[169] | 1 | %'sub_background': substract background to an image series, used with series.fig |
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| 2 | %------------------------------------------------------------------------ |
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[374] | 3 | % function GUI_input=sub_background(Param) |
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[169] | 4 | % |
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| 5 | %OUTPUT |
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| 6 | % GUI_input=list of options in the GUI series.fig needed for the function |
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| 7 | % |
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| 8 | %INPUT: |
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| 9 | %num_i1: series of first indices i (given from the series interface as first_i:incr_i:last_i, mode and list_pair_civ) |
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| 10 | %num_i2: series of second indices i (given from the series interface as first_i:incr_i:last_i, mode and list_pair_civ) |
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| 11 | %num_j1: series of first indices j (given from the series interface as first_j:incr_j:last_j, mode and list_pair_civ ) |
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| 12 | %num_j2: series of second indices j (given from the series interface as first_j:incr_j:last_j, mode and list_pair_civ) |
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| 13 | %Series: Matlab structure containing information set by the series interface |
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| 14 | % .RootPath: path to the image series |
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| 15 | % .RootFile: root file name |
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| 16 | % .FileExt: image file extension |
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| 17 | % .NomType: nomenclature type for file indexing |
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| 18 | % .NbSlice: %number of slices defined on the interface |
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[24] | 19 | %---------------------------------------------------------------------- |
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| 20 | % Method: |
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| 21 | %calculate the background image by sorting the luminosity of each point |
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| 22 | % over a sliding sub-sequence of 'nbaver_ima' images. |
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| 23 | % The luminosity value of rank 'rank' is selected as the |
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| 24 | % 'background'. rank=nbimages/2 gives the median value. Smaller values are appropriate |
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| 25 | % for a dense set of particles. The extrem value rank=1 gives the true minimum |
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| 26 | % luminosity, but it can be polluted by noise. |
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| 27 | % Organization of image indices: |
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| 28 | % The program is working on a series of images, labelled by two indices i and j, given |
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| 29 | % by the input matlab vectors num_i1 and num_j1 respectively. In the list, j is the fastest increasing index. |
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| 30 | % The processing can be done in slices (number nbslice), with bursts of |
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| 31 | % nbfield2 successive images for a given slice (mode 'multilevel') |
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[169] | 32 | % In the mode 'volume', nbfield2=1 (1 image at each level) |
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| 33 | % |
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[374] | 34 | function GUI_input=sub_background (Param) |
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[24] | 35 | |
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| 36 | %------------------------------------------------------------------------ |
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| 37 | %requests for the visibility of input windows in the GUI series (activated directly by the selection in the menu ACTION) |
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[374] | 38 | if ~exist('Param','var') |
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[24] | 39 | GUI_input={'RootPath';'on';... |
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| 40 | 'SubDir';'off';... % subdirectory of derived files (PIV fields), ('on' by default) |
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| 41 | 'RootFile';'on';... %root input file name ('on' by default) |
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| 42 | 'FileExt';'on';... %inputf file extension ('on' by default) |
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| 43 | 'NomType';'on';...%type of file indexing ('on' by default) |
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| 44 | 'NbSlice';'on'; ...%nbre of slices ('off' by default) |
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| 45 | %'VelTypeMenu';'on';...% menu for selecting the velocity type (civ1,..)('off' by default) |
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| 46 | %'FieldMenu';'on';...% menu for selecting the velocity field (s) in the input file ('off' by default) |
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| 47 | %'VelTypeMenu_1';'on';...% menu for selecting the velocity type (civ1,..)('off' by default) |
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| 48 | %'FieldMenu_1';'on';...% menu for selecting the velocity field (s) in the input file ('off' by default) |
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| 49 | %'CoordType';...%can use a transform function |
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| 50 | %'GetObject';...;%can use projection object |
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| 51 | %'GetMask';...;%can use mask option |
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[214] | 52 | %'PARAMETER';'NbSliding';... |
