1 | %'sub_background': substract background to an image series, used with series.fig |
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2 | %------------------------------------------------------------------------ |
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3 | % Method: |
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4 | %calculate the background image by sorting the luminosity of each point |
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5 | % over a sliding sub-sequence of 'nbaver_ima' images. |
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6 | % The luminosity value of rank 'rank' is selected as the |
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7 | % 'background'. rank=nbimages/2 gives the median value. Smaller values are appropriate |
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8 | % for a dense set of particles. The extrem value rank=1 gives the true minimum |
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9 | % luminosity, but it can be polluted by noise. |
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10 | % Organization of image indices: |
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11 | % The program is working on a series of images, labelled by two indices i and j, given |
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12 | % by the input matlab vectors num_i1 and num_j1 respectively. In the list, j is the fastest increasing index. |
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13 | % The processing can be done in slices (number nbslice), with bursts of |
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14 | % nbfield2 successive images for a given slice (mode 'multilevel') |
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15 | % In the mode 'volume', nbfield2=1 (1 image at each level) |
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16 | |
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17 | % function GUI_input=sub_background(Param) |
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18 | % |
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19 | %%%%%%%%%%% GENERAL TO ALL SERIES ACTION FCTS %%%%%%%%%%%%%%%%%%%%%%%%%%% |
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20 | %OUTPUT |
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21 | % GUI_input=list of options in the GUI series.fig needed for the function |
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22 | % |
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23 | %INPUT: |
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24 | % In run mode, the input parameters are given as a Matlab structure Param copied from the GUI series. |
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25 | % In batch mode, Param is the name of the corresponding xml file containing the same information |
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26 | % In the absence of input (as activated when the current Action is selected |
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27 | % in series), the function ouput GUI_input set the activation of the needed GUI elements |
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28 | % |
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29 | % Param contains the elements:(use the menu bar command 'export/GUI config' in series to see the current structure Param) |
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30 | % .InputTable: cell of input file names, (several lines for multiple input) |
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31 | % each line decomposed as {RootPath,SubDir,Rootfile,NomType,Extension} |
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32 | % .OutputSubDir: name of the subdirectory for data outputs |
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33 | % .OutputDir: directory for data outputs, including path |
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34 | % .Action: .ActionName: name of the current activated function |
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35 | % .ActionPath: path of the current activated function |
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36 | % .IndexRange: set the file or frame indices on which the action must be performed |
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37 | % .FieldTransform: .TransformName: name of the selected transform function |
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38 | % .TransformPath: path of the selected transform function |
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39 | % .TransformHandle: corresponding function handle |
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40 | % .InputFields: sub structure describing the input fields withfields |
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41 | % .FieldName: name of the field |
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42 | % .VelType: velocity type |
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43 | % .FieldName_1: name of the second field in case of two input series |
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44 | % .VelType_1: velocity type of the second field in case of two input series |
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45 | % .ProjObject: %sub structure describing a projection object (read from ancillary GUI set_object) |
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46 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
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47 | |
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48 | |
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49 | function GUI_input=sub_background (Param) |
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50 | |
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51 | %% set the input elements needed on the GUI series when the action is selected in the menu ActionName |
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52 | if ~exist('Param','var') % case with no input parameter |
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53 | GUI_input={'NbViewMax';1;...% max nbre of input file series (default='' , no limitation) |
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54 | 'AllowInputSort';'off';...% allow alphabetic sorting of the list of input files (options 'off'/'on', 'off' by default) |
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55 | 'NbSlice';'on'; ...%nbre of slices ('off' by default) |
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56 | 'VelType';'off';...% menu for selecting the velocity type (options 'off'/'one'/'two', 'off' by default) |
