- Timestamp:
- Mar 4, 2014, 10:23:22 PM (11 years ago)
- File:
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- 1 edited
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trunk/src/transform_field/ima_filter.m
r574 r730 1 % 'ima_filter': low-pass filtr of an image (builtin filtering parameter)1 % 'ima_filter': example of image transform with input parameters: low-pass filter of an image 2 2 3 3 %------------------------------------------------------------------------ 4 %%%% Use the general syntax for transform fields with a single input %%%%4 %%%% Use the general syntax for transform fields with a single input and parameters %%%% 5 5 % OUTPUT: 6 6 % DataOut: output field structure 7 7 8 8 %INPUT: 9 % DataIn: first input field structure 10 %------------------------------------------------------------------------ 11 function DataOut=ima_filter(DataIn) 12 np=20 %size of the filtering window 9 % DataIn: input field structure 10 % Param: matlab structure whose field Param.TransformInput contains the filter parameters 11 %----------------------------------- 12 13 %------------------------------------- 14 function DataOut=ima_test(DataIn,Param) 15 if isequal(DataIn,'*') 16 prompt = {'npx';'npy'}; 17 dlg_title = 'get the filter size in x and y'; 18 num_lines= 2; 19 def = { '20';'20'}; 20 if isfield(Param,'TransformInput')&&isfield(Param.TransformInput,'FilterBoxSize_x')&&... 21 isfield(Param.TransformInput,'FilterBoxSize_y') 22 def={num2str(Param.TransformInput.FilterBoxSize_x);num2str(Param.TransformInput.FilterBoxSize_y)}; 23 end 24 answer = inputdlg(prompt,dlg_title,num_lines,def); 25 DataOut.TransformInput.FilterBoxSize_x=str2num(answer{1}); %size of the filtering window 26 DataOut.TransformInput.FilterBoxSize_y=str2num(answer{2}); %size of the filtering window 27 return 28 end 29 30 DataOut=DataIn; %default 31 13 32 %definition of the cos shape matrix filter 14 ix=[1/2-np/2:-1/2+np/2];% 15 del=np/3; 33 ix=[1/2-Param.TransformInput.FilterBoxSize_x/2:-1/2+Param.TransformInput.FilterBoxSize_x/2];% 34 iy=[1/2-Param.TransformInput.FilterBoxSize_y/2:-1/2+Param.TransformInput.FilterBoxSize_y/2];% 35 %del=np/3; 16 36 %fct=exp(-(ix/del).^2); 17 fct2=cos(ix/((np-1)/2)*pi/2); 37 fct2_x=cos(ix/((Param.TransformInput.FilterBoxSize_x-1)/2)*pi/2); 38 fct2_y=cos(iy/((Param.TransformInput.FilterBoxSize_y-1)/2)*pi/2); 18 39 %Mfiltre=(ones(5,5)/5^2); 19 Mfiltre=fct2 '*fct2;40 Mfiltre=fct2_y'*fct2_x; 20 41 Mfiltre=Mfiltre/(sum(sum(Mfiltre)));%normalize filter 21 42 22 DataOut=DataIn; %default 23 Atype=class(DataIn.A)% detect integer 8 or 16 bits 43 Atype=class(DataIn.A);% detect integer 8 or 16 bits 24 44 if numel(size(DataIn.A))==3 25 45 DataOut.A=filter2(Mfiltre,sum(DataIn.A,3));%filter the input image, after summation on the color component (for color images)
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