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| 53 | %'PARAMETER';'VolumeScan';... |
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| 54 | %'PARAMETER';'RankBrightness';... |
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[24] | 55 | ''}; |
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| 56 | return %exit the function |
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| 57 | end |
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| 58 | |
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[374] | 59 | %% input parameters |
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| 60 | % read the xml file for batch case |
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| 61 | if ischar(Param) && ~isempty(find(regexp('Param','.xml$'))) |
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| 62 | Param=xml2struct(Param); |
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| 63 | else % RUN case: parameters introduced as the input structure Param |
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| 64 | hseries=guidata(Param.hseries);%handles of the GUI series |
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| 65 | WaitbarPos=get(hseries.waitbar_frame,'Position'); |
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| 66 | end |
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[394] | 67 | filebase=fullfile(Param.InputTable{1,1},Param.InputTable{1,3}); |
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| 68 | dir_images=Param.InputTable{1,1}; |
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| 69 | NomType=Param.InputTable{1,4}; |
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| 70 | FileExt=Param.InputTable{1,5}; |
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[374] | 71 | [filecell,i1_series,i2_series,j1_series,j2_series]=get_file_series(Param); |
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| 72 | if size(filecell,1)>1 |
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[394] | 73 | msgbox_uvmat('WARNING','This function uses only the first input image series') |
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[54] | 74 | return |
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[24] | 75 | end |
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[394] | 76 | |
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[374] | 77 | %%% TODO: update with the new conventions%%%%%%%%%%%%%%%%% |
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[214] | 78 | %% determine input image type |
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[54] | 79 | FileType=[];%default |
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| 80 | MovieObject=[]; |
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[394] | 81 | %FileExt=Series.FileExt; |
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[89] | 82 | |
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[54] | 83 | if isequal(lower(FileExt),'.avi') |
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| 84 | hhh=which('mmreader'); |
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| 85 | if ~isequal(hhh,'')&& mmreader.isPlatformSupported() |
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| 86 | MovieObject=mmreader(fullfile(RootPath,[RootFile FileExt])); |
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| 87 | FileType='movie'; |
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| 88 | else |
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| 89 | FileType='avi'; |
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| 90 | end |
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| 91 | elseif isequal(lower(FileExt),'.vol') |
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| 92 | FileType='vol'; |
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[394] | 93 | else |
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| 94 | form=imformats(FileExt(2:end)); |
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| 95 | if ~isempty(form)% if the extension corresponds to an image format recognized by Matlab |
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| 96 | if isequal(NomType,'*'); |
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| 97 | FileType='multimage'; |
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| 98 | else |
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| 99 | FileType='image'; |
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| 100 | end |
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| 101 | end |
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[54] | 102 | end |
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| 103 | if isempty(FileType) |
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| 104 | msgbox_uvmat('ERROR',['invalid file extension ' FileExt ': this function only accepts image or movie input']) |
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| 105 | return |
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| 106 | end |
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| 107 | |
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[394] | 108 | nbslice_i=Param.NbSlice; %number of slices |
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| 109 | siz=size(i1_series{1}); |
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[24] | 110 | nbaver_init=23;%approximate number of images used for the sliding background: to be adjusted later to include an integer number of bursts |
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[394] | 111 | j1=[];%default |
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[24] | 112 | |
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[214] | 113 | %% apply the image rescaling function 'level' (avoid the blinking effects of bright particles) |
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| 114 | answer=msgbox_uvmat('INPUT_Y-N','apply image rescaling function levels.m after sub_background'); |
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| 115 | test_level=isequal(answer,'Yes'); |
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| 116 | |
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| 117 | %% adjust the proposed number of images in the sliding average to include an integer number of bursts |
