[917] | 1 | % 'ima_edge_detection': find edges
|
---|
| 2 |
|
---|
| 3 | %------------------------------------------------------------------------
|
---|
| 4 | %%%% Use the general syntax for transform fields with a single input and parameters %%%%
|
---|
| 5 | % OUTPUT:
|
---|
[928] | 6 | % Data: output field structure
|
---|
[917] | 7 | %
|
---|
| 8 | %INPUT:
|
---|
| 9 | % DataIn: input field structure
|
---|
| 10 | % Param: matlab structure whose field Param.TransformInput contains the filter parameters
|
---|
| 11 | %-----------------------------------
|
---|
| 12 |
|
---|
| 13 | %=======================================================================
|
---|
[1061] | 14 | % Copyright 2008-2019, LEGI UMR 5519 / CNRS UGA G-INP, Grenoble, France
|
---|
[917] | 15 | % http://www.legi.grenoble-inp.fr
|
---|
| 16 | % Joel.Sommeria - Joel.Sommeria (A) legi.cnrs.fr
|
---|
| 17 | %
|
---|
| 18 | % This file is part of the toolbox UVMAT.
|
---|
| 19 | %
|
---|
| 20 | % UVMAT is free software; you can redistribute it and/or modify
|
---|
| 21 | % it under the terms of the GNU General Public License as published
|
---|
| 22 | % by the Free Software Foundation; either version 2 of the license,
|
---|
| 23 | % or (at your option) any later version.
|
---|
| 24 | %
|
---|
| 25 | % UVMAT is distributed in the hope that it will be useful,
|
---|
| 26 | % but WITHOUT ANY WARRANTY; without even the implied warranty of
|
---|
| 27 | % MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
|
---|
| 28 | % GNU General Public License (see LICENSE.txt) for more details.
|
---|
| 29 | %=======================================================================
|
---|
| 30 |
|
---|
[928] | 31 | function Data=ima_edge_detection(Data,Param,Data_1)
|
---|
[917] | 32 |
|
---|
| 33 | %% request input parameters
|
---|
[928] | 34 | if isfield(Data,'Action') && isfield(Data.Action,'RUN') && isequal(Data.Action.RUN,0)
|
---|
[917] | 35 | prompt = {'npx';'npy';'threshold'};
|
---|
| 36 | dlg_title = 'get the filter size in x and y';
|
---|
| 37 | num_lines= 3;
|
---|
| 38 | def = { '50';'50';'0.3'};
|
---|
| 39 | if isfield(Param,'TransformInput')&&isfield(Param.TransformInput,'FilterBoxSize_x')&&...
|
---|
| 40 | isfield(Param.TransformInput,'FilterBoxSize_y')&&isfield(Param.TransformInput,'LumThreshold')
|
---|
| 41 | def={num2str(Param.TransformInput.FilterBoxSize_x);num2str(Param.TransformInput.FilterBoxSize_y);num2str(Param.TransformInput.LumThreshold)};
|
---|
| 42 | end
|
---|
| 43 | answer = inputdlg(prompt,dlg_title,num_lines,def);
|
---|
[928] | 44 | Data.TransformInput.FilterBoxSize_x=str2num(answer{1}); %size of the filtering window
|
---|
| 45 | Data.TransformInput.FilterBoxSize_y=str2num(answer{2}); %size of the filtering window
|
---|
| 46 | Data.TransformInput.LumThreshold=str2num(answer{3}); %size of the filtering window
|
---|
[917] | 47 | return
|
---|
| 48 | end
|
---|
| 49 |
|
---|
| 50 |
|
---|
| 51 | %definition of the cos shape matrix filter
|
---|
| 52 | ix=[1/2-Param.TransformInput.FilterBoxSize_x/2:-1/2+Param.TransformInput.FilterBoxSize_x/2];%
|
---|
| 53 | iy=[1/2-Param.TransformInput.FilterBoxSize_y/2:-1/2+Param.TransformInput.FilterBoxSize_y/2];%
|
---|
| 54 | %del=np/3;
|
---|
| 55 | %fct=exp(-(ix/del).^2);
|
---|
| 56 | fct2_x=cos(ix/((Param.TransformInput.FilterBoxSize_x-1)/2)*pi/2);
|
---|
| 57 | fct2_y=cos(iy/((Param.TransformInput.FilterBoxSize_y-1)/2)*pi/2);
|
---|
| 58 | %Mfiltre=(ones(5,5)/5^2);
|
---|
| 59 | Mfiltre=fct2_y'*fct2_x;
|
---|
| 60 | Mfiltre=Mfiltre/(sum(sum(Mfiltre)));%normalize filter
|
---|
| 61 |
|
---|
[928] | 62 | Afilt=filter2(Mfiltre,Data.A);% smooth the image, excluding the edges (spurious reflexions)
|
---|
[917] | 63 |
|
---|
[928] | 64 | %Afilt=filter2(Mfiltre,Data.A(100:end-100,100:end-100));% smooth the image, excluding the edges (spurious reflexions)
|
---|
| 65 | %Data.A= double(Data.A)-Afilt;
|
---|
[917] | 66 |
|
---|
[928] | 67 |
|
---|
| 68 |
|
---|
| 69 |
|
---|
| 70 | %
|
---|
[917] | 71 | Amax=max(max(Afilt));
|
---|
| 72 | Amin=min(min(Afilt));
|
---|
[928] | 73 | % Data.A( Data_1.A(100:end-100,100:end-100)==100)=(Amin+Amax)/2;
|
---|
| 74 |
|
---|
| 75 |
|
---|
| 76 |
|
---|
[917] | 77 | Athreshold=(Amin+Amax)*Param.TransformInput.LumThreshold;
|
---|
| 78 | %
|
---|
[928] | 79 | % Data.A=zeros(size(Data.A,1),size(Data.A,2),3);
|
---|
| 80 | Data.A=(Data.A>Athreshold);%transform to the initial image format
|
---|
| 81 | % Data.A(:,:,1)=Data.A;%transform to the initial image format, red
|
---|
| 82 | STATS = regionprops(Data.A, 'FilledArea','MinorAxisLength','MajorAxisLength','PixelIdxList');
|
---|
[917] | 83 | Area=zeros(size(STATS));
|
---|
| 84 | for iobj=1:numel(STATS)
|
---|
| 85 | Area(iobj)=STATS(iobj).FilledArea;
|
---|
| 86 | end
|
---|
[928] | 87 | [Area, main_obj]=max(Area)
|
---|
| 88 | MajorAxisLength=STATS(main_obj).MajorAxisLength;
|
---|
| 89 | MinorAxisLength=STATS(main_obj).MinorAxisLength;
|
---|
[917] | 90 | for iobj=1:numel(STATS)
|
---|
| 91 | if iobj~=main_obj
|
---|
[928] | 92 | Data.A(STATS(iobj).PixelIdxList)=0;
|
---|
[917] | 93 | end
|
---|
| 94 | end
|
---|
| 95 |
|
---|
[928] | 96 | Data.A=Amax*Data.A;
|
---|
[917] | 97 |
|
---|