%'sub_background': substract background to an image series, used with series.fig %------------------------------------------------------------------------ % function GUI_input=sub_background(Param) % %OUTPUT % GUI_input=list of options in the GUI series.fig needed for the function % %INPUT: %num_i1: series of first indices i (given from the series interface as first_i:incr_i:last_i, mode and list_pair_civ) %num_i2: series of second indices i (given from the series interface as first_i:incr_i:last_i, mode and list_pair_civ) %num_j1: series of first indices j (given from the series interface as first_j:incr_j:last_j, mode and list_pair_civ ) %num_j2: series of second indices j (given from the series interface as first_j:incr_j:last_j, mode and list_pair_civ) %Series: Matlab structure containing information set by the series interface % .RootPath: path to the image series % .RootFile: root file name % .FileExt: image file extension % .NomType: nomenclature type for file indexing % .NbSlice: %number of slices defined on the interface %---------------------------------------------------------------------- % 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) %------------------------------------------------------------------------ %requests for the visibility of input windows in the GUI series (activated directly by the selection in the menu ACTION) if ~exist('Param','var') GUI_input={'RootPath';'on';... 'SubDir';'off';... % subdirectory of derived files (PIV fields), ('on' by default) 'RootFile';'on';... %root input file name ('on' by default) 'FileExt';'on';... %inputf file extension ('on' by default) 'NomType';'on';...%type of file indexing ('on' by default) 'NbSlice';'on'; ...%nbre of slices ('off' by default) %'VelTypeMenu';'on';...% menu for selecting the velocity type (civ1,..)('off' by default) %'FieldMenu';'on';...% menu for selecting the velocity field (s) in the input file ('off' by default) %'VelTypeMenu_1';'on';...% menu for selecting the velocity type (civ1,..)('off' by default) %'FieldMenu_1';'on';...% menu for selecting the velocity field (s) in the input file ('off' by default) %'CoordType';...%can use a transform function %'GetObject';...;%can use projection object %'GetMask';...;%can use mask option %'PARAMETER';'NbSliding';... %'PARAMETER';'VolumeScan';... %'PARAMETER';'RankBrightness';... ''}; return %exit the function end %% input parameters % read the xml file for batch case if ischar(Param) && ~isempty(find(regexp('Param','.xml$'))) Param=xml2struct(Param); else % RUN case: parameters introduced as the input structure Param hseries=guidata(Param.hseries);%handles of the GUI series WaitbarPos=get(hseries.waitbar_frame,'Position'); end [filecell,i1_series,i2_series,j1_series,j2_series]=get_file_series(Param); if size(filecell,1)>1 msgbox_uvmat('ERROR','This function use only one input image series') return end %%% TODO: update with the new conventions%%%%%%%%%%%%%%%%% %% determine input image type FileType=[];%default MovieObject=[]; FileExt=Series.FileExt; if isequal(lower(FileExt),'.avi') hhh=which('mmreader'); if ~isequal(hhh,'')&& mmreader.isPlatformSupported() MovieObject=mmreader(fullfile(RootPath,[RootFile FileExt])); FileType='movie'; else FileType='avi'; end elseif isequal(lower(FileExt),'.vol') FileType='vol'; else form=imformats(FileExt(2:end)); if ~isempty(form)% if the extension corresponds to an image format recognized by Matlab if isequal(Series.NomType,'*'); FileType='multimage'; else FileType='image'; end end end if isempty(FileType) msgbox_uvmat('ERROR',['invalid file extension ' FileExt ': this function only accepts image or movie input']) return end nbslice_i=Series.NbSlice; %number of slices siz=size(num_i1); nbaver_init=23;%approximate number of images used for the sliding background: to be adjusted later to include an integer number of bursts %% 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(2)~=1 nbaver=floor(nbaver_init/siz(1)); % 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(1);%propose by default an integer number of bursts end filebase=fullfile(Series.RootPath,Series.RootFile); dir_images=Series.RootPath; nom_type=Series.NomType; %% create dir of the new images % [dir_images,namebase]=fileparts(filebase); if test_level term='_b_levels'; else term='_b'; end [pp,subdir_ima]=fileparts(Series.RootPath); try mkdir([dir_images term]); catch ME msgbox_uvmat('ERROR',ME.message); return end [xx,msg2] = fileattrib([dir_images term],'+w','g'); %yield writing access (+w) to user group (g) if ~strcmp(msg2,'') msgbox_uvmat('ERROR',['pb of permission for ' subdir_ima term ': ' msg2])%error message for directory creation return end filebase_b=fullfile([dir_images term],Series.RootFile); %% 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 ' subdir_ima term]; num_lines= 3; def = { num2str(nbaver_init);num2str(nbslice_i);'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(1));%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(1);%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_i=siz(1);%number of slices else nbfield2=siz(1); %nb of consecutive images at each level(burst) if siz(2)>1 nbslice_i=str2num(answer{2})/(num_i1(1,2)-num_i1(1,1));% number of slices else nbslice_i=1; end if ~isequal(floor(nbslice_i),nbslice_i) 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(1)*siz(2); nbfield=floor(lengthtot/(nbfield2*nbslice_i));%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 first_image=name_generator(filebase,num_i1(1),num_j1(1),Series.FileExt,Series.NomType); Afirst=read_image(first_image,FileType,num_i1(1),MovieObject); [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 %% copy the xml file if exist([filebase '.xml'],'file') copyfile([filebase '.xml'],[filebase_b '.xml']);% copy the .civ file t=xmltree([filebase_b '.xml']); %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'); ImageName=name_generator(filebase_b,num_i1(1),num_j1(1),'.png',Series.NomType); [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_i)); [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,[filebase_b '.xml']) elseif exist([filebase '.civ'],'file') copyfile([filebase '.civ'],[filebase_b '.civ']);% copy the .civ file 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_i %% select the series of image indices at the level islice for ifield=1:nbfield for iburst=1:nbfield2 indselect(iburst,ifield)=((ifield-1)*nbslice_i+(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=name_generator(filebase,num_i1(ifile),num_j1(ifile),Series.FileExt,Series.NomType); Aread=read_image(filename,FileType,num_i1(ifile),MovieObject); 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',nom_type)% 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) stopstate=get(hseries.RUN,'BusyAction'); if isequal(stopstate,'queue')% enable STOP command update_waitbar(hseries.waitbar,WaitbarPos,(ifield+(islice-1)*nbfield_slice)/(nbfield_slice*nbslice_i)) display((ifield+(islice-1)*nbfield_slice)/(nbfield_slice*nbslice_i)) 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=name_generator(filebase,num_i1(ifile),num_j1(ifile),Series.FileExt,Series.NomType); Aread=read_image(filename,FileType,num_i1(ifile),MovieObject); 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); [newname]=... name_generator(filebase_b,num_i1(ifile),num_j1(ifile),'.png',Series.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); newname=name_generator(filebase_b,num_i1(ifile),num_j1(ifile),'.png',nom_type)% 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 end %finish the waitbar update_waitbar(hseries.waitbar,WaitbarPos,1) %------------------------------------------------------------------------ %--read images and convert them to the uint16 format used for PIV function A=read_image(filename,type_ima,num,MovieObject) %------------------------------------------------------------------------ %num is the view number needed for an avi movie switch type_ima case 'movie' A=read(MovieObject,num); case 'avi' mov=aviread(filename,num); A=frame2im(mov(1)); 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); 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);