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[24] | 118 | if siz(2)~=1 |
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[394] | 119 | nbaver=floor(nbaver_init/siz(1)); % number of bursts used for the sliding background, |
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[24] | 120 | if isequal(floor(nbaver/2),nbaver) |
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| 121 | nbaver=nbaver+1;%put the number of burst to an odd number (so the middle burst is defined) |
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| 122 | end |
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| 123 | nbaver_init=nbaver*siz(1);%propose by default an integer number of bursts |
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| 124 | end |
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| 125 | |
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[214] | 126 | %% create dir of the new images |
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| 127 | % [dir_images,namebase]=fileparts(filebase); |
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| 128 | if test_level |
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| 129 | term='_b_levels'; |
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| 130 | else |
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| 131 | term='_b'; |
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| 132 | end |
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[394] | 133 | [pp,subdir_ima]=fileparts(Param.InputTable{1,1}); |
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[214] | 134 | try |
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| 135 | mkdir([dir_images term]); |
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[239] | 136 | catch ME |
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[394] | 137 | msgbox_uvmat('ERROR',ME.message); |
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| 138 | return |
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[214] | 139 | end |
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| 140 | [xx,msg2] = fileattrib([dir_images term],'+w','g'); %yield writing access (+w) to user group (g) |
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[128] | 141 | if ~strcmp(msg2,'') |
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[214] | 142 | msgbox_uvmat('ERROR',['pb of permission for ' subdir_ima term ': ' msg2])%error message for directory creation |
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[128] | 143 | return |
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| 144 | end |
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[394] | 145 | filebase_b=fullfile([dir_images term],Param.InputTable{1,3}); |
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[24] | 146 | |
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[214] | 147 | %% set processing parameters |
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[239] | 148 | prompt = {'Number of images for the sliding background (MUST FIT IN COMPUETER MEMORY)';'The number of positions (laser slices)';'volume scan mode (Yes/No)';... |
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[394] | 149 | 'the luminosity rank chosen to define the background (0.1=for dense particle seeding, 0.5 (median) for sparse particles'}; |
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[214] | 150 | dlg_title = ['get (slice by slice) a sliding background and substract to each image, result in subdir ' subdir_ima term]; |
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[24] | 151 | num_lines= 3; |
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| 152 | def = { num2str(nbaver_init);num2str(nbslice_i);'No';'0.1'}; |
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| 153 | answer = inputdlg(prompt,dlg_title,num_lines,def); |
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| 154 | set(hseries.ParamVal,'String',answer([1 [3:4]])) |
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| 155 | set(hseries.ParamVal,'Visible','on') |
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| 156 | |
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| 157 | nbaver_ima=str2num(answer{1});%number of images for the sliding background |
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[214] | 158 | nbaver=ceil(nbaver_ima/siz(1));%number of bursts for the sliding background |
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[24] | 159 | if isequal(floor(nbaver/2),nbaver) |
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[394] | 160 | nbaver=nbaver+1;%put the number of burst to an odd number (so the middle burst is defined) |
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[24] | 161 | end |
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[394] | 162 | step=siz(1);%case of bursts: the sliding background is shifted by one burst |
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[24] | 163 | vol_test=answer{3}; |
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| 164 | if isequal(vol_test,'Yes') |
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| 165 | nbfield2=1;%case of volume: no consecutive series at a given level |
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[394] | 166 | nbslice_i=siz(1);%number of slices |
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[24] | 167 | else |
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| 168 | nbfield2=siz(1); %nb of consecutive images at each level(burst) |
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| 169 | if siz(2)>1 |
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[394] | 170 | % nbslice_i=str2num(answer{2})/(num_i1(1,2)-num_i1(1,1));% number of slices |
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| 171 | nbslice_i=str2num(answer{2})/(i1_series{1}(1,2)-i1_series{1}(1,1));% number of slices |
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[24] | 172 | else |
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| 173 | nbslice_i=1; |
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| 174 | end |
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| 175 | if ~isequal(floor(nbslice_i),nbslice_i) |
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[38] | 176 | msgbox_uvmat('ERROR','the number of slices must be a multiple of the i increment') |