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57 | 'FieldName';'off';...% menu for selecting the field (s) in the input file(options 'off'/'one'/'two', 'off' by default) |
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58 | 'FieldTransform'; 'off';...%can use a transform function |
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59 | 'ProjObject';'off';...%can use projection object(option 'off'/'on', |
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60 | 'Mask';'off';...%can use mask option (option 'off'/'on', 'off' by default) |
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61 | 'OutputDirExt';'.sbk';...%set the output dir extension |
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62 | ''}; |
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63 | return |
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64 | end |
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65 | |
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66 | %%%%%%%%%%%% STANDARD PART (DO NOT EDIT) %%%%%%%%%%%% |
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67 | %% get input parameters, file names and indices |
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68 | % BATCH case: read the xml file for batch case |
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69 | if ischar(Param) && ~isempty(find(regexp(Param,'.xml$'))) |
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70 | Param=xml2struct(Param); |
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71 | checkrun=0; |
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72 | % RUN case: parameters introduced as the input structure Param |
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73 | else |
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74 | hseries=guidata(Param.hseries);%handles of the GUI series |
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75 | WaitbarPos=get(hseries.waitbar_frame,'Position');%position of the waitbar on the GUI series |
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76 | checkrun=1; % indicate the RUN option is used |
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77 | end |
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78 | % get the set of input file names (cell array filecell), and the lists of |
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79 | % input file or frame indices i1_series,i2_series,j1_series,j2_series |
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80 | [filecell,i1_series,i2_series,j1_series,j2_series]=get_file_series(Param); |
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81 | % filecell{iview,fileindex}: cell array representing the list of file names |
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82 | % iview: line in the table corresponding to a given file series |
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83 | % fileindex: file index within the file series, |
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84 | % i1_series(iview,ref_j,ref_i)... are the corresponding arrays of indices i1,i2,j1,j2, depending on the input line iview and the two reference indices ref_i,ref_j |
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85 | % i1_series(iview,fileindex) expresses the same indices as a 1D array in file indices |
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86 | % set of frame indices used for movie or multimage input |
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87 | if ~isempty(j1_series) |
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88 | frame_index=j1_series; |
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89 | else |
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90 | frame_index=i1_series; |
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91 | end |
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92 | |
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93 | %% root input file(s) and type |
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94 | RootPath=Param.InputTable(:,1); |
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95 | RootFile=Param.InputTable(:,3); |
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96 | SubDir=Param.InputTable(:,2); |
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97 | NomType=Param.InputTable(:,4); |
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98 | FileExt=Param.InputTable(:,5); |
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99 | |
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100 | % numbers of slices and file indices |
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101 | NbSlice=1;%default |
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102 | if isfield(Param.IndexRange,'NbSlice') |
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103 | NbSlice=Param.IndexRange.NbSlice; |
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104 | end |
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105 | nbview=size(i1_series,1);%number of input file series (lines in InputTable) |
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106 | nbfield_j=size(i1_series,2); %nb of consecutive fields at each level(burst |
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107 | nbfield=nbfield_j*size(i1_series,3); %total number of files or frames |
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108 | nbfield_i=floor(nbfield/NbSlice);%total number of i indexes (adjusted to an integer number of slices) |
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109 | nbfield=nbfield_i*nbfield_j; %total number of fields after adjustement |
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110 | |
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111 | %determine the file type on each line from the first input file |
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112 | ImageTypeOptions={'image','multimage','mmreader','video'}; |
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113 | NcTypeOptions={'netcdf','civx','civdata'}; |
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114 | |
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115 | % % for iview=1:nbview |
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116 | % if ~exist(filecell{iview,1}','file') |
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117 | % msgbox_uvmat('ERROR',['the first input file ' filecell{iview,1} ' does not exist']) |
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118 | % return |
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119 | % end |
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120 | % [FileType{iview},FileInfo{iview},Object{iview}]=get_file_type(filecell{iview,1}); |
