- Timestamp:
- Jun 11, 2016, 9:32:29 PM (9 years ago)
- Location:
- trunk/src
- Files:
-
- 7 edited
Legend:
- Unmodified
- Added
- Removed
-
trunk/src/imadoc2struct.m
r924 r950 126 126 end 127 127 end 128 if ~isfield(s.Camera,'FirstFrameIndexI') 129 s.Camera.FirstFrameIndexI=1; %first index qssumed equl to 1 by default 130 end 128 131 s.Time=[zeros(size(s.Time,1),1) s.Time]; %insert a vertical line of zeros (to deal with zero file indices) 129 s.Time=[zeros(1,size(s.Time,2)); s.Time]; %insert a horizontal line of zeros 132 if s.Camera.FirstFrameIndexI~=0 133 s.Time=[zeros(s.Camera.FirstFrameIndexI,size(s.Time,2)); s.Time]; %insert a horizontal line of zeros 134 end 130 135 end 131 136 -
trunk/src/script_readlvm.m
r893 r950 1 1 %% get the input file 2 fileinput=uigetfile_uvmat('pick an input file','/fsnet/project/coriolis/201 5/15STRATJET/Probes');2 fileinput=uigetfile_uvmat('pick an input file','/fsnet/project/coriolis/2016/16MILESTONE/Data'); 3 3 [Path,Name,Ext]=fileparts(fileinput); 4 4 -
trunk/src/series.m
r942 r950 990 990 Time=XmlData.Time; 991 991 TimeName='xml'; 992 if XmlData.Time(1,:)==XmlData.Time(2,:)% case starting with index 1 993 sizDti=size(XmlData.Time,1)-1;%size of the time vector explicitly defined in the xml file 994 ind_start=1; 995 else 996 sizDti=size(XmlData.Time,1);% case starting with index 0 997 ind_start=0; 998 end 999 % complement the input if the whole time series is not defined 1000 if size(i1_series,3)>size(XmlData.Time,1)-ind_start %only the first time interval is defined, extrapolate to the whole series 1001 Dti_total=XmlData.Time(end)-XmlData.Time(1);%total time interval covered by the time vector 1002 missing_indices=sizDti+1+ind_start:size(i1_series,3)+1;% remaining set of frame indices for which time needs to be found 1003 repeat_nbre=1+floor((missing_indices-sizDti-ind_start)/(sizDti-1));% number of repetitions of Dti 1004 time_indices=1+mod(missing_indices-sizDti-1,sizDti-1); 1005 for j=1:size(XmlData.Time,2) 1006 Time(missing_indices,j)=XmlData.Time(time_indices,j)+repeat_nbre'*Dti_total; 1007 end 1008 % update the xml file with NbDti 1009 t=xmltree(XmlFileName); 1010 uid_NbDti=find(t,'ImaDoc/Camera/BurstTiming/NbDti') 1011 if isempty(uid_NbDti) 1012 uid_BurstTiming=find(t,'ImaDoc/Camera/BurstTiming') 1013 [t,uid_NbDti]=add(t,uid_BurstTiming,'element','NbDti'); 1014 end 1015 [t,uid_NbDti]=add(t,uid_NbDti,'chardata',num2str(repeat_nbre(end)-1)); 1016 save(t,XmlFileName) 1017 end 992 1018 end 993 1019 if isfield(XmlData,'Camera') -
trunk/src/series/civ_series.m
