing Matlab on each node of the cluster. This is achieved by selecting the option .sh in the menu ActionExt. If the compiled version is not yet available, or outdated, the GUI proposes a new compilation of the selected function (launching the function compile.m).

The series of file indices is set in the frame [IndexRange]. Any action is performed from field index [num_first_i] to [num_last_i] with increment [num_incr_i] . If this increment is empty (or not an integer number), operation is performed on all available files between first_i and last_i. In case of double indexing, action is similarly performed from field index [num_first_j] to [num_last_j] with increment [num_incr_j]. Succesive file names are ordered as a matrix {j,i} with the index j varying the fastest. The box num_NbSlice can be introduced to scan the i index modulo NbSlice.

When input files are indexed by pairs i1-i2 or j1-j2, as resulting from PIV, the pair indexing is chosen by the panel [Set Pairs]. The popup menu [mode] provides the choice between 'bursts', 'Di','Dj'. In mode 'bursts' a single j index pair is selected in the menu [ListPairs?]. In mode 'Di' and 'Dj' it selects a given index interval in i or j respectively. Then the first_i and last_i refer to the reference indices. With the option '*-*' in [ListPairs], available pairs are automatically chosen. In case of multiple input lines, the selection from [Set pairs] refers to the line number displayed in [ListView?]. It is transfered to the corresponding line in the table [PairString?].

The velocity type and field are automatioally chosen by default, but can be specified by the menus [VelType] and [FieldName]. In case of multiple input file series, these menus only refer to the first line. Then the menus [!VelType_1] and [!FieldName_1] refer to the second line, consistently with the input for the GUI uvmat.

A transform function can be introduced by the menu [TransformName]. A projection object can be introduced by selecting the check box [CheckObject]. If a projection object has been already created the opened interface set_object.fig will be used. Otherwise a browser appears to open an object file (xml). Similarly the check box [CheckMask] can be used to select a mask option. These different menus only appear if they are needed as input of the currently selected action function.

10.2 check_data_files

Gives the series of files selected for processing and checks their existence. The oldest modified file is indicated, which is useful to detect whether any file in a civ processing is missing (then the oldest file is not updated).

For NetCDF files, the last operation made (civ1, fix1, patch1, civ2, fix2, patch2) is indicated. The details of each NetCDF file can be dispalyed by selecting it with the mouse in the list.

10.3 aver_stat:

This option provides any average over the processed files. If nb_slice is not equal to 1, the average is performed slice by slice, providing nb_slice results. If a projection object is selected (check box [CheckObject]), the field is projected before averaging.

For unstructured coordinates varying for successive fields, the data is linearly interpolated on the coordinates of the first field in the series. It is then advised to project the fields on a regular grid, creating a projection object of type 'plane' with projection mode 'interp_lin' or 'interp_tps'.

With a projection mode 'inside' or 'outside', the global histogram of field variables on the selected region will be obtained.

In the case of two input files series, the field difference will be perfomed like with the interface uvmat.fig. It is not possible to use more than two input series for this funtion.

10.4 time_series

This action provides a time series of the input field. It is advised to use a POINTS projection object, so the series is limited to the selected points.

In the case of two input files series, the field difference will be perfomed like with the interface uvmat.fig. It is not possible to use more than two input series for this funtion.

10.5 merge_proj

This option allows to merge several field series in a single one. This is useful to merge fields obtained with different cameras. Select the different series, activating the check box add. In this case, it is generally useful to first interpolate the fields on a single grid. For that purpose select the check box GetObject?, creating a projection object of type 'plane' with projection mode 'interp'.

Since the different views have their own calibration, it is important to use the option 'phys' (menu menu_coord), and to create the grid in phys coordinates.

10.6 more…

This action calls any user defined function by its name, acting on the series of fields defiend for ACTION. Some examples of usr_defined functions are in the subdirectory {/series}.

-List of available functions:

• sub_background.m: used to removed a mean background to the images. This is useful before CIV processing when some fiked features are visible in the background (when the laser sheet is close to the bottom).
• ima_levels.m
• ima2vol.m produce volume images for 3D3C PIV.