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121 | % CheckImage{iview}=~isempty(find(strcmp(FileType{iview},ImageTypeOptions)));% =1 for images |
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122 | % CheckNc{iview}=~isempty(find(strcmp(FileType{iview},NcTypeOptions)));% =1 for netcdf files |
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123 | % end |
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124 | |
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125 | [FileType,FileInfo,MovieObject]=get_file_type(filecell{1,1}); |
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126 | CheckImage=~isempty(find(strcmp(FileType,ImageTypeOptions)));% =1 for images |
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127 | |
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128 | %% calibration data and timing: read the ImaDoc files |
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129 | %not relevant here |
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130 | |
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131 | %% check coincidence in time for several input file series |
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132 | %not relevant here |
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133 | |
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134 | %% coordinate transform or other user defined transform |
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135 | %not relevant here |
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136 | |
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137 | %%%%%%%%%%%% END STANDARD PART %%%%%%%%%%%% |
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138 | % EDIT FROM HERE |
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139 | |
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140 | %% check the validity of input file types |
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141 | if CheckImage |
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142 | FileExtOut='.png'; % write result as .png images for image inputs |
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143 | NomTypeOut='_1_1'; |
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144 | else |
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145 | msgbox_uvmat('ERROR',['invalid file type input: ' FileType{1} ' not an image']) |
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146 | return |
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147 | end |
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148 | % |
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149 | % NomTypeOut='_1-2_1';% output file index will indicate the first and last ref index in the series |
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150 | % if NbSlice~=nbfield_j |
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151 | % answer=msgbox_uvmat('INPUT_Y-N',['will not average slice by slice: for so cancel and set NbSlice= ' num2str(nbfield_j)]); |
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152 | % if ~strcmp(answer,'Yes') |
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153 | % return |
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154 | % end |
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155 | % end |
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156 | |
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157 | %% Set field names and velocity types |
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158 | %not relevant here |
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159 | |
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160 | |
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161 | %% Initiate output fields |
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162 | %not relevant here |
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163 | |
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164 | %%% SPECIFIC PART BEGINS HERE |
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165 | NbSlice=Param.IndexRange.NbSlice; %number of slices |
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166 | siz=size(i1_series); |
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167 | 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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168 | j1=[];%default |
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169 | |
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170 | %% apply the image rescaling function 'level' (avoid the blinking effects of bright particles) |
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171 | answer=msgbox_uvmat('INPUT_Y-N','apply image rescaling function levels.m after sub_background'); |
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172 | test_level=isequal(answer,'Yes'); |
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173 | |
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174 | %% adjust the proposed number of images in the sliding average to include an integer number of bursts |
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175 | if siz(3)~=1 |
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176 | nbaver=floor(nbaver_init/siz(2)); % number of bursts used for the sliding background, |
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177 | if isequal(floor(nbaver/2),nbaver) |
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178 | nbaver=nbaver+1;%put the number of burst to an odd number (so the middle burst is defined) |
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179 | end |
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180 | nbaver_init=nbaver*siz(2);%propose by default an integer number of bursts |
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181 | end |
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182 | |
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183 | %% set processing parameters |
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184 | 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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185 | 'the luminosity rank chosen to define the background (0.1=for dense particle seeding, 0.5 (median) for sparse particles'}; |
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186 | dlg_title = ['get (slice by slice) a sliding background and substract to each image, result in subdir ' Param.OutputDir]; |
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187 | num_lines= 3; |
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188 | def = { num2str(nbaver_init);num2str(NbSlice);'No';'0.1'}; |
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189 | answer = inputdlg(prompt,dlg_title,num_lines,def); |
