Changes between Version 11 and Version 12 of Tutorial/CorrelationImageVelocimetryOptimisation
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- Jan 28, 2015, 12:06:57 AM (10 years ago)
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Tutorial/CorrelationImageVelocimetryOptimisation
v11 v12 2 2 3 3 = [wiki:Tutorial] / Correlation Image Velocimetry: optimisation of parameters = 4 To improve the results from the previous tutorial, open again in the GUI '''series, '''and enter the file ''frame_1.png'' in ''UVMAT_DEMO01_pair/images. S''elect the ACTION 'civ_series' which opens the new GUI '''civ_input'''''''. You may import existing processing 4 To improve the results from the previous tutorial, open again in the GUI '''series, '''and enter the file ''frame_1.png'' in ''UVMAT_DEMO01_pair/images. S''elect the ACTION 'civ_series' which opens the new GUI '''civ_input'''''''. You may import existing processing parameters by pushing the button [[wiki:ImportParam !ImportParam]] at the top left of the GUI '''civ_input''': open the parameter file ''images.civ/0_XML/frame_1.xml'' in the browser, or fill the GUI by hand as follows. 5 5 6 6 = Time interval = … … 8 8 9 9 == Parameters for Civ1 == 10 Once the image pair has been chosen, the next parameter is the size of the correlation box in both directions ('''[num_!CorrBoxSize]_1]''' and '''_2'''), expressed in pixels. A smaller box of course improves the spatial resolution but it involves less statistics and false vectors may result from holes in the particle seeding. The particles are densely packed in this example, so we can significantly reduce the size from the default value [25,25] to [19,13] (in image pixels). The use of a elongated box along ''x'' allows to optimize the resolution in the direction ''y'', to deal with the transverse shear.10 Once the image pair has been chosen, the next parameter is the size of the correlation box in both directions ('''[num_!CorrBoxSize]_1]''' and '''_2'''), expressed in pixels. A smaller box of course improves the spatial resolution but it involves less statistics and false vectors may result from holes in the particle seeding. The particles are densely packed in this example, so we can significantly reduce the size from the default value [25,25] to [19,13] (in image pixels). The use of a elongated box along ''x'' allows to optimize the resolution in the direction ''y'', to deal with the transverse shear. 11 11 12 The next parameters are ('''[num_!SearchBoxSize_1]''' and '''_2''') and '''[num_SearchBoxShift_1]''', and '''_2''', which determine the box in which the sub-image of the first frame is allowed to move to match the second frame. This can be adjusted from a prior estimate of the extrema of each velocity component (expressed in pixel displacement). Introduce[min, max] =[ -2; 6] for ’u’ and [-3; 3] for ’v’, and press the button '''[Search Range]'''. The optimum search ranges and shifts (for the given correlation box) are now displayed: [33 25] and [2 0] respectively.12 The next parameters are ('''[num_!SearchBoxSize_1]''' and '''_2''') and '''[num_SearchBoxShift_1]''', and '''_2''', which determine the box in which the sub-image of the first frame is allowed to move to match the second frame. This can be adjusted from a prior estimate of the extrema of each velocity component (expressed in pixel displacement). Introduce [min, max] =[ -2; 6] for ’u’ and [-3; 3] for ’v’, and press the button '''[Search Range]'''. The optimum search ranges and shifts (for the given correlation box) are now displayed: [33 25] and [2 0] respectively. 13 13 14 The PIV operation is conveniently visualised by pressing the button '''[!TestCiv1]''' in the GUI '''civ'''. Then the image appears in a new GUI '''view_field''', in which the mouse motion displays the correlation function as a color map in a secondary window. The resulting vector is shown as a line pointing to the correlation maximum. The corresponding correlation and search boxes are shown in the image. 14 The PIV operation is conveniently visualised by pressing the button '''[!TestCiv1]''' in the GUI '''civ'''. Then the image appears in a new GUI '''view_field''', in which the mouse motion displays the correlation function as a color map in a secondary window. The resulting vector is shown as a line pointing to the correlation maximum. The corresponding correlation and search boxes are shown in the image. 15 15 16 Unselect all operations except '''Civ1''' and validate the parameters by pressing '''[OK]'''. Then run 'civ_series' in the GUI '''series '''and look at the result by pressing '''[STATUS]''', and open the .ncresult file.16 Unselect all operations except '''Civ1''' and validate the parameters by pressing '''[OK]'''. Then run 'civ_series' in the GUI '''series '''and look at the result by pressing '''[STATUS]''', and open the ''.nc'' result file. 17 17 18 18 To observe the influence of the search box, come back to the GUI civ_input, set '''[!CorrBoxSize]'''=[19 13] and '''[!SearchBoxSize]'''=[27 25] with '''[Shift]'''=0, and visualise the result with '''uvmat'''. Many black vectors (F=-2) are obtained, showing that the search domain is too small, so that the correlation maximum is constrained by the limited search interval. Using '''[!TestCiv1]''' , it can be seen that the correlation maximum is indeed at the edge of the Search box in the main flow with u$\simeq$4 (while a gap of 2 pixels is required to properly determine the maximum without edge effect). 19 20 of research of the expressed in pixels. For each velocity vector, the correlation box is moved within the search box to optimise the image correlation between the two sub-images inside the correlation box. To allow for a displacement of d pixels, the search box size must exceed the correlation box by at least d+2 on both sides, so 2d+4. A systematic shift can be also introduced to minimise the search area in the presence of a mean flow.21 19 22 20 The parameter '''[num_!CorrSmooth]''' is used to fit the correlation data with a Gaussian function to obtain the maximum with sub-pixel precision. We generally keep the default value 1, while the value 2 should be more appropriate for larger particles (with wider correlation maximum). … … 30 28 31 29 == '''PATCH1''': == 32 Select the ’'''PATCH1'''’ operation, to interpolate the vectors on a regular grid and calculate spatial derivatives. Choose the default value 10 for the smoothing parameter '''[!FieldSmooth]'''. You can later try different values, the smoothing effect increasing with '''[!FieldSmooth]'''. Keep the default values for the other parameters.''''''''''' 30 Select the ’'''PATCH1'''’ operation, to interpolate the vectors and calculate spatial derivatives. First choose the default parameters, press OK, run the caluclation and visualise with uvmat. We observe that a few erratic vectors have been flagged as false (painted in magenta). 31 32 Two fields can be visualised, as selected by the menu '''[!!VelType]''' in the upper part of '''uvmat''': the initial field 'civ1' and the smoothed one 'filter1', obtained by the spline interpolation/smoothing of PATCH1. Select the option 'blank' in the menu''' [! TransformName] '''(on the left side of uvmat), to observe fields as displacement in pixel units (not physical coordinates), which is the appropriate option to analyse PIV features. The difference between the two fields can be directly visualized by selecting 'civ1' in the menu '''[!!VelType]''' and 'filter1' in the menu '''[! VelType_1] '''just below'''.''' Adjust the scale [num_!!VecScale] (value 10 for instance) to better see the difference. Projection on a line (as described in tutorial can be useful to better evaluate the field values on a plot. This is rather small (0.1 px) and erratic, except possibly in the strong shear close to the cylinder''', '''so the smoothing properly reduces the noise without excessive perturbation of the velocity field itself.''' ''' 33 34 Choose the default value 10 for the smoothing parameter '''[!FieldSmooth]'''. You can later try different values, the smoothing effect increasing with '''[!FieldSmooth]'''. Keep the default values for the other parameters.' 33 35 34 36 == '''CIV2:''' ==