To update (): -uvprofile: calculate the mean velocity profile and Reynolds stress u'v' along a band, averaged over the series of fields. -view_ima3D: provides a perspective view of a 3D image defined by a series of slice 2D images. The isosurfaces of the scalar field are represented. -part_stat: count particles and provides their density and luminosity histogramm Peaklocking errors:(to update )

By selecting the press button 'peaklocking' on the 'plotgraph' interface, you smooth the current velocity histograms while preserving its integral over each unity (in pixels). This appears in red. Then an estimate of the peaklocking error is obtained by comparing the initial histogram to the smooth one.

11 - PIV: Particle Imaging Velocimetry

11.1 Overview

PIV can be performed by selecting the Matlab function civ_series as [ActionName?] in the GUI series. The same operations can be also performed with the older function civ.m running with the specific GUI civ.fig, accessible from uvmat by the menu bar command [RUN/civ]. This older option is still used to run the fortran programs [CIVx].

- {Opening the GUI:} The GUI civ.fig for PIV calculation can be directly opened by the command '>>civ' on the Matlab prompt. Then open an image or a documentation file (.xml ) with the file browser. The GUI civ.fig can be also directly opened from uvmat.fig, by the menu bar command [RUN/civ]. A third way is just to open the Matlab image ({civ.fig} file) stored after each processing in the directory of the velocity fields. Then just edit it and run a new calculation.

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- {Input file name and indexing:} The root name of the input file is displayed in the edit box [RootName?], and a set of indices can be defined by the edit boxes [first_i] (first index), [incr_i] (increment), [last_i ](last index). The GUI offers a wide variety for the choice of image pairs to correlate. In the case of two file indices i and j, a mode for the choice of image pairs can be selected in the popup menu [mode]. -*'pairj1-j2': a given pair of j indices (or subscript a, b c...) can be chosen in the CIV1 menu [list_pair_civ1], while the corresponding indices i are set by [first_i] , [incr_i] , [last_i ]. -*'series(Di)': a sliding set of i index pairs is chosen by a set of {reference} indices i_ref given by [first_i] , [incr_i] , [last_i ] and a pair interval defined in [list_pair_civ1]: the first choice 0|1 corresponds to the sliding pair i_ref|i_ref+1. the second choice -1|1 to the sliding pair i_ref-1|i_ref+1,...This mode is generally used with a single image series or movie, but it can be also used in volume scan, with a second index j chosen by [first_j] , [incr_j] , [last_j ]. -*'series(Dj)': operates like 'series(Di)', but with sliding j index pairs. -*comparing two image series: this is made possible by selecting 'displacement' in the popup menu [compare], which gives access to a browser for selecting the second image series. This second series can be reduced to a single reference image, if it contains no index. The displacement field with respect to this reference image is then obtained for successive times. -*stereo PIV: this option in the menu [compare] provides the three velocity components by comparing the stereoscopic views from two cameras, see [section 10.6->#sec10.6].

- {Succession of operations:}

The CIV process involves a succession of iterative operations: -*civ1: the initial image correlation process. -*fix1: detection of 'false' velocity vectors according to different criteria. -*patch1: interpolation and filtering on a regular grid, providing access to spatial derivatives of the velocity (diverrgence, curl, strain). -* civ2: advanced image correlation algorithm using the result of civ1 as a first approximation. -* fix2 and patch2: similar as fix1 and patch1, but applied to the civ2 results. This series of operations is chosen by selecting the corresponding check boxes on the left, which give access to the corresponding parameter input panels. Note that the result of each of these operations is stored in the output netcdf file, so the process can be split in several runs. When an existing netcdf velocity file is opened, the GUI civ.fig is automaticaly configured to perform the next operation (fix1, patch1, civ2...) needed in the process.

11.2 CIV1:

The image pair is selected in the menu [list_pair_civ1], see sub-section 10.1. The time interval of the image pair must be chosen sufficiently small to provide a good correlation, and sufficiently large to provide good measurment precision: a displacement of 5-10 pixels is generally optimum.

The time interval for each image pair is indicated in [list_pair_civ1] iif the information is made available, either from a movie file, or from a detected xml file (with the name RootName?.xml). The source of the timing information is indicated in the edit box [ImaDoc?]. Examples of xml files are provides in /XML_SCHEMAS/ImaDoc_templates. In the absence of information, the file index is taken for the time. The time interval for a given index pair may change with time, so the time interval display is taken for given reference indices, given by [i_ref] and [j_ref]..