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[24] | 177 | return |
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| 178 | end |
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| 179 | end |
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| 180 | rank=floor(str2num(answer{4})*nbaver_ima); |
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| 181 | if rank==0 |
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| 182 | rank=1;%rank selected in the sorted image series |
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| 183 | end |
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| 184 | lengthtot=siz(1)*siz(2); |
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| 185 | nbfield=floor(lengthtot/(nbfield2*nbslice_i));%total number of i indexes (adjusted to an integer number of slices) |
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| 186 | nbfield_slice=nbfield*nbfield2;% number of fields per slice |
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| 187 | if nbaver_ima > nbfield*nbfield2 |
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[239] | 188 | msgbox_uvmat('ERROR','number of images in a slice smaller than the proposed number of images for the sliding average') |
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[24] | 189 | return |
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| 190 | end |
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| 191 | nbfirst=(ceil(nbaver/2))*step; |
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| 192 | if nbfirst>nbaver_ima |
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[214] | 193 | nbfirst=ceil(nbaver_ima/2); |
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[24] | 194 | step=1; |
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| 195 | nbaver=nbaver_ima; |
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| 196 | end |
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| 197 | |
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[239] | 198 | %% prealocate memory for the sliding background |
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[394] | 199 | % first_image=name_generator(filebase,num_i1(1),num_j1(1),FileExt,NomType); |
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| 200 | % Afirst=read_image(first_image,FileType,num_i1(1),MovieObject); |
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| 201 | Afirst=read_image(filecell{1,1},FileType,i1_series{1}(1),MovieObject); |
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[239] | 202 | [npy,npx]=size(Afirst); |
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[394] | 203 | try |
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| 204 | Ak=zeros(npy,npx,nbaver_ima,'uint16'); %prealocate memory |
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| 205 | Asort=zeros(npy,npx,nbaver_ima,'uint16'); %prealocate memory |
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[239] | 206 | catch ME |
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| 207 | msgbox_uvmat('ERROR',ME.message) |
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| 208 | return |
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| 209 | end |
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| 210 | |
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[214] | 211 | %% copy the xml file |
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[24] | 212 | if exist([filebase '.xml'],'file') |
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| 213 | copyfile([filebase '.xml'],[filebase_b '.xml']);% copy the .civ file |
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| 214 | t=xmltree([filebase_b '.xml']); |
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| 215 | |
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| 216 | %update information on the first image name in the series |
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| 217 | uid_Heading=find(t,'ImaDoc/Heading'); |
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| 218 | if isempty(uid_Heading) |
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| 219 | [t,uid_Heading]=add(t,1,'element','Heading'); |
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[394] | 220 | end |
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[24] | 221 | uid_ImageName=find(t,'ImaDoc/Heading/ImageName'); |
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[394] | 222 | if ~isempty(j1_series{1}) |
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| 223 | j1=j1_series{1}(1); |
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| 224 | end |
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| 225 | ImageName=fullfile_uvmat([dir_images term],'',Param.InputTable{1,3},'.png',NomType,i1_series{1}(1),[],j1); |
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| 226 | % ImageName=name_generator(filebase_b,num_i1(1),num_j1(1),'.png',NomType); |
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[24] | 227 | [pth,ImageName]=fileparts(ImageName); |
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[239] | 228 | ImageName=[ImageName '.png']; |
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[24] | 229 | if isempty(uid_ImageName) |
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[394] | 230 | [t,uid_ImageName]=add(t,uid_Heading,'element','ImageName'); |
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[24] | 231 | end |
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| 232 | uid_value=children(t,uid_ImageName); |
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| 233 | if isempty(uid_value) |
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[239] | 234 | t=add(t,uid_ImageName,'chardata',ImageName);%indicate name of the first image, with ;png extension |
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[24] | 235 | else |
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[239] | 236 | t=set(t,uid_value(1),'value',ImageName);%indicate name of the first image, with ;png extension |
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[394] | 237 | end |
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| 238 | |
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[24] | 239 | %add information about image transform |
