%'sub_background': substract background to an image series, used with series.fig %------------------------------------------------------------------------ % Method: %calculate the background image by sorting the luminosity of each point % over a sliding sub-sequence of 'nbaver_ima' images. % The luminosity value of rank 'rank' is selected as the % 'background'. rank=nbimages/2 gives the median value. Smaller values are appropriate % for a dense set of particles. The extrem value rank=1 gives the true minimum % luminosity, but it can be polluted by noise. % Organization of image indices: % The program is working on a series of images, labelled by two indices i and j, given % by the input matlab vectors num_i1 and num_j1 respectively. In the list, j is the fastest increasing index. % The processing can be done in slices (number nbslice), with bursts of % nbfield2 successive images for a given slice (mode 'multilevel') % In the mode 'volume', nbfield2=1 (1 image at each level) % function GUI_input=sub_background(Param) % %%%%%%%%%%% GENERAL TO ALL SERIES ACTION FCTS %%%%%%%%%%%%%%%%%%%%%%%%%%% %OUTPUT % GUI_input=list of options in the GUI series.fig needed for the function % %INPUT: % In run mode, the input parameters are given as a Matlab structure Param copied from the GUI series. % In batch mode, Param is the name of the corresponding xml file containing the same information % In the absence of input (as activated when the current Action is selected % in series), the function ouput GUI_input set the activation of the needed GUI elements % % Param contains the elements:(use the menu bar command 'export/GUI config' in series to see the current structure Param) % .InputTable: cell of input file names, (several lines for multiple input) % each line decomposed as {RootPath,SubDir,Rootfile,NomType,Extension} % .OutputSubDir: name of the subdirectory for data outputs % .OutputDir: directory for data outputs, including path % .Action: .ActionName: name of the current activated function % .ActionPath: path of the current activated function % .IndexRange: set the file or frame indices on which the action must be performed % .FieldTransform: .TransformName: name of the selected transform function % .TransformPath: path of the selected transform function % .TransformHandle: corresponding function handle % .InputFields: sub structure describing the input fields withfields % .FieldName: name of the field % .VelType: velocity type % .FieldName_1: name of the second field in case of two input series % .VelType_1: velocity type of the second field in case of two input series % .ProjObject: %sub structure describing a projection object (read from ancillary GUI set_object) %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% function GUI_input=sub_background (Param) %% set the input elements needed on the GUI series when the action is selected in the menu ActionName if ~exist('Param','var') % case with no input parameter GUI_input={'NbViewMax';1;...% max nbre of input file series (default='' , no limitation) 'AllowInputSort';'off';...% allow alphabetic sorting of the list of input files (options 'off'/'on', 'off' by default) 'NbSlice';'on'; ...%nbre of slices ('off' by default) 'VelType';'off';...% menu for selecting the velocity type (options 'off'/'one'/'two', 'off' by default) 'FieldName';'off';...% menu for selecting the field (s) in the input file(options 'off'/'one'/'two', 'off' by default) 'FieldTransform'; 'off';...%can use a transform function 'ProjObject';'off';...%can use projection object(option 'off'/'on', 'Mask';'off';...%can use mask option (option 'off'/'on', 'off' by default) 'OutputDirExt';'.sbk';...