([ibx], [iby]) set the size (in pixels) of the 'correlation box', the sliding window used to get image correlations. [isx],[ isy] set the size of the 'search box' in which image correlation is calculated, see figure. This search box can be shifted with respect to the correlation box by parameters ([shift x],[shift_y]). This is useful in the presence of a known mean flow.

The default value ibx=iby=(25,25) is generally good, use a larger size for images with few particles, use an elongated box , e.g. (11,41) , to optimise the resolution in one direction (for instance in a boundary layer).

A parameter [rho(images)] controls the smoothing of the image corelation curves used in civ, the default value 1 is generally used.

The search parameters (isx, isy,shift x,y) can be estimated using the press button [search range]. First introduce the estimated minimum and maximum values of each velocity component u and v. The result depends on the time interval of the image pair. Change the selected image pair if the maximum displacement (ibsx-ibx)/2 is too small (lack of precision) or too large (bad image correlations and risks of false vectors).

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The grid determines the positions of measured velocity vectors: it sets the central positions of the correlation boxes (in pixels) for the first image. A default regular grid can be set by the meshes [dx] and [dy] (in pixels). Alternatively a custom [grid->#sec3.6_grid] can be stored in a text file and selected by the check box [GET_GRID]. This is convenient to limitate the processing to a subregion or to fine tune the resolution.

A subregion can be alternatively selected by a mask image, selecting the edit box [MASK]. If a mask image with an appropriate name is found in the image directory, it wil be detected, and the indication 'xxmask' appears in the edit box. (xx is the number of slices, equal to 1 for a single mask). Otherwise a browser appears to select a (single) mask file.

Finally thresholds on image intensity can be introduced to suppress underexposed or overexposed parts of the image: select the check box [THRESH], and edit the boxes [MinIma?] and [MaxIma?] which then appear.

The velocity results are stored in the subdirectory set by the edit box [subdir_civ1]. Use the browser [list_subdir_civ1] to check the existing subdirectories.

- {RUN and BATCH:}

The PIV calculation is started by the press button [RUN], or [BATCH] if this option has been installed. BATCH sends the same computations as background computing tasks in a network.

In both cases, the status of the computations can be checked by opening {.cmx } and {.log} files, using the uvmat browser or any text editor. These files are writtent in the same subdirectory as the NetCDF result files. Each {.cmx} file contains the set of parameters used for a civ computation. It is written by the civ interface just before ordering the computations. By contrast , the {.log} file is produced after completion of the computations, and it contains some information on the process, including possible error messages.

11.3 FIX

The FIX operation is used after civ to remove false vectors, using different criteria: - {warning flags:} these are flags (vec_F) indicating problems with the image correlation process: -*vec_F(i)=0 or 1 : default , the processing is fine -*vec_F(i)=-2: the maximum of the correlation function is close to the border of the search box (at a distance of two pixels or less), so that its maximum cannot be reliably obtained: the search domain is too small -*vec_F(i)=2: (only in civ1) we keep the less accurate Hart result (resulting from combining correlation functions from neighborhing points) and vec_C(i)=-1 is chosen by convention. Reference: Hart D. P. (2000) 'PIV error correction',{ Exp. Fluids} 29, 13-22. -*vec_F(i)=3: the optimisation of the correlation function is unstable or local Intensity rms of the image =0 -*vec_F(i)=4:only in civ2: the difference between the estimator and the result is more than 1 pixel. The two criteria, vec_F(i)=-2, and 3, should be selected (default options). The criterium vec_F=2 (Hart) should not be selected, while vec_F=4 (for civ2) could be selected only for excellent data (otherwise it may be too strict). - {Threshold on the image correlation} (vec_C) can be introduced by the edit box [thresh_vecC] (value between 0 and 1). It removes vectors with poor correlation. - {Threshold on the velocity modulus } (expressed in pixels): it can remove either too small values (menu [inf_sup1] set to '<'), or excessive values (menu [inf_sup1] set to '>'). Erratic zero velocity vectors, produced by a fixed image background, can be eliminated by this criterium. These criteria can be as well applied to the difference with a reference field, defined by a file series (edit box [ref_fix1]) and a field inside the file (menu [field_ref1]). - {Mask fix:} It has the same effect as the one used in civ1, but the removed vectors are kept in memory, labelled as false. - {Manual fix:} Interactive fixing with the mouse is also possible, see [section 4.2->#4.2].