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190 | set(hseries.ParamVal,'String',answer([1 [3:4]])) |
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191 | set(hseries.ParamVal,'Visible','on') |
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192 | |
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193 | nbaver_ima=str2num(answer{1});%number of images for the sliding background |
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194 | nbaver=ceil(nbaver_ima/siz(2));%number of bursts for the sliding background |
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195 | if isequal(floor(nbaver/2),nbaver) |
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196 | nbaver=nbaver+1;%put the number of burst to an odd number (so the middle burst is defined) |
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197 | end |
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198 | step=siz(2);%case of bursts: the sliding background is shifted by one burst |
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199 | vol_test=answer{3}; |
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200 | if isequal(vol_test,'Yes') |
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201 | nbfield2=1;%case of volume: no consecutive series at a given level |
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202 | NbSlice=siz(2);%number of slices |
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203 | else |
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204 | nbfield2=siz(2); %nb of consecutive images at each level(burst) |
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205 | if siz(3)>1 |
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206 | % NbSlice=str2num(answer{2})/(num_i1(1,2)-num_i1(1,1));% number of slices |
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207 | NbSlice=str2num(answer{2})/(i1_series(1,1,2)-i1_series(1,1,1));% number of slices |
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208 | else |
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209 | NbSlice=1; |
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210 | end |
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211 | if ~isequal(floor(NbSlice),NbSlice) |
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212 | msgbox_uvmat('ERROR','the number of slices must be a multiple of the i increment') |
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213 | return |
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214 | end |
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215 | end |
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216 | rank=floor(str2num(answer{4})*nbaver_ima); |
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217 | if rank==0 |
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218 | rank=1;%rank selected in the sorted image series |
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219 | end |
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220 | lengthtot=siz(2)*siz(3); |
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221 | nbfield=floor(lengthtot/(nbfield2*NbSlice));%total number of i indexes (adjusted to an integer number of slices) |
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222 | nbfield_slice=nbfield*nbfield2;% number of fields per slice |
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223 | if nbaver_ima > nbfield*nbfield2 |
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224 | msgbox_uvmat('ERROR','number of images in a slice smaller than the proposed number of images for the sliding average') |
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225 | return |
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226 | end |
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227 | nbfirst=(ceil(nbaver/2))*step; |
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228 | if nbfirst>nbaver_ima |
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229 | nbfirst=ceil(nbaver_ima/2); |
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230 | step=1; |
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231 | nbaver=nbaver_ima; |
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232 | end |
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233 | |
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234 | %% prealocate memory for the sliding background |
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235 | Afirst=read_image(filecell{1,1},FileType{1},MovieObject,i1_series(1,1)); |
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236 | [npy,npx]=size(Afirst); |
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237 | try |
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238 | Ak=zeros(npy,npx,nbaver_ima,'uint16'); %prealocate memory |
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239 | Asort=zeros(npy,npx,nbaver_ima,'uint16'); %prealocate memory |
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240 | catch ME |
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241 | msgbox_uvmat('ERROR',ME.message) |
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242 | return |
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243 | end |
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244 | |
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245 | %% update the xml file |
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246 | SubDirBase=regexprep(Param.InputTable{1,2},'\..*','');%take the root part of SubDir, before the first dot '.' |
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247 | filexml=fullfile(RootPath{1},[SubDirBase '.xml']); |
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248 | if ~exist(filexml,'file') && exist([filebase '.xml'],'file')% xml inside the image directory |
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249 | copyfile([filebase '.xml'],filexml);% copy the .xml file |
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250 | end |
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251 | if exist(filexml,'file') |
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252 | t=xmltree(filexml); |
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253 | %update information on the first image name in the series |
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254 | uid_Heading=find(t,'ImaDoc/Heading'); |
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255 | if isempty(uid_Heading) |
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256 | [t,uid_Heading]=add(t,1,'element','Heading'); |
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257 | end |
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258 | uid_ImageName=find(t,'ImaDoc/Heading/ImageName'); |