r949 r950 283 283 if iview_A~=0 284 284 XmlFileName=find_imadoc(RootPath_A,SubDir_A,RootFile_A,FileExt_A); 285 time=[];285 Time=[]; 286 286 if ~isempty(XmlFileName) 287 287 XmlData=imadoc2struct(XmlFileName); 288 288 if isfield(XmlData,'Time') 289 time=XmlData.Time;289 Time=XmlData.Time; 290 290 TimeSource='xml'; 291 291 end … … 302 302 end 303 303 end 304 if isempty( time) && ~isempty(find(strcmp(FileType_A,{'mmreader','video'})))% case of video input305 time=zeros(FileInfo_A.NumberOfFrames+1,2);306 time(:,2)=(0:1/FileInfo_A.FrameRate:(FileInfo_A.NumberOfFrames)/FileInfo_A.FrameRate)';304 if isempty(Time) && ~isempty(find(strcmp(FileType_A,{'mmreader','video'})))% case of video input 305 Time=zeros(FileInfo_A.NumberOfFrames+1,2); 306 Time(:,2)=(0:1/FileInfo_A.FrameRate:(FileInfo_A.NumberOfFrames)/FileInfo_A.FrameRate)'; 307 307 TimeSource='video'; 308 308 ColorType='truecolor'; 309 309 end 310 if isempty( time)% time = index i +0.001 index j by default310 if isempty(Time)% Time = index i +0.001 index j by default 311 311 %MinIndex_i=min(i1_series_Civ1); 312 312 MaxIndex_i=max(i2_series_Civ1); 313 313 %MinIndex_j=min(j1_series_Civ1); 314 314 MaxIndex_j=max(j2_series_Civ1); 315 time=(1:MaxIndex_i)'*ones(1,MaxIndex_j);316 time=time+0.001*ones(MaxIndex_i,1)*(1:MaxIndex_j);317 time=[zeros(1,MaxIndex_j);time];% insert a first line of zeros318 time=[zeros(MaxIndex_i+1,1) time];% insert a first column of zeros315 Time=(1:MaxIndex_i)'*ones(1,MaxIndex_j); 316 Time=Time+0.001*ones(MaxIndex_i,1)*(1:MaxIndex_j); 317 Time=[zeros(1,MaxIndex_j);Time];% insert a first line of zeros 318 Time=[zeros(MaxIndex_i+1,1) Time];% insert a first column of zeros 319 319 end 320 320 … … 438 438 end 439 439 if strcmp(Param.ActionInput.ListCompareMode,'displacement') 440 Data.Civ1_Time= time(i2+1,j2+1);% the time is the time of the secodn image441 Data.Civ1_Dt=1;% time interval is 1, to yield displacement instead of velocity=displacement/Dt at reading440 Data.Civ1_Time=Time(i2+1,j2+1);% the Time is the Time of the secodn image 441 Data.Civ1_Dt=1;% Time interval is 1, to yield displacement instead of velocity=displacement/Dt at reading 442 442 else 443 Data.Civ1_Time=( time(i2+1,j2+1)+time(i1+1,j1+1))/2;% the time is the time at the middle of the image pair444 Data.Civ1_Dt= time(i2+1,j2+1)-time(i1+1,j1+1);443 Data.Civ1_Time=(Time(i2+1,j2+1)+Time(i1+1,j1+1))/2;% the Time is the Time at the middle of the image pair 444 Data.Civ1_Dt=Time(i2+1,j2+1)-Time(i1+1,j1+1); 445 445 end 446 446 for ilist=1:length(list_param) … … 736 736 Civ2_Dt=1; 737 737 else 738 Civ2_Dt= time(i2_civ2+1,j2_civ2+1)-time(i1_civ2+1,j1_civ2+1);738 Civ2_Dt=Time(i2_civ2+1,j2_civ2+1)-Time(i1_civ2+1,j1_civ2+1); 739 739 end 740 740 end … … 761 761 Data.Civ2_ImageB=ImageName_B; 762 762 if strcmp(Param.ActionInput.ListCompareMode,'displacement') 763 Data.Civ2_Time= time(i2_civ2+1,j2_civ2+1);% the time is the time of the secodn image764 Data.Civ2_Dt=1;% time interval is 1, to yield displacement instead of velocity=displacement/Dt at reading763 Data.Civ2_Time=Time(i2_civ2+1,j2_civ2+1);% the Time is the Time of the secodn image 764 Data.Civ2_Dt=1;% Time interval is 1, to yield displacement instead of velocity=displacement/Dt at reading 765 765 else 766 Data.Civ2_Time=( time(i2_civ2+1,j2_civ2+1)+time(i1_civ2+1,j1_civ2+1))/2;766 Data.Civ2_Time=(Time(i2_civ2+1,j2_civ2+1)+Time(i1_civ2+1,j1_civ2+1))/2; 767 767 Data.Civ2_Dt=Civ2_Dt; 768 768 end -