- {Code for FixFlag:} -*FixFlag?(i)=0 :default, everything is fine -*FixFlag?(i)=1. : value 1 for the second digit: vector removed by criteria on vec_F or/and low correlation value -*FixFlag?(i)=1..: value 1 for the third digit: vector selected by a criterium of difference with another field, for instance filter, or a field with differnt time interval. -*FixFlag?(i)=...1, 2, 3 different criteria for elimination set by the program Fix of CIVx (not yet documented).

11.4 PATCH

-PATCH1: interpolates the velocity values on a regular grid with a smoothing parameter rho. This also provides the spatial derivatives (vorticity, divergence) needed for the refined processing civ2. The numbers of grid points in x and y are set by nx and ny. The vectors which are too far from the smoothed field (erratic vectors) can be eliminated, using a threshold expressed in pixel displacement. The thin plate spline method must be done by subdomains for computational saving, use the default value 300.

11.5 CIV2

-CIV2: provides a refined calculation of the velocity field, using the civ1 result as previous estimate. The search range is determined by the civ1 field so there is no parameter. Use the option decimal shift to reduce peaklocking effects (advised). The option deformation is useful in the presence of strong shear or vorticity. Then image deformation and rotation is introduced before calculating the correlations. The other parameters (rho, ibx,iby, grid, mask) are used like for civ1 (take the same by default). The image pair for civ2 can be different than the one used in civ1 to get the first estimate. It is generally advised to use a moderate time interval for civ1, to avoid false vectors, and to take a larger intervel for civ2, in order to optimize precision. As civ2 already knows where to look and takes into account image strain and rotation (with the option deformation) it allows for higher time intervals.

-FIX2: like FIX1, except for the different flags vec_F provided by civ2. Use the default options.

-PATCH2: like PATCH1

Further iterations: improvements can be obtained by further iterations of the civ2-fix2-patch2 process. Open again the interface, and consider the previous civ2 result as the prior guess civ1. It will be recopied and relabelled as civ1 in the new NetCDF file produced.

[sec11.6<-] {=== 10.6 Stereoscopic PIV:===}

To obtain the three velocity components in a plane with stereoscopic PIV, use the following procedure:

Install two cameras viewing a common field with angle about 45 ° on each side. A system of titled objective lenses (Sheimpflug) allows to optimize the focus in the whole image.

Make a careful geometric calibration, by taking the images of a grid positioned in the plane of the laser sheet used for particle illumination. Introduce a Tsai calibration with the calibration tool associated with the image acquisition software Acquix. Calibration can be adjusted with the uvmat interface (see calibration).

This calibration model is valid in air or with an interface air-water perpendicular to the line of sight for each camera. Otherwise, the calibration problem is more complex.

Perform usual PIV for each image series:

The images from each camera (camA and camB) must be in the same directory and the PIV results in a single subdirectory. It is advised to do the successive operations including civ2 and fix2. This double series of PIV processing can be done in two steps (keeping the same CIV subdirectory) or simulatenously, using the compare ('-') option. Then the check boxed test_stereo1 and test_stereo2 in the PATCH1 and PATCH2 frames must be unselected.

For PIV near a staigth wall, it is advised to create a grid for each image series, corresponding to a common array of physical positions. This can be done by the pusch button grid in uvmat (bottom right).

Combine PIV fields: this is done by selecting PATCH1 and test_stereo1 (at level civ1), or PATCH2 and test_stereo2 (at level civ2) in the stereo mode (check box compare selected). The resulting fields camA-camB are in physical coordinates. They are final results which cannot be processed for further Civ operations: one must go back to the two image series for that purpose. Note that this stereo combination is only possible in the RUN mode for the moment (no BATCH).

11.7 Description of the velocity files:

The velocity fields obtained by PIV, as well as their spatial derivatives, are stored in the machine independent binary format ['netcdf'->#netcdf]. The file contains constants ('global attributes') and fields ('variables') whose values can be directly accessed by their name.

Several fields, corresponding to the successive operations 'civ1', 'fix1', 'patch1', 'civ2', 'fix2', 'patch2' are stored in the same .nc file. When a third or higher order civ iteration is performed, a new .nc file is created, containing the two last iterations as civ1 and civ2.