%set the output dir extension ''}; return end %%%%%%%%%%%% STANDARD PART (DO NOT EDIT) %%%%%%%%%%%% %% get input parameters, file names and indices % BATCH case: read the xml file for batch case if ischar(Param) && ~isempty(find(regexp(Param,'.xml$'))) Param=xml2struct(Param); checkrun=0; % RUN case: parameters introduced as the input structure Param else hseries=guidata(Param.hseries);%handles of the GUI series WaitbarPos=get(hseries.waitbar_frame,'Position');%position of the waitbar on the GUI series checkrun=1; % indicate the RUN option is used end % get the set of input file names (cell array filecell), and the lists of % input file or frame indices i1_series,i2_series,j1_series,j2_series [filecell,i1_series,i2_series,j1_series,j2_series]=get_file_series(Param); % filecell{iview,fileindex}: cell array representing the list of file names % iview: line in the table corresponding to a given file series % fileindex: file index within the file series, % 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 % i1_series(iview,fileindex) expresses the same indices as a 1D array in file indices % set of frame indices used for movie or multimage input if ~isempty(j1_series) frame_index=j1_series; else frame_index=i1_series; end %% root input file(s) and type RootPath=Param.InputTable(:,1); RootFile=Param.InputTable(:,3); SubDir=Param.InputTable(:,2); NomType=Param.InputTable(:,4); FileExt=Param.InputTable(:,5); % numbers of slices and file indices NbSlice=1;%default if isfield(Param.IndexRange,'NbSlice') NbSlice=Param.IndexRange.NbSlice; end nbview=size(i1_series,1);%number of input file series (lines in InputTable) nbfield_j=size(i1_series,2); %nb of consecutive fields at each level(burst nbfield=nbfield_j*size(i1_series,3); %total number of files or frames nbfield_i=floor(nbfield/NbSlice);%total number of i indexes (adjusted to an integer number of slices) nbfield=nbfield_i*nbfield_j; %total number of fields after adjustement %determine the file type on each line from the first input file ImageTypeOptions={'image','multimage','mmreader','video'}; NcTypeOptions={'netcdf','civx','civdata'}; % % for iview=1:nbview % if ~exist(filecell{iview,1}','file') % msgbox_uvmat('ERROR',['the first input file ' filecell{iview,1} ' does not exist']) % return % end % [FileType{iview},FileInfo{iview},Object{iview}]=get_file_type(filecell{iview,1}); % CheckImage{iview}=~isempty(find(strcmp(FileType{iview},ImageTypeOptions)));% =1 for images % CheckNc{iview}=~isempty(find(strcmp(FileType{iview},NcTypeOptions)));% =1 for netcdf files % end [FileType,FileInfo,MovieObject]=get_file_type(filecell{1,1}); CheckImage=~isempty(find(strcmp(FileType,ImageTypeOptions)));% =1 for images %% calibration data and timing: read the ImaDoc files %not relevant here %% check coincidence in time for several input file series %not relevant here %% coordinate transform or other user defined transform %not relevant here %%%%%%%%%%%% END STANDARD PART %%%%%%%%%%%% % EDIT FROM HERE %% check the validity of input file types if CheckImage FileExtOut='.png'; % write result as .png images for image inputs NomTypeOut='_1_1'; else msgbox_uvmat('ERROR',['invalid file type input: ' FileType{1} ' not an image']) return end % % NomTypeOut='_1-2_1';% output file index will indicate the first and last ref index in the series % if NbSlice~=nbfield_j % answer=msgbox_uvmat('INPUT_Y-N',['will not average slice by slice: for so cancel and set NbSlice= ' num2str(nbfield_j)]); % if ~strcmp(answer,'Yes') % return % end % end %% Set field names and velocity types %not relevant here %% Initiate output fields %not relevant here %%% SPECIFIC PART BEGINS HERE NbSlice=Param.IndexRange.NbSlice; %number of slices siz=size(i1_series); nbaver_init=23;%approximate number of