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259 | if ~isempty(j1_series{1}) |
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260 | j1=j1_series{1}(1); |
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261 | end |
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262 | ImageName=fullfile_uvmat([dir_images term],'',RootFile{1},'.png',NomType,i1_series(1,1),[],j1); |
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263 | [pth,ImageName]=fileparts(ImageName); |
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264 | ImageName=[ImageName '.png']; |
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265 | if isempty(uid_ImageName) |
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266 | [t,uid_ImageName]=add(t,uid_Heading,'element','ImageName'); |
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267 | end |
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268 | uid_value=children(t,uid_ImageName); |
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269 | if isempty(uid_value) |
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270 | t=add(t,uid_ImageName,'chardata',ImageName);%indicate name of the first image, with ;png extension |
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271 | else |
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272 | t=set(t,uid_value(1),'value',ImageName);%indicate name of the first image, with ;png extension |
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273 | end |
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274 | |
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275 | %add information about image transform |
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276 | [t,new_uid]=add(t,1,'element','ImageTransform'); |
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277 | [t,NameFunction_uid]=add(t,new_uid,'element','NameFunction'); |
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278 | [t]=add(t,NameFunction_uid,'chardata','sub_background'); |
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279 | if test_level |
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280 | [t,NameFunction_uid]=add(t,new_uid,'element','NameFunction'); |
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281 | [t]=add(t,NameFunction_uid,'chardata','levels'); |
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282 | end |
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283 | [t,NbSlice_uid]=add(t,new_uid,'element','NbSlice'); |
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284 | [t]=add(t,new_uid,'chardata',num2str(NbSlice)); |
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285 | [t,NbSlidingImages_uid]=add(t,new_uid,'element','NbSlidingImages'); |
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286 | [t]=add(t,NbSlidingImages_uid,'chardata',num2str(nbaver)); |
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287 | [t,LuminosityRank_uid]=add(t,new_uid,'element','RankBackground'); |
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288 | [t]=add(t,LuminosityRank_uid,'chardata',num2str(rank));% luminosity rank almong the nbaver sliding images |
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289 | save(t,filexml) |
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290 | end |
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291 | %copy the mask |
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292 | % if exist([filebase '_1mask_1'],'file') |
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293 | % copyfile([filebase '_1mask_1'],[filebase_b '_1mask_1']);% copy the mask file |
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294 | % end |
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295 | |
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296 | %MAIN LOOP ON SLICES |
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297 | for islice=1:NbSlice |
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298 | %% select the series of image indices at the level islice |
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299 | for ifield=1:nbfield |
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300 | for iburst=1:nbfield2 |
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301 | indselect(iburst,ifield)=((ifield-1)*NbSlice+(islice-1))*nbfield2+iburst; |
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302 | end |
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303 | end |
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304 | |
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305 | %% read the first series of nbaver_ima images and sort by luminosity at each pixel |
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306 | for ifield = 1:nbaver_ima |
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307 | ifile=indselect(ifield); |
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308 | filename=filecell{1,ifile}; |
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309 | Aread=read_image(filename,FileType,MovieObject,i1_series{1}(ifile)); |
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310 | Ak(:,:,ifield)=Aread; |
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311 | end |
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312 | Asort=sort(Ak,3);%sort the luminosity of images at each point |
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313 | B=Asort(:,:,rank);%background image |
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314 | display( 'first background image will be substracted') |
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315 | for ifield=1:nbfirst |
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316 | Acor=double(Ak(:,:,ifield))-double(B);%substract background to the current image |
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317 | Acor=(Acor>0).*Acor; % put to 0 the negative elements in Acor |
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318 | C=uint16(Acor);% set to integer 16 bits |
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319 | ifile=indselect(ifield); |
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320 | % newname=name_generator(filebase_b,num_i1(ifile),num_j1(ifile),'.png',NomType)% makes the new file name |
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321 | if ~isempty(j1_series{1}) |
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322 | j1=j1_series{1}(ifile); |
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323 | end |
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324 | newname=fullfile_uvmat(RootPath{1},Param.OutputSubDir,RootFile{1},FileExtOut,NomTypeOut,i1_series(1,ifile),[],i_slice,[]); |
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325 | % newname=fullfile_uvmat(RootPath{1},SubdirResult,RootFile{1},'.png',NomType,i1_series{1}(ifile),[],j1); |