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| 240 | [t,new_uid]=add(t,1,'element','ImageTransform'); |
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| 241 | [t,NameFunction_uid]=add(t,new_uid,'element','NameFunction'); |
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[394] | 242 | [t]=add(t,NameFunction_uid,'chardata','sub_background'); |
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[217] | 243 | if test_level |
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[394] | 244 | [t,NameFunction_uid]=add(t,new_uid,'element','NameFunction'); |
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| 245 | [t]=add(t,NameFunction_uid,'chardata','levels'); |
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[214] | 246 | end |
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[24] | 247 | [t,NbSlice_uid]=add(t,new_uid,'element','NbSlice'); |
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| 248 | [t]=add(t,new_uid,'chardata',num2str(nbslice_i)); |
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| 249 | [t,NbSlidingImages_uid]=add(t,new_uid,'element','NbSlidingImages'); |
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| 250 | [t]=add(t,NbSlidingImages_uid,'chardata',num2str(nbaver)); |
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| 251 | [t,LuminosityRank_uid]=add(t,new_uid,'element','RankBackground'); |
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[394] | 252 | [t]=add(t,LuminosityRank_uid,'chardata',num2str(rank));% luminosity rank almong the nbaver sliding images |
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[24] | 253 | save(t,[filebase_b '.xml']) |
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| 254 | elseif exist([filebase '.civ'],'file') |
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| 255 | copyfile([filebase '.civ'],[filebase_b '.civ']);% copy the .civ file |
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| 256 | end |
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| 257 | %copy the mask |
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| 258 | if exist([filebase '_1mask_1'],'file') |
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[394] | 259 | copyfile([filebase '_1mask_1'],[filebase_b '_1mask_1']);% copy the mask file |
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[24] | 260 | end |
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| 261 | |
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| 262 | %MAIN LOOP ON SLICES |
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[239] | 263 | |
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[24] | 264 | for islice=1:nbslice_i |
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[214] | 265 | %% select the series of image indices at the level islice |
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[24] | 266 | for ifield=1:nbfield |
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| 267 | for iburst=1:nbfield2 |
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| 268 | indselect(iburst,ifield)=((ifield-1)*nbslice_i+(islice-1))*nbfield2+iburst; |
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| 269 | end |
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[394] | 270 | end |
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[214] | 271 | |
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| 272 | %% read the first series of nbaver_ima images and sort by luminosity at each pixel |
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[24] | 273 | for ifield = 1:nbaver_ima |
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[54] | 274 | ifile=indselect(ifield); |
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[394] | 275 | filename=filecell{1,ifile}; |
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| 276 | % filename=name_generator(filebase,num_i1(ifile),num_j1(ifile),FileExt,NomType); |
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| 277 | Aread=read_image(filename,FileType,i1_series{1}(ifile),MovieObject); |
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| 278 | Ak(:,:,ifield)=Aread; |
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[24] | 279 | end |
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| 280 | Asort=sort(Ak,3);%sort the luminosity of images at each point |
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| 281 | B=Asort(:,:,rank);%background image |
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[394] | 282 | display( 'first background image will be substracted') |
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[24] | 283 | for ifield=1:nbfirst |
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[394] | 284 | Acor=double(Ak(:,:,ifield))-double(B);%substract background to the current image |
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| 285 | Acor=(Acor>0).*Acor; % put to 0 the negative elements in Acor |
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| 286 | C=uint16(Acor);% set to integer 16 bits |
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| 287 | ifile=indselect(ifield); |
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| 288 | % newname=name_generator(filebase_b,num_i1(ifile),num_j1(ifile),'.png',NomType)% makes the new file name |
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| 289 | if ~isempty(j1_series{1}) |
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| 290 | j1=j1_series{1}(ifile); |
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| 291 | end |
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| 292 | newname=fullfile_uvmat([dir_images term],'',Param.InputTable{1,3},'.png',NomType,i1_series{1}(ifile),[],j1); |
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| 293 | %newname=name_generator(filebase_b,i1_series{1}(ifile),j1_series{1}(ifile),'.png',NomType);% makes the new file name |
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| 294 | if test_level |
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| 295 | C=levels(C); |
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| 296 | imwrite(C,newname,'BitDepth',8); % save the new image |
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| 297 | else |
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| 298 | imwrite(C,newname,'BitDepth',16); % save the new image |
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| 299 | end |