trunk/src/series/sub_background.m
r924 r950 340 340 if Param.ActionInput.CheckLevelTransform 341 341 C=levels(Acor); 342 imwrite(C,newname,'BitDepth', 8); % save the new image342 imwrite(C,newname,'BitDepth',16); % save the new image 343 343 else 344 344 if isequal(FileInfo{1}.BitDepth,16) … … 393 393 if Param.ActionInput.CheckLevelTransform 394 394 C=levels(Acor); 395 imwrite(C,newname,'BitDepth', 8); % save the new image395 imwrite(C,newname,'BitDepth',16); % save the new image 396 396 else 397 397 if isequal(FileInfo{1}.BitDepth,16) … … 421 421 if Param.ActionInput.CheckLevelTransform 422 422 C=levels(Acor); 423 imwrite(C,newname,'BitDepth', 8); % save the new image423 imwrite(C,newname,'BitDepth',16); % save the new image 424 424 else 425 425 if isequal(FileInfo{1}.BitDepth,16) … … 435 435 end 436 436 437 438 437 function C=levels(A) 439 %whos A; 440 B=double(A(:,:,1)); 441 windowsize=round(min(size(B,1),size(B,2))/20); 442 windowsize=floor(windowsize/2)*2+1; 443 ix=1/2-windowsize/2:-1/2+windowsize/2;% 444 %del=np/3; 445 %fct=exp(-(ix/del).^2); 446 fct2=cos(ix/(windowsize-1)/2*pi/2); 447 %Mfiltre=(ones(5,5)/5^2); 448 %Mfiltre=fct2'; 449 Mfiltre=fct2'*fct2; 450 Mfiltre=Mfiltre/(sum(sum(Mfiltre))); 451 452 C=filter2(Mfiltre,B); 453 C(:,1:windowsize)=C(:,windowsize)*ones(1,windowsize); 454 C(:,end-windowsize+1:end)=C(:,end-windowsize+1)*ones(1,windowsize); 455 C(1:windowsize,:)=ones(windowsize,1)*C(windowsize,:); 456 C(end-windowsize+1:end,:)=ones(windowsize,1)*C(end-windowsize,:); 457 C=tanh(B./(2*C)); 458 [n,c]=hist(reshape(C,1,[]),100); 459 % figure;plot(c,n); 460 461 [m,i]=max(n); 462 c_max=c(i); 463 [dummy,index]=sort(abs(c-c(i))); 464 n=n(index); 465 c=c(index); 466 i_select = find(cumsum(n)<0.95*sum(n)); 467 if isempty(i_select) 468 i_select = 1:length(c); 469 end 470 c_select=c(i_select); 471 n_select=n(i_select); 472 cmin=min(c_select); 473 cmax=max(c_select); 474 C=(C-cmin)/(cmax-cmin)*256; 475 C=uint8(C); 438 439 nblock_y=100;%2*Param.TransformInput.BlockSize; 440 nblock_x=100;%2*Param.TransformInput.BlockSize; 441 [npy,npx]=size(A); 442 [X,Y]=meshgrid(1:npx,1:npy); 443 444 %Backg=zeros(size(A)); 445 %Aflagmin=sparse(imregionalmin(A));%Amin=1 for local image minima 446 %Amin=A.*Aflagmin;%values of A at local minima 447 % local background: find all the local minima in image subblocks 448 fctblock= inline('median(x(:))'); 449 Backg=blkproc(A,[nblock_y nblock_x],fctblock);% take the median in blocks 450 fctblock= inline('mean(x(:))'); 451 B=imresize(Backg,size(A),'bilinear');% interpolate to the initial size image 452 A=(A-B);%substract background 453 AMean=blkproc(A,[nblock_y nblock_x],fctblock);% take the mean in blocks 454 fctblock= inline('var(x(:))'); 455 