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326 | %newname=name_generator(filebase_b,i1_series{1}(ifile),j1_series{1}(ifile),'.png',NomType);% makes the new file name |
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327 | if test_level |
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328 | C=levels(C); |
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329 | imwrite(C,newname,'BitDepth',8); % save the new image |
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330 | else |
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331 | imwrite(C,newname,'BitDepth',16); % save the new image |
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332 | end |
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333 | end |
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334 | |
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335 | %% repeat the operation on a sliding series of nbaver*nbfield2 images |
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336 | display('sliding background image will be substracted') |
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337 | if nbfield_slice > nbaver_ima |
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338 | for ifield = step*ceil(nbaver/2)+1:step:nbfield_slice-step*floor(nbaver/2) |
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339 | if checkrun |
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340 | stopstate=get(hseries.RUN,'BusyAction'); |
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341 | update_waitbar(hseries.waitbar_frame,WaitbarPos,(ifield+(islice-1)*nbfield_slice)/(nbfield_slice*NbSlice)) |
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342 | else |
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343 | stopstate='queue'; |
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344 | end |
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345 | if isequal(stopstate,'queue')% enable STOP command |
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346 | Ak(:,:,1:nbaver_ima-step)=Ak(:,:,1+step:nbaver_ima);% shift the current image series by one burst (step) |
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347 | %incorporate next burst in the current image series |
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348 | for iburst=1:step |
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349 | ifile=indselect(ifield+step*floor(nbaver/2)+iburst-1); |
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350 | filename=fullfile_uvmat(RootPath{1},SubDir,RootFile{1},FileExt,NomType,i1_series(1,ifile),[],j1_series(1,ifile)); |
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351 | %filename=name_generator(filebase,num_i1(ifile),num_j1(ifile),FileExt,NomType); |
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352 | Aread=read_image(filename,FileType,MovieObject,i1_series(1,ifile)); |
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353 | Ak(:,:,nbaver_ima-step+iburst)=Aread; |
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354 | end |
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355 | Asort=sort(Ak,3);%sort the new current image series by luminosity |
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356 | B=Asort(:,:,rank);%current background image |
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357 | for iburst=1:step |
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358 | index=step*floor(nbaver/2)+iburst; |
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359 | Acor=double(Ak(:,:,index))-double(B); |
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360 | Acor=(Acor>0).*Acor; % put to 0 the negative elements in Acor |
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361 | C=uint16(Acor); |
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362 | ifile=indselect(ifield+iburst-1); |
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363 | if ~isempty(j1_series{1}) |
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364 | j1=j1_series{1}(ifile); |
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365 | end |
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366 | newname=fullfile_uvmat(RootPath{1},Param.OutputSubDir,RootFile{1},FileExtOut,NomTypeOut,i1_series(1,1),[],i_slice,[]); |
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367 | % newname=fullfile_uvmat(Param.InputTable{1,1},SubdirResult,Param.InputTable{1,3},'.png',NomType,i1_series{1}(ifile),[],j1); |
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368 | %[newname]=name_generator(filebase_b,num_i1(ifile),num_j1(ifile),'.png',NomType) % makes the new file name |
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369 | if test_level |
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370 | C=levels(C); |
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371 | imwrite(C,newname,'BitDepth',8); % save the new image |
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372 | else |
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373 | imwrite(C,newname,'BitDepth',16); % save the new image |
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374 | end |
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375 | end |
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376 | else |
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377 | return |
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378 | end |
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379 | end |
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380 | end |
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381 | |
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382 | %% substract the background from the last images |
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383 | display('last background image will be substracted') |
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384 | ifield=nbfield_slice-(step*ceil(nbaver/2))+1:nbfield_slice; |
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385 | for ifield=nbfield_slice-(step*floor(nbaver/2))+1:nbfield_slice |
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386 | index=ifield-nbfield_slice+step*(2*floor(nbaver/2)+1); |
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387 | Acor=double(Ak(:,:,index))-double(B); |
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388 | Acor=(Acor>0).*Acor; % put to 0 the negative elements in Acor |
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389 | C=uint16(Acor); |
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390 | ifile=indselect(ifield); |
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391 | if ~isempty(j1_series{1}) |