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[24] | 300 | end |
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[214] | 301 | |
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| 302 | %% repeat the operation on a sliding series of nbaver*nbfield2 images |
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| 303 | display('sliding background image will be substracted') |
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[24] | 304 | if nbfield_slice > nbaver_ima |
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| 305 | for ifield = step*ceil(nbaver/2)+1:step:nbfield_slice-step*floor(nbaver/2) |
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| 306 | stopstate=get(hseries.RUN,'BusyAction'); |
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| 307 | if isequal(stopstate,'queue')% enable STOP command |
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| 308 | update_waitbar(hseries.waitbar,WaitbarPos,(ifield+(islice-1)*nbfield_slice)/(nbfield_slice*nbslice_i)) |
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[240] | 309 | display((ifield+(islice-1)*nbfield_slice)/(nbfield_slice*nbslice_i)) |
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| 310 | Ak(:,:,1:nbaver_ima-step)=Ak(:,:,1+step:nbaver_ima);% shift the current image series by one burst (step) |
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[24] | 311 | %incorporate next burst in the current image series |
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| 312 | for iburst=1:step |
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| 313 | ifile=indselect(ifield+step*floor(nbaver/2)+iburst-1); |
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[394] | 314 | filename=name_generator(filebase,num_i1(ifile),num_j1(ifile),FileExt,NomType); |
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[89] | 315 | Aread=read_image(filename,FileType,num_i1(ifile),MovieObject); |
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[24] | 316 | Ak(:,:,nbaver_ima-step+iburst)=Aread; |
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| 317 | end |
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| 318 | Asort=sort(Ak,3);%sort the new current image series by luminosity |
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| 319 | B=Asort(:,:,rank);%current background image |
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| 320 | for iburst=1:step |
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| 321 | index=step*floor(nbaver/2)+iburst; |
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| 322 | Acor=double(Ak(:,:,index))-double(B); |
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| 323 | Acor=(Acor>0).*Acor; % put to 0 the negative elements in Acor |
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| 324 | C=uint16(Acor); |
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| 325 | ifile=indselect(ifield+iburst-1); |
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[394] | 326 | if ~isempty(j1_series{1}) |
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| 327 | j1=j1_series{1}(ifile); |
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| 328 | end |
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| 329 | newname=fullfile_uvmat([dir_images term],'',Param.InputTable{1,3},'.png',NomType,i1_series{1}(ifile),[],j1); |
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| 330 | %[newname]=name_generator(filebase_b,num_i1(ifile),num_j1(ifile),'.png',NomType) % makes the new file name |
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[214] | 331 | if test_level |
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| 332 | C=levels(C); |
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| 333 | imwrite(C,newname,'BitDepth',8); % save the new image |
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| 334 | else |
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| 335 | imwrite(C,newname,'BitDepth',16); % save the new image |
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| 336 | end |
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| 337 | end |
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[24] | 338 | else |
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| 339 | return |
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| 340 | end |
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| 341 | end |
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| 342 | end |
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[394] | 343 | |
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| 344 | %% substract the background from the last images |
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[214] | 345 | display('last background image will be substracted') |
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[394] | 346 | ifield=nbfield_slice-(step*ceil(nbaver/2))+1:nbfield_slice; |
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| 347 | for ifield=nbfield_slice-(step*floor(nbaver/2))+1:nbfield_slice |
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| 348 | index=ifield-nbfield_slice+step*(2*floor(nbaver/2)+1); |
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| 349 | Acor=double(Ak(:,:,index))-double(B); |
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| 350 | Acor=(Acor>0).*Acor; % put to 0 the negative elements in Acor |
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| 351 | C=uint16(Acor); |
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| 352 | ifile=indselect(ifield); |
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| 353 | if ~isempty(j1_series{1}) |
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| 354 | j1=j1_series{1}(ifile); |
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| 355 | end |
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| 356 | newname=fullfile_uvmat([dir_images term],'',Param.InputTable{1,3},'.png',NomType,i1_series{1}(ifile),[],j1); |
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| 357 | %newname=name_generator(filebase_b,num_i1(ifile),num_j1(ifile),'.png',NomType);% makes the new file name |
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| 358 | if test_level |
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| 359 | C=levels(C); |