AVar=blkproc(A,[nblock_y nblock_x],fctblock);% take the mean in blocks 456 Avalue=AVar./AMean% typical value of particle luminosity 457 Avalue=imresize(Avalue,size(A),'bilinear');% interpolate to the initial size image 458 C=uint16(1000*tanh(A./(2*Avalue))); 459 %Bmin=blkproc(Aflagmin,[nblock_y nblock_x],sumblock);% find the number of minima in blocks 460 %Backg=Backg./Bmin; % find the average of minima in blocks 461 % function C=levels(A) 462 % %whos A; 463 % B=double(A(:,:,1)); 464 % windowsize=round(min(size(B,1),size(B,2))/20); 465 % windowsize=floor(windowsize/2)*2+1; 466 % ix=1/2-windowsize/2:-1/2+windowsize/2;% 467 % %del=np/3; 468 % %fct=exp(-(ix/del).^2); 469 % fct2=cos(ix/(windowsize-1)/2*pi/2); 470 % %Mfiltre=(ones(5,5)/5^2); 471 % %Mfiltre=fct2'; 472 % Mfiltre=fct2'*fct2; 473 % Mfiltre=Mfiltre/(sum(sum(Mfiltre))); 474 % 475 % C=filter2(Mfiltre,B); 476 % C(:,1:windowsize)=C(:,windowsize)*ones(1,windowsize); 477 % C(:,end-windowsize+1:end)=C(:,end-windowsize+1)*ones(1,windowsize); 478 % C(1:windowsize,:)=ones(windowsize,1)*C(windowsize,:); 479 % C(end-windowsize+1:end,:)=ones(windowsize,1)*C(end-windowsize,:); 480 % C=tanh(B./(2*C)); 481 % [n,c]=hist(reshape(C,1,[]),100); 482 % % figure;plot(c,n); 483 % 484 % [m,i]=max(n); 485 % c_max=c(i); 486 % [dummy,index]=sort(abs(c-c(i))); 487 % n=n(index); 488 % c=c(index); 489 % i_select = find(cumsum(n)<0.95*sum(n)); 490 % if isempty(i_select) 491 % i_select = 1:length(c); 492 % end 493 % c_select=c(i_select); 494 % n_select=n(i_select); 495 % cmin=min(c_select); 496 % cmax=max(c_select); 497 % C=(C-cmin)/(cmax-cmin)*256; 498 % C=uint8(C); -
trunk/src/transform_field/ima_levels.m
r924 r950 1 % 'ima_remove_background': removes backgound from an image (using the local minimum) 2 % requires the Matlab image processing toolbox 3 %------------------------------------------------------------------------ 4 %%%% Use the general syntax for transform fields with a single input %%%% 5 % OUTPUT: 6 % DataOut: output field structure 7 % 8 %INPUT: 9 % DataIn: first input field structure 10 1 11 %======================================================================= 2 12 % Copyright 2008-2016, LEGI UMR 5519 / CNRS UGA G-INP, Grenoble, France … … 17 27 %======================================================================= 18 28 19 function DataOut=im_levels(DataIn) 20 %% set GUI config: no action defined 21 DataOut=[]; %default output field 22 if strcmp(DataIn,'*') 29 function DataOut=ima_remove_background_blocks(DataIn,Param) 30 %------------------------------------------------------------------------ 31 %% request input parameters 32 if isfield(DataIn,'Action') && isfield(DataIn.Action,'RUN') && isequal(DataIn.Action.RUN,0) 33 prompt = {'block size(pixels)'}; 34 dlg_title = 'get the block size (in pixels) used to calculate the local statistics'; 35 num_lines= 1; 36 def = { '100'}; 37 if