-List of constants (global attributes):,

Conventions 'uvmat/civdata'.

tag	content
Conventions	sets the conventions
Program	name of the processing program
CivStage]	stage in the sequence civ1,fix1...
Civ1_ImageA	path and name of input image A
Civ1_ImageB	path and name of input image B
Civ1_Time	mean time for the image pair
Civ1_Dt	time interval for image pair
Civ1_CorrBoxSize	size x,y of the correlation box
Civ1_SearchBoxSize	size x,y of the search box
Civ1_SearchBoxShift	(optional) shift of the search box
Civ1_CorrSmooth	smooth parameter for the image corr
Civ1_Dx,Civ1_Dy	grid mesh along x, y
Civ1_CheckGrid	1 if a grid file is used, default=0
Civ1_CheckMask	1 if a mask file is used, default=0
Civ1_CheckThreshold	0/1 image luminosity threshold used
Civ1_ImageBitDepth	nbre of grey level bits
Civ1_ImageWidth	nbre of pixels along x
Civ1_ImageHeight	nbre of pixels along y
Civ1_FrameIndexA	frame index of image A in the series
Civ1_FrameIndexB	frame index of image B in the series
Patch1_Rho	10
Patch1_Threshold	threshold for the elimination of aberrant vectors
Patch1_SubDomain	estimated nbre of vectors in a subdomain

-List of variables:

Conventions 'uvmat/civdata'.

| tag | content | | Civ1_X| x coordinates| | Civ1_Y| y coordinates| | Civ1_Z| z coordinates (for PIV in volume)| | Civ1_U| x velocity component| | Civ1_V| y velocity component| | Civ1_W| z velocity component (if relevant)| | Civ1_F| warning flag| | Civ1_C| image correlation| | Civ1_FF| error flag| | Civ1_U_smooth| smoothed x velocity component| | Civ1_V_smooth| smoothed y velocity component| | Civ1_W_smooth| smoothed z velocity component| | Civ1_SubRange| sub range bounds| | Civ1_NbSites| nbre of tps sites in each sub-range| | Civ1_Coord_tps| tps coordinates| | Civ1_U_tps| tps weights for x vel component| | Civ1_V_tps| tps weights for y vel component| | Civ1_W_tps| tps weights for z vel component|

-List of constants, old CIVx conventions): -* nb_coord: =2 for PIV in a plane, =3 for PIV in a volume. -* nb_dim: =2 for the usual 2 component PIV, =3 for 3 component PIV (stereoscopic or volume). -* constant_pixcm: =1 for a simple linear calibration provided by the scaling factors pixcmx and pixcmy, =0 otherwise. -* pixcmx: scale pixel/space unit (cm by default) along the x direction (only if constant_pixcm=1). -* pixcmy: scale pixel/space unit (cm by default) along the y direction (only if constant_pixcm=1) -* absolut_time_T0: time elapsed since the time origin of the series (the mean time for the two images of the pair is taken). -* dt: time interval between the two images of the pair. -* absolut_time_T0_2: same as absolute_time_T0 for the fields obtained by the second iteration (civ2), using a possibly different image pair. -* dt2: same as dt for the fields obtained by the second iteration (civ2). -* hart: =1 if the Hart option has been used for processing (see ref.???), =0 otherwise. -* civ: =1 if a civ1 operation has been performed (=0 if the field is not obtained from an image pair) -* fix: =1 if a fix1 operation has been performed, -* patch: =1 if a patch1 operation has been performed. -* civ2: =1 if a civ2 operation has been performed. -* fix2:=1 if a fix2 operation has been performed. -* patch2: =1 if a Patch2 operation has been performed. -* patch_nx: number of grid points in the x direction for the patch field -* patch_ny: number of grid points in the y direction for the patch field -* ro_patch: smoothing coefficient rho used for patch -* patch2_nx: number of grid points in the x direction for the patch2 field -* patch2_ny: number of grid points in the y direction for the patch2 field -* ro2_patch: smoothing coefficient rho used for patch2

-List of field variables (old CIVx conventions): A set of velocity vectors is defined by a 1D array of position coordinates x, y, and z for 3D civ, and a corresponding array for each of the velocity components u, v, and w for 3C civ. The field is therefore defined on an arbitrary set of point, without restriction to a regular mesh. Additional arrays are used to keep track of the quality of the PIV process leading to each vector. The image correlation maximum is represented by vec_C (a real number between 0 and 1). A flag vec_F represents a warning on the vector quality (see the list of values below). Another flag FixFlag? marks false vectors: FixFlag?=0 for good vectors, and FixFlag? is set to a non-zero value when it has been detected as false (using a 'fix' operation).