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392 | j1=j1_series{1}(ifile); |
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393 | end |
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394 | newname=fullfile_uvmat(RootPath{1},Param.OutputSubDir,RootFile{1},FileExtOut,NomTypeOut,i1_series(1,ifile),[],j1); |
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395 | % newname=fullfile_uvmat(Param.InputTable{1,1},SubdirResult,Param.InputTable{1,3},'.png',NomType,i1_series{1}(ifile),[],j1); |
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396 | if test_level |
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397 | C=levels(C); |
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398 | imwrite(C,newname,'BitDepth',8); % save the new image |
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399 | else |
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400 | imwrite(C,newname,'BitDepth',16); % save the new image |
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401 | end |
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402 | end |
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403 | end |
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404 | |
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405 | %finish the waitbar |
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406 | if checkrun |
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407 | update_waitbar(hseries.waitbar,WaitbarPos,1) |
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408 | end |
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409 | |
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410 | %------------------------------------------------------------------------ |
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411 | %--read images and convert them to the uint16 format used for PIV |
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412 | function A=read_image(FileName,FileType,VideoObject,num) |
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413 | %------------------------------------------------------------------------ |
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414 | %num is the view number needed for an avi movie |
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415 | switch FileType |
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416 | case {'video','mmreader'} |
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417 | A=read(VideoObject,num); |
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418 | case 'multimage' |
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419 | A=imread(FileName,num); |
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420 | case 'image' |
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421 | A=imread(FileName); |
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422 | end |
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423 | siz=size(A); |
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424 | if length(siz)==3;%color images |
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425 | A=sum(double(A),3);% take the sum of color components |
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426 | end |
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427 | |
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428 | |
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429 | function C=levels(A) |
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430 | %whos A; |
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431 | B=double(A(:,:,1)); |
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432 | windowsize=round(min(size(B,1),size(B,2))/20); |
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433 | windowsize=floor(windowsize/2)*2+1; |
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434 | ix=1/2-windowsize/2:-1/2+windowsize/2;% |
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435 | %del=np/3; |
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436 | %fct=exp(-(ix/del).^2); |
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437 | fct2=cos(ix/(windowsize-1)/2*pi/2); |
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438 | %Mfiltre=(ones(5,5)/5^2); |
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439 | %Mfiltre=fct2'; |
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440 | Mfiltre=fct2'*fct2; |
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441 | Mfiltre=Mfiltre/(sum(sum(Mfiltre))); |
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442 | |
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443 | C=filter2(Mfiltre,B); |
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444 | C(:,1:windowsize)=C(:,windowsize)*ones(1,windowsize); |
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445 | C(:,end-windowsize+1:end)=C(:,end-windowsize+1)*ones(1,windowsize); |
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446 | C(1:windowsize,:)=ones(windowsize,1)*C(windowsize,:); |
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447 | C(end-windowsize+1:end,:)=ones(windowsize,1)*C(end-windowsize,:); |
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448 | C=tanh(B./(2*C)); |
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449 | [n,c]=hist(reshape(C,1,[]),100); |
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450 | % figure;plot(c,n); |
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451 | |
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452 | [m,i]=max(n); |
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453 | c_max=c(i); |
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454 | [dummy,index]=sort(abs(c-c(i))); |
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455 | n=n(index); |
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456 | c=c(index); |
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457 | i_select = find(cumsum(n)<0.95*sum(n)); |
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458 | if isempty(i_select) |
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459 | i_select = 1:length(c); |
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460 | end |
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461 | c_select=c(i_select); |
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462 | n_select=n(i_select); |
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463 | cmin=min(c_select); |
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464 | cmax=max(c_select); |
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465 | C=(C-cmin)/(cmax-cmin)*256; |
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466 | C=uint8(C); |
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