images used for the sliding background: to be adjusted later to include an integer number of bursts j1=[];%default %% apply the image rescaling function 'level' (avoid the blinking effects of bright particles) answer=msgbox_uvmat('INPUT_Y-N','apply image rescaling function levels.m after sub_background'); test_level=isequal(answer,'Yes'); %% adjust the proposed number of images in the sliding average to include an integer number of bursts if siz(3)~=1 nbaver=floor(nbaver_init/siz(2)); % number of bursts used for the sliding background, if isequal(floor(nbaver/2),nbaver) nbaver=nbaver+1;%put the number of burst to an odd number (so the middle burst is defined) end nbaver_init=nbaver*siz(2);%propose by default an integer number of bursts end %% set processing parameters prompt = {'Number of images for the sliding background (MUST FIT IN COMPUETER MEMORY)';'The number of positions (laser slices)';'volume scan mode (Yes/No)';... 'the luminosity rank chosen to define the background (0.1=for dense particle seeding, 0.5 (median) for sparse particles'}; dlg_title = ['get (slice by slice) a sliding background and substract to each image, result in subdir ' Param.OutputDir]; num_lines= 3; def = { num2str(nbaver_init);num2str(NbSlice);'No';'0.1'}; answer = inputdlg(prompt,dlg_title,num_lines,def); set(hseries.ParamVal,'String',answer([1 [3:4]])) set(hseries.ParamVal,'Visible','on') nbaver_ima=str2num(answer{1});%number of images for the sliding background nbaver=ceil(nbaver_ima/siz(2));%number of bursts for the sliding background if isequal(floor(nbaver/2),nbaver) nbaver=nbaver+1;%put the number of burst to an odd number (so the middle burst is defined) end step=siz(2);%case of bursts: the sliding background is shifted by one burst vol_test=answer{3}; if isequal(vol_test,'Yes') nbfield2=1;%case of volume: no consecutive series at a given level NbSlice=siz(2);%number of slices else nbfield2=siz(2); %nb of consecutive images at each level(burst) if siz(3)>1 % NbSlice=str2num(answer{2})/(num_i1(1,2)-num_i1(1,1));% number of slices NbSlice=str2num(answer{2})/(i1_series(1,1,2)-i1_series(1,1,1));% number of slices else NbSlice=1; end if ~isequal(floor(NbSlice),NbSlice) msgbox_uvmat('ERROR','the number of slices must be a multiple of the i increment') return end end rank=floor(str2num(answer{4})*nbaver_ima); if rank==0 rank=1;%rank selected in the sorted image series end lengthtot=siz(2)*siz(3); nbfield=floor(lengthtot/(nbfield2*NbSlice));%total number of i indexes (adjusted to an integer number of slices) nbfield_slice=nbfield*nbfield2;% number of fields per slice if nbaver_ima > nbfield*nbfield2 msgbox_uvmat('ERROR','number of images in a slice smaller than the proposed number of images for the sliding average') return end nbfirst=(ceil(nbaver/2))*step; if nbfirst>nbaver_ima nbfirst=ceil(nbaver_ima/2); step=1; nbaver=nbaver_ima; end %% prealocate memory for the sliding background Afirst=read_image(filecell{1,1},FileType{1},MovieObject,i1_series(1,1)); [npy,npx]=size(Afirst); try Ak=zeros(npy,npx,nbaver_ima,'uint16'); %prealocate memory Asort=zeros(npy,npx,nbaver_ima,'uint16'); %prealocate memory catch ME msgbox_uvmat('ERROR',ME.message) return end %% update the xml file SubDirBase=regexprep(Param.InputTable{1,2},'\..