The names of the fields (variables) resulting from each operation are given in the following table. Each column corresponds to an operation. 'filter1' and 'interp1' both result from the patch1 interpolation on the same points, with and without smoothing respectively. The first line is the name of the constant representing the number of vectors (the dimension of the arrays). The next successive lines indicate the variable names for the position and velocity components, the image correlation 'c', the 'flag' about civ quality and 'fix' flag (only available for civ1 and civ2), and the spatial derivatives obtained from the patch operations.

-*Names of field variables for civ1 and patch1

| | civ1 | interp1 | filter1 | | dim. | nb_vectors | nb_vec_patch | nb_vec_patch | |x |vec_X |vec_patch_X | vec_patch_X | |y | vec_Y | vec_patch_Y | vec_patch_Y | |z | vec_Z | vec_patch_Z | vec_patch_Z | |u |vec_U | vec_patch0_U | vec_patch_U | |v |vec_V |vec_patch0_V | vec_patch_V | |w | vec_W |vec_patch0_W| vec_patch_W | |correlation | vec_C | | | |warning flag | vec_F | | | |false flag | vec_FixFlag | | | |du/dx | |vec_patch0_DUDX |vec_patch_DUDX | |du/dy | |vec_patch0_DUDY |vec_patch_DUDY | |dv/dx | |vec_patch0_DVDX |vec_patch_DVDX | |dv/dy | |vec_patch0_DVDY |vec_patch_DVDY |

-*Names of field variables for civ2 and patch2

| | civ2 | interp2 | filter2 | | dim. | nb_vectors2 | nb_vec2_patch | nb_vec2_patch | |x |vec2_X |vec2_patch_X | vec2_patch_X | |y | vec2_Y | vec2_patch_Y | vec2_patch_Y | |z | vec2_Z | vec2_patch_Z | vec2_patch_Z | |u |vec2_U | vec2_patch0_U | vec2_patch_U | |v |vec2_V |vec2_patch0_V | vec2_patch_V | |w | vec2_W |vec2_patch0_W| vec2_patch_W | |correlation | vec2_C | | | |warning flag | vec2_F | | | |false flag | vec2_FixFlag | | | |du/dx | |vec2_patch0_DUDX |vec2_patch_DUDX | |du/dy | |vec2_patch0_DUDY |vec2_patch_DUDY | |dv/dx | |vec2_patch0_DVDX |vec2_patch_DVDX | |dv/dy | |vec2_patch0_DVDY |vec2_patch_DVDY |

---

12 Tridimensional features:(to update )

12-1 Multilevel image scanning

or multiplane scanning it also describes the set of laser planes. Then the current plane index is indicated by the text box z_index and the total number of planes by the text box nb_slice.

12-2 Volume image scanning

12-3 3D3C PIV

This is performed by the GUI civ_3D.fig. The program requires input volume images .vol. These are images in the png format, where npz slices are concatenated along the y direction, forming a composite image of dimension (npy x npz, npx) from the images (npy x npx). These volume images can be created by the function {ima2vol.m} in {/series}.

13 Editing xml files with the GUI editxml

This GUI editxml.fig visualises and edits xml files. It is automatically called by the browser of uvmat.fig when a file with extension .xml is opened.

When an input file is opened, editxml detects the title key, e.g. <ImaDoc?>, and looks for the corresponding xml schema (e.g. {ImaDoc?.xsd} ). This schema is sought in the directory defined by <SchemaPath?> in the installation file {PARAM.xml} of uvmat. If the schema is found, the hierarchical structure and keys given by the schema are diplayed. Otherwise the keys of the xml file are displayed.

Simple elements in the xml file are listed in the forme 'key'='value', and the corresponding attributes are shown in green. Comments from the schema are dispalyed in blue. Complex elements are indicated by '+'. Selecting them on the list gives access to the lower hierarchical level. Press the arrow [<---] to move back upward in the hierarchy.