isfield(Param,'TransformInput')&&isfield(Param.TransformInput,'BlockSize') 38 def={num2str(Param.TransformInput.BlockSize)}; 39 end 40 answer = inputdlg(prompt,dlg_title,num_lines,def); 41 DataOut.TransformInput.BlockSize=str2num(answer{1}); 23 42 return 24 43 end 25 %----------------------------------------------- 26 %parameters 27 np=30 44 if ~isfield(DataIn,'A') 45 DataOut.Txt='remove_particles only valid for input images'; 46 return 47 end 48 if ~exist('imerode','file'); 49 DataOut.Txt='the function imerode from the image processing toolbox is needed'; 50 return 51 end 52 28 53 %--------------------------------------------------------- 29 54 DataOut=DataIn;%default 55 nblock_y=2*Param.TransformInput.BlockSize; 56 nblock_x=2*Param.TransformInput.BlockSize; 57 [npy,npx]=size(DataIn.A); 58 [X,Y]=meshgrid(1:npx,1:npy); 30 59 31 B=double(DataIn.A(:,:,1)); 32 windowsize=round(min(size(B,1),size(B,2))/20); 33 windowsize=floor(windowsize/2)*2+1; 34 ix=[1/2-windowsize/2:-1/2+windowsize/2];% 35 %del=np/3; 36 %fct=exp(-(ix/del).^2); 37 fct2=cos(ix/((np-1)/2)*pi/2); 38 %Mfiltre=(ones(5,5)/5^2); 39 %Mfiltre=fct2'; 40 Mfiltre=fct2'*fct2; 41 Mfiltre=Mfiltre/(sum(sum(Mfiltre))); 42 43 C=filter2(Mfiltre,B); 44 C(:,1:windowsize)=C(:,windowsize)*ones(1,windowsize); 45 C(:,end-windowsize+1:end)=C(:,end-windowsize+1)*ones(1,windowsize); 46 C(1:windowsize,:)=ones(windowsize,1)*C(windowsize,:); 47 C(end-windowsize+1:end,:)=ones(windowsize,1)*C(end-windowsize,:); 48 C=tanh(B./(2*C)); 49 [n,c]=hist(reshape(C,1,[]),100); 50 % figure;plot(c,n); 51 52 [m,i]=max(n); 53 c_max=c(i); 54 [dummy,index]=sort(abs(c-c(i))); 55 n=n(index); 56 c=c(index); 57 i_select = find(cumsum(n)<0.95*sum(n)); 58 if isempty(i_select) 59 i_select = 1:length(c); 60 end 61 c_select=c(i_select); 62 n_select=n(i_select); 63 cmin=min(c_select); 64 cmax=max(c_select); 65 C=(C-cmin)/(cmax-cmin)*256; 66 DataOut.AA=uint8(C); 60 %BACKGROUND LEVEL 61 Atype=class(DataIn.A); 62 A=double(DataIn.A); 63 %Backg=zeros(size(A)); 64 %Aflagmin=sparse(imregionalmin(A));%Amin=1 for local image minima 65 %Amin=A.*Aflagmin;%values of A at local minima 66 % local background: find all the local minima in image subblocks 67 fctblock= inline('median(x(:))'); 68 Backg=blkproc(A,[nblock_y nblock_x],fctblock);% take the median in blocks 69 fctblock= inline('mean(x(:))'); 70 B=imresize(Backg,size(A),'bilinear');% interpolate to the initial size image 71 A=(A-B);%substract background 72 AMean=blkproc(A,[nblock_y nblock_x],fctblock);% take the mean in blocks 73 fctblock= inline('var(x(:))'); 74 AVar=blkproc(A,[nblock_y nblock_x],fctblock);% take the mean in blocks 75 Avalue=AVar./AMean% typical value of particle luminosity 76 Avalue=imresize(Avalue,size(A),'bilinear');% interpolate to the initial size image 77 DataOut.A=uint16(1000*tanh(A./(2*Avalue))); 78 %Bmin=blkproc(Aflagmin,[nblock_y nblock_x],sumblock);% find the number of minima in blocks 79 %Backg=Backg./Bmin; % find the average of minima in blocks 67 80 68 81 69 70 DataOut.A=uint8(C); -
