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