Manual editing of element value is possible. Select the element and use the lower edit box. This edit box transforms in a menu when a preselected list of allowed input values has been set by the schema.

Appendix: overview of the package functions

Master GUI

• 'uvmat';...% master function for file scanning and visualisation of 2D fields

Other GUIs(function .m and associated figure .fig)

• 'browse_data';...% function, associated with the GUI 'browse_data.fig' for scanning directories in a project/campaign
• 'civ';... %function associated with the interface 'civ.fig' for PIV and spline interpolation (to be replaced by civ_series in series fcts)
• 'create_grid';...% called by the GUI geometry_calib to create a physical grid
• 'dataview';...% function for scanning directories in a campaign
• 'editxml';...%display and edit xml files using a xls schema
• 'geometry_calib';...%performs geometric calibration from a set of reference points
• 'get_field';...% choose and plot a field from a Netcdf file
• 'msgbox_uvmat';... associated with GUI msgbox_uvmat.fig to display message boxes, for error, warning or input calls
• 'rotate_points';...%'rotate_points': associated with GUI rotate_points.fig to introduce (2D) rotation parameters
• 'series';...% master function for analysis field series, with interface 'series.fig'
• 'set_grid';...% creates a grid for PIV
• 'set_object';...% edit a projection object
• 'translate_points';...% associated with GUI translate_points.fig to display translation parameters
• 'view_field';...% function for visualisation of projected fields'

Functions activated by mouse and keybord in GUI :

• 'keyboard_callback';... % function activated when a key is pressed on the keyboard
• 'mouse_down';% function activated when the mouse button is pressed on a figure (callback for 'WindowButtonDownFcn')
• 'mouse_motion';...% permanently called by mouse motion over a figure (callback for 'WindowButtonMotionFcn')
• 'mouse_up';... % function to be activated when the mouse button is released (callback for 'WindowButtonUpFcn')

Main functions used

• 'civ_matlab';...% civ programs, Matlab version (called by civ.m, option Civprogram/Matlab? in the upper menu bar)
• 'plot_field';...%displays a vector field and/or scalar or images
• 'plot_object';...%draws a projection object (points, line, plane...)
• 'proj_field';...%project a field on a projection object (plane, line,...)
• 'RUN_STLIN';...% combine 2 displacement fields for stereo PIV * 'sub_field';...% combine the two input fields,

convert and I/O functions:

• 'cell2tab';... % transform a Matlab cell in a character array suitable for display in a table
• 'fill_GUI';... % fill a GUI with handles 'handles' from input data Param
• 'imadoc2struct';...% convert the image documentation file ImaDoc into a Matlab structure
• 'nomtype2pair';... creates nomenclature for index pairs knowing the image nomenclature, used by series fct
• 'nc2struct';...% transform a netcdf file in a corresponding matlab structure
• 'num2stra';...% transform number to the corresponding character string depending on the nomenclature.
• 'read_field':...% read the fields from files in different formats (netcdf files, images, video)
• 'read_GUI'::...% read a GUI and provide the data as a Matlab structure
• 'read_image';... read images or video objects
• 'read_multimadoc';... %read a set of Imadoc files and compare their timing of different file series 'read_xls';...%read excel files containing the list of the experiments
• 'stra2num';...% transform letters (a, b, A, B,) or numerical strings ('1','2'..) to the corresponding numbers
• 'struct2nc';...% write fields in netcdf files
• 'struct2xml';... transform a matlab structure to a xml tree.
• 'xml2struct'...% read an xml file as a Matlab structure, converts numeric character strings into numbers

ancillary functions:

• 'activate';...% emulate the mouse selection of a GUI element, for demo
• 'calc_field_interp': defines fields (velocity, vort, div...) from civ data and calculate them for projection with linear interpolation
• 'calc_field_tps': defines fields (velocity, vort, div...) from civ data and calculate them with tps interpolation
• calc_tps': calculate the thin plate spline (tps) coefficients for interpolation
• 'check_files';...% check the path, modification date and svn version for all the function in the toolbox UVMAT.
• 'close_fig';...% function activated when a figure is closed
• 'compile';...% compile a Matlab function, create a binary in a subdirectory /bin
• 'copyfields';...% copy fields between two matlab structures
• 'delete_object';...%delete a projection object, defined by its index in the Uvmat list or by its graphic handle
• 'displ_uvmat';...% display a message using msgbox_uvmat or on the log file in batch mode
• 'fileparts_uvmat': splits a file name in root and indices and recognize file naming convention
• 'filter_tps';...% find the thin plate spline coefficients for interpolation-smoothing
• 'find_field_cells';...% group the variables of a nc-formated Matlab structure into 'fields' with common dimensions
• find_field_cells': test field structure for input in proj_field and plot_field, group the variables into 'fields' with common dimensions
• 'find_file_series';...%check the content of an input file and find the corresponding file series
• 'find_imadoc';...% find the ImaDoc xml file associated with a given input file
• 'fullfile_uvmat';...%creates a file name from a root name and indices.
• 'get_file_series';...% determine the list of file names and file indices for functions called by 'series'.
• 'get_file_type': determine info about a file (image, multimage, civdata,...)
• 'griddata_uvmat';...%make 2D linear interpolation using griddata, with input appropriate for both Matlab 6.5 and 7
• 'hist_update';...% update of a current global histogram by inclusion of a new field
• 'imadoc2struct';...%convert the image documentation file !ImaDoc? into a Matlab structure
• 'interp2_uvmat';...% linearly interpolate an image or scalar defined on a regular grid
• 'ListDir';... scan the structure of the directory tree (for dataview.m)
• 'mask_proj';...% restrict input fields to a mask region, set to 0 outside
• 'peaklock';...%
• 'phys_XYZ';...% transform coordinates from pixels to phys
• 'px_XYZ';...% transform coordiantes from phys to pixels
• 'read_civxdata';...reads civx data from netcdf files
• 'read_civdata';... reads new civ data from netcdf files
• 'read_geometry_calib';... read data on the GUI geometry_calib
• 'read_imatext';...%read .civ files (obsolete, but can be adapted to other text documentation files)
• 'read_xls';...%read excel files containing the list of the experiments
• 'reinit';...% suppress the personal parameter file 'uvmat_perso.mat'
• 'set_col_vec';...% sets the color code for vectors depending on a scalar and input parameters (used for plot_field)
• 'set_subdomains';...% sort a set of points defined by scattered coordinates in subdomains, as needed for tps interpolation
• 'tps_coeff';...% calculate the thin plate spline (tps) coefficients
• 'tps_coeff_field';...% calculate the thin plate spline (tps) coefficients with subdomains for a field structure
• 'tps_eval';... %calculate the thin plate spline (tps) interpolation at a set of points
• 'tps_eval_dxy';...% calculate the derivatives of thin plate spline (tps) interpolation at a set of points (limited to the 2D case)
• 'uigetfile_uvmat';... browser, and display of directories, faster than the Matlab fct uigetfile
• 'update_imadoc';... %update the ImaDoc xml file
• 'update_waitbar';... update the waitbar display, used for ACTION functions in the GUI 'series'

series functions

• 'aver_stat': calculate field average over a time series
• 'avi2png': copy an avi movie to a series of B/W .png images (take the average of green and blue color components)
• 'check_data_files': check the existence, type and status of the files selected by series.fig
• 'ima_levels': rescale the image intensity to reduce strong luminosity peaks (their blinking
• 'civ_input': function associated with the GUI 'civ_input.fig' to set the input parameters for civ_series
• 'civ_series': PIV function activated by the general GUI series (replaces civ)
• 'merge_proj': concatene several fields from series, can project them on a regular grid in phys coordinates
• 'sub_background': subtract a sliding background to an image series
• 'time_series': extract a time series after projection on an object (points , line..)

transform functions

• 'ima_filter': low-pass filter of an image (builtin filtering parameter)
• 'ima_remove_background': removes backgound from an image (using the local minimum)
• 'ima_remove_particles': removes particles from an image (keeping the local minimum)
• 'FFT2_detrend': calculate the 2D spectrum of the input scalar after removing the linear trend (requires the Matlab image processing toolbox).
• 'phys': transforms image (Unit='pixel') to real world (phys) coordinates using geometric calibration parameters. It acts if the input field contains the tag 'CoordUnit' with value 'pixel'
• 'phys_polar': this transforms the fields to polar coordinates, radius in abscissa (same unit as x, y) and azimuth in ordinate (unit =degree).