trunk/src/uvmat.m
r946 r950 1970 1970 UvData.j1_series{index}=j1_series; 1971 1971 UvData.j2_series{index}=j2_series; 1972 nbfield=max(max(max(i2_series)));% total number of fields (i index) 1973 if isempty(nbfield) 1974 nbfield=max(max(max(i1_series))); 1975 end 1976 nbfield_j=max(max(max(j2_series)));% number of fields along j index 1977 if isempty(nbfield_j) 1978 nbfield_j=max(max(max(j1_series))); 1979 end 1972 1980 1973 1981 %% read timing and total frame number from the current file (e.g. movie files) … … 2020 2028 if isfield(XmlDataRead,'TimeUnit')&& ~isempty(XmlDataRead.TimeUnit) 2021 2029 TimeUnit=XmlDataRead.TimeUnit; 2022 end 2030 end 2023 2031 if isfield(XmlDataRead,'Time')&& ~isempty(XmlDataRead.Time) 2024 2032 XmlData.Time=XmlDataRead.Time; 2033 if XmlDataRead.Time(1,:)==XmlDataRead.Time(2,:)% case starting with index 1 2034 sizDti=size(XmlDataRead.Time,1)-1;%size of the time vector explicitly defined in the xml file 2035 ind_start=1; 2036 else 2037 sizDti=size(XmlDataRead.Time,1);% case starting with index 0 2038 ind_start=0; 2039 end 2040 % complement the input if the whole time series is not defined 2041 if size(i1_series,3)>size(XmlDataRead.Time,1)-ind_start %only the first time interval is defined, extrapolate to the whole series 2042 Dti_total=XmlDataRead.Time(end)-XmlDataRead.Time(1);%total time interval covered by the time vector 2043 missing_indices=sizDti+1+ind_start:size(i1_series,3)+1;% remaining set of frame indices for which time needs to be found 2044 repeat_nbre=1+floor((missing_indices-sizDti-ind_start)/(sizDti-1));% number of repetitions of Dti 2045 time_indices=1+mod(missing_indices-sizDti-1,sizDti-1); 2046 for j=1:size(XmlDataRead.Time,2) 2047 XmlData.Time(missing_indices,j)=XmlDataRead.Time(time_indices,j)+repeat_nbre'*Dti_total; 2048 end 2049 % update the xml file with NbDti 2050 t=xmltree(XmlFileName); 2051 uid_NbDti=find(t,'ImaDoc/Camera/BurstTiming/NbDti') 2052 if isempty(uid_NbDti) 2053 uid_BurstTiming=find(t,'ImaDoc/Camera/BurstTiming') 2054 [t,uid_NbDti]=add(t,uid_BurstTiming,'element','NbDti'); 2055 end 2056 [t,uid_NbDti]=add(t,uid_NbDti,'chardata',num2str(repeat_nbre(end)-1)); 2057 save(t,XmlFileName) 2058 end 2025 2059 end 2026 2060 set(handles.view_xml,'BackgroundColor',[1 1 1])% paint back to white … … 2070 2104 2071 2105 %% store last index in handles.MaxIndex_i and .MaxIndex_j 2072 nbfield=max(max(max(i2_series)));2073 if isempty(nbfield)2074 nbfield=max(max(max(i1_series)));2075 end2076 nbfield_j=max(max(max(j2_series)));2077 if isempty(nbfield_j)2078 nbfield_j=max(max(max(j1_series)));2079 end2080 2106 if isfield(XmlData,'Time')&& ~isempty(XmlData.Time) 2081 2107 %transform .Time to a column vector if it is a line vector the nomenclature uses a single index
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