I want to extract object from an image using the following threshold value program how can i use a filter to get the good result.
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a=imread('a6.jpg');
m=ones(600,800,3);
c=255.*m;
e=ones(600,800,3)
for i=1:600;
for j=1:800;
if a(i,j,1)<100
if a(i,j,1)>55
c(i,j,1)=a(i,j,1);
if a(i,j,2)<104
if a(i,j,2)>75
c(i,j,2)=a(i,j,2);
if a(i,j,3)<90
if a(i,j,3)>56
c(i,j,3)=a(i,j,3);
end
end
end
end
end
end
end
end
e=c./255;
colormap(jet);
image(e);
...
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回答 (1 件)
Image Analyst
2013 年 11 月 25 日
You cannot get it from thresholding or even combined with texture classification. There is just too much higher level knowledge required. Maybe try this: http://www.mathworks.com/matlabcentral/fileexchange/37197-dem-diffused-expectation-maximisation-for-image-segmentation or similar. But even that won't be perfect. I suggest you use ginput or roipoly to manually locate them (unless you have thousands of images).
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