*','');%take the root part of SubDir, before the first dot '.' filexml=fullfile(RootPath{1},[SubDirBase '.xml']); if ~exist(filexml,'file') && exist([filebase '.xml'],'file')% xml inside the image directory copyfile([filebase '.xml'],filexml);% copy the .xml file end if exist(filexml,'file') t=xmltree(filexml); %update information on the first image name in the series uid_Heading=find(t,'ImaDoc/Heading'); if isempty(uid_Heading) [t,uid_Heading]=add(t,1,'element','Heading'); end uid_ImageName=find(t,'ImaDoc/Heading/ImageName'); if ~isempty(j1_series{1}) j1=j1_series{1}(1); end ImageName=fullfile_uvmat([dir_images term],'',RootFile{1},'.png',NomType,i1_series(1,1),[],j1); [pth,ImageName]=fileparts(ImageName); ImageName=[ImageName '.png']; if isempty(uid_ImageName) [t,uid_ImageName]=add(t,uid_Heading,'element','ImageName'); end uid_value=children(t,uid_ImageName); if isempty(uid_value) t=add(t,uid_ImageName,'chardata',ImageName);%indicate name of the first image, with ;png extension else t=set(t,uid_value(1),'value',ImageName);%indicate name of the first image, with ;png extension end %add information about image transform [t,new_uid]=add(t,1,'element','ImageTransform'); [t,NameFunction_uid]=add(t,new_uid,'element','NameFunction'); [t]=add(t,NameFunction_uid,'chardata','sub_background'); if test_level [t,NameFunction_uid]=add(t,new_uid,'element','NameFunction'); [t]=add(t,NameFunction_uid,'chardata','levels'); end [t,NbSlice_uid]=add(t,new_uid,'element','NbSlice'); [t]=add(t,new_uid,'chardata',num2str(NbSlice)); [t,NbSlidingImages_uid]=add(t,new_uid,'element','NbSlidingImages'); [t]=add(t,NbSlidingImages_uid,'chardata',num2str(nbaver)); [t,LuminosityRank_uid]=add(t,new_uid,'element','RankBackground'); [t]=add(t,LuminosityRank_uid,'chardata',num2str(rank));% luminosity rank almong the nbaver sliding images save(t,filexml) end %copy the mask % if exist([filebase '_1mask_1'],'file') % copyfile([filebase '_1mask_1'],[filebase_b '_1mask_1']);% copy the mask file % end %MAIN LOOP ON SLICES for islice=1:NbSlice %% select the series of image indices at the level islice for ifield=1:nbfield for iburst=1:nbfield2 indselect(iburst,ifield)=((ifield-1)*NbSlice+(islice-1))*nbfield2+iburst; end end %% read the first series of nbaver_ima images and sort by luminosity at each pixel for ifield = 1:nbaver_ima ifile=indselect(ifield); filename=filecell{1,ifile}; Aread=read_image(filename,FileType,MovieObject,i1_series{1}(ifile)); Ak(:,:,ifield)=Aread; end Asort=sort(Ak,3);%sort the luminosity of images at each point B=Asort(:,:,rank);%background image display( 'first background image will be substracted') for ifield=1:nbfirst Acor=double(Ak(:,:,ifield))-double(B);%substract background to the current image Acor=(Acor>0).*Acor; % put to 0 the negative elements in Acor C=uint16(Acor);% set to integer 16 bits ifile=indselect(ifield); % newname=name_generator(filebase_b,num_i1(ifile),num_j1(ifile),'.png',NomType)% makes the new file name if ~isempty(j1_series{1}) j1=j1_series{1}(ifile); end newname=fullfile_uvmat(RootPath{1},Param.OutputSubDir,RootFile{1},FileExtOut,NomTypeOut,i1_series(1,ifile),[],i_slice,[]); % newname=fullfile_uvmat(RootPath{1},SubdirResult,RootFile{1},'.png',NomType,i1_series{1}(ifile),[],j1); %newname=name_generator(filebase_b,i1_series{1}(ifile),j1_series{1}(ifile),'.png',NomType);% makes the new file name if test_level C=levels(C); imwrite(C,newname,'BitDepth',8); % save the new image else imwrite(C,newname,'BitDepth',16); % save the new image end end %% repeat the operation on a sliding series of nbaver*nbfield2 images display('sliding background image will be substracted') if nbfield_slice > nbaver_ima for ifield = step*ceil(nbaver/2)+1:step:nbfield_slice-step*floor(nbaver/2) if checkrun stopstate=get(hseries.RUN,'BusyAction'); update_waitbar(hseries.waitbar_frame,WaitbarPos,(ifield+(islice-1)*nbfield_slice)/(nbfield_slice*NbSlice)) else stopstate='queue'; end if isequal(stopstate,'queue')% enable STOP command Ak(:,:,1:nbaver_ima-step)=Ak(:,:,1+step:nbaver_ima);% shift the current image series by one burst (step) %incorporate next burst in the current image series for iburst=1:step ifile=indselect(ifield+step*floor(nbaver/2)+iburst-1); filename=fullfile_uvmat(RootPath{1},SubDir,RootFile{1},FileExt,NomType,i1_series(1,ifile),[],j1_series(1,ifile)); %filename=name_generator(filebase,num_i1(ifile),num_j1(ifile),FileExt,NomType); Aread=read_image(filename,FileType,MovieObject,i1_series(1,ifile)); Ak(:,:,nbaver_ima-step+iburst)=Aread; end Asort=sort(Ak,3);%sort the new current image series by luminosity B=Asort(:,:,rank);%current background image for iburst=1:step index=step*floor(nbaver/2)+iburst; Acor=double(Ak(:,:,index))-double(B); Acor=(Acor>0).