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| 360 | imwrite(C,newname,'BitDepth',8); % save the new image |
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| 361 | else |
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| 362 | imwrite(C,newname,'BitDepth',16); % save the new image |
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| 363 | end |
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| 364 | end |
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[24] | 365 | end |
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| 366 | |
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| 367 | %finish the waitbar |
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| 368 | update_waitbar(hseries.waitbar,WaitbarPos,1) |
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| 369 | |
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| 370 | |
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[54] | 371 | %------------------------------------------------------------------------ |
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| 372 | %--read images and convert them to the uint16 format used for PIV |
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[89] | 373 | function A=read_image(filename,type_ima,num,MovieObject) |
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[54] | 374 | %------------------------------------------------------------------------ |
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| 375 | %num is the view number needed for an avi movie |
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| 376 | switch type_ima |
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| 377 | case 'movie' |
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[89] | 378 | A=read(MovieObject,num); |
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[54] | 379 | case 'avi' |
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| 380 | mov=aviread(filename,num); |
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| 381 | A=frame2im(mov(1)); |
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| 382 | case 'multimage' |
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| 383 | A=imread(filename,num); |
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| 384 | case 'image' |
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| 385 | A=imread(filename); |
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| 386 | end |
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| 387 | siz=size(A); |
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| 388 | if length(siz)==3;%color images |
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| 389 | A=sum(double(A),3); |
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| 390 | end |
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[24] | 391 | |
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[214] | 392 | |
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| 393 | function C=levels(A) |
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| 394 | %whos A; |
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| 395 | B=double(A(:,:,1)); |
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| 396 | windowsize=round(min(size(B,1),size(B,2))/20); |
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| 397 | windowsize=floor(windowsize/2)*2+1; |
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[239] | 398 | ix=1/2-windowsize/2:-1/2+windowsize/2;% |
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[214] | 399 | %del=np/3; |
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| 400 | %fct=exp(-(ix/del).^2); |
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| 401 | fct2=cos(ix/(windowsize-1)/2*pi/2); |
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| 402 | %Mfiltre=(ones(5,5)/5^2); |
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| 403 | %Mfiltre=fct2'; |
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| 404 | Mfiltre=fct2'*fct2; |
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| 405 | Mfiltre=Mfiltre/(sum(sum(Mfiltre))); |
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| 406 | |
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| 407 | C=filter2(Mfiltre,B); |
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| 408 | C(:,1:windowsize)=C(:,windowsize)*ones(1,windowsize); |
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| 409 | C(:,end-windowsize+1:end)=C(:,end-windowsize+1)*ones(1,windowsize); |
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| 410 | C(1:windowsize,:)=ones(windowsize,1)*C(windowsize,:); |
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| 411 | C(end-windowsize+1:end,:)=ones(windowsize,1)*C(end-windowsize,:); |
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| 412 | C=tanh(B./(2*C)); |
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| 413 | [n,c]=hist(reshape(C,1,[]),100); |
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| 414 | % figure;plot(c,n); |
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| 415 | |
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| 416 | [m,i]=max(n); |
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| 417 | c_max=c(i); |
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| 418 | [dummy,index]=sort(abs(c-c(i))); |
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| 419 | n=n(index); |
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| 420 | c=c(index); |
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| 421 | i_select = find(cumsum(n)<0.95*sum(n)); |
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| 422 | if isempty(i_select) |
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| 423 | i_select = 1:length(c); |
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| 424 | end |
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| 425 | c_select=c(i_select); |
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| 426 | n_select=n(i_select); |
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| 427 | cmin=min(c_select); |
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| 428 | cmax=max(c_select); |
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| 429 | C=(C-cmin)/(cmax-cmin)*256; |
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| 430 | C=uint8(C); |
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