Changeset 906 for trunk/src/transform_field/ima_remove_particles.m
 Timestamp:
 May 31, 2015, 7:49:31 PM (9 years ago)
 File:

 1 edited
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trunk/src/transform_field/ima_remove_particles.m
r897 r906 27 27 %======================================================================= 28 28 29 function DataOut=ima_remove_particles(DataIn )29 function DataOut=ima_remove_particles(DataIn,Param) 30 30 % 31 DataOut=[]; %default output field 32 if strcmp(DataIn,'*') 31 %% request input parameters 32 if isfield(DataIn,'Action') && isfield(DataIn.Action,'RUN') && isequal(DataIn.Action.RUN,0) 33 prompt = {'radius'}; 34 dlg_title = 'get the disk radius (pixels) used to calculate the regional minimum'; 35 num_lines= 1; 36 def = { '4'}; 37 if isfield(Param,'TransformInput')&&isfield(Param.TransformInput,'DiskRadius') 38 def={num2str(Param.TransformInput.DiskRadius)}; 39 end 40 answer = inputdlg(prompt,dlg_title,num_lines,def); 41 DataOut.TransformInput.DiskRadius=str2num(answer{1}); 33 42 return 34 35 43 end 36 37 %parameters38 threshold=200;39 nblock_x=10;%size of image subblocks for analysis40 nblock_y=10;41 %42 DataOut=DataIn;%default43 44 44 if ~isfield(DataIn,'A') 45 45 DataOut.Txt='remove_particles only valid for input images'; 46 46 return 47 47 end 48 if ~exist('imerode','file'); 49 DataOut.Txt='the function imerode from the image processing toolbox is needed'; 50 return 51 end 48 52 53 SE=strel('disk',Param.TransformInput.DiskRadius); 54 % 55 DataOut=DataIn;%default 56 57 [npy,npx]=size(DataIn.A); 58 [X,Y]=meshgrid(1:npx,1:npy); 49 59 %BACKGROUND LEVEL 50 60 Atype=class(DataIn.A); 51 A=double(DataIn.A); 61 %SE=ones(4); 62 Aerode=imerode(DataIn.A,SE); 63 Aflagmin=find(DataIn.A==Aerode); 52 64 % Backg=zeros(size(A)); 53 Aflagmin=sparse(imregionalmin(A));%Amin=1 for local image minima 54 Amin=A.*Aflagmin;%values of A at local minima 55 % local background: find all the local minima in image subblocks 56 sumblock= inline('sum(sum(x(:)))'); 57 Backg=blkproc(Amin,[nblock_y nblock_x],sumblock);% take the sum in blocks 58 Bmin=blkproc(Aflagmin,[nblock_y nblock_x],sumblock);% find the number of minima in blocks 59 Backg=Backg./Bmin; % find the average of minima in blocks 60 B=imresize(Backg,size(A),'bilinear');% interpolate to the initial size image 61 DataOut.A=B; 62 % ImPart=(AB); 63 % ImPart=ImPart.*(ImPart>threshold); 64 % DataOut.A=AImPart;% 65 %Aflagmin=imregionalmin(DataIn.A);%Amin=1 for local image minima 66 Xmin=X(Aflagmin); 67 Ymin=Y(Aflagmin); 68 Amin=double(DataIn.A(Aflagmin)); 69 F = TriScatteredInterp([Xmin Ymin], Amin); 70 DataOut.A=F(X,Y); 65 71 DataOut.A=feval(Atype,DataOut.A); 66 72
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