*Acor; % put to 0 the negative elements in Acor C=uint16(Acor); ifile=indselect(ifield+iburst-1); if ~isempty(j1_series{1}) j1=j1_series{1}(ifile); end newname=fullfile_uvmat(RootPath{1},Param.OutputSubDir,RootFile{1},FileExtOut,NomTypeOut,i1_series(1,1),[],i_slice,[]); % newname=fullfile_uvmat(Param.InputTable{1,1},SubdirResult,Param.InputTable{1,3},'.png',NomType,i1_series{1}(ifile),[],j1); %[newname]=name_generator(filebase_b,num_i1(ifile),num_j1(ifile),'.png',NomType) % makes the new file name if test_level C=levels(C); imwrite(C,newname,'BitDepth',8); % save the new image else imwrite(C,newname,'BitDepth',16); % save the new image end end else return end end end %% substract the background from the last images display('last background image will be substracted') ifield=nbfield_slice-(step*ceil(nbaver/2))+1:nbfield_slice; for ifield=nbfield_slice-(step*floor(nbaver/2))+1:nbfield_slice index=ifield-nbfield_slice+step*(2*floor(nbaver/2)+1); Acor=double(Ak(:,:,index))-double(B); Acor=(Acor>0).*Acor; % put to 0 the negative elements in Acor C=uint16(Acor); ifile=indselect(ifield); if ~isempty(j1_series{1}) j1=j1_series{1}(ifile); end newname=fullfile_uvmat(RootPath{1},Param.OutputSubDir,RootFile{1},FileExtOut,NomTypeOut,i1_series(1,ifile),[],j1); % newname=fullfile_uvmat(Param.InputTable{1,1},SubdirResult,Param.InputTable{1,3},'.png',NomType,i1_series{1}(ifile),[],j1); if test_level C=levels(C); imwrite(C,newname,'BitDepth',8); % save the new image else imwrite(C,newname,'BitDepth',16); % save the new image end end end %finish the waitbar if checkrun update_waitbar(hseries.waitbar,WaitbarPos,1) end %------------------------------------------------------------------------ %--read images and convert them to the uint16 format used for PIV function A=read_image(FileName,FileType,VideoObject,num) %------------------------------------------------------------------------ %num is the view number needed for an avi movie switch FileType case {'video','mmreader'} A=read(VideoObject,num); case 'multimage' A=imread(FileName,num); case 'image' A=imread(FileName); end siz=size(A); if length(siz)==3;%color images A=sum(double(A),3);% take the sum of color components end function C=levels(A) %whos A; B=double(A(:,:,1)); windowsize=round(min(size(B,1),size(B,2))/20); windowsize=floor(windowsize/2)*2+1; ix=1/2-windowsize/2:-1/2+windowsize/2;% %del=np/3; %fct=exp(-(ix/del).^2); fct2=cos(ix/(windowsize-1)/2*pi/2); %Mfiltre=(ones(5,5)/5^2); %Mfiltre=fct2'; Mfiltre=fct2'*fct2; Mfiltre=Mfiltre/(sum(sum(Mfiltre))); C=filter2(Mfiltre,B); C(:,1:windowsize)=C(:,windowsize)*ones(1,windowsize); C(:,end-windowsize+1:end)=C(:,end-windowsize+1)*ones(1,windowsize); C(1:windowsize,:)=ones(windowsize,1)*C(windowsize,:); C(end-windowsize+1:end,:)=ones(windowsize,1)*C(end-windowsize,:); C=tanh(B./(2*C)); [n,c]=hist(reshape(C,1,[]),100); % figure;plot(c,n); [m,i]=max(n); c_max=c(i); [dummy,index]=sort(abs(c-c(i))); n=n(index); c=c(index); i_select = find(cumsum(n)<0.95*sum(n)); if isempty(i_select) i_select = 1:length(c); end c_select=c(i_select); n_select=n(i_select); cmin=min(c_select); cmax=max(c_select); C=(C-cmin)/(cmax-cmin)*256; C=uint8(C);