what is the best way for thresholding this image .....please?
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i wrote this code {
img=imread(..........);
imshow(img);
medimage=medfilt2(img,[5 5]);%median Filtering image
figure,imshow(medimage);
z=adapthisteq(medimage);
figure,imshow(z);
H = fspecial('unsharp');
y=imfilter(z,H);
figure,imshow(y);
s=roipoly(y);
nnew=img.*cast(s,class(img));
figure,imshow(nnew);
}
the result was similar to this
how i can do thresholding to make the veins obvious with white color at a black background.
help please , i am really needs this? simple reply will be most suitable to me
i am just a new in the matlab world.
thanks
6 Commenti
David Young
il 25 Gen 2012
Thank you, that's helpful and I can see what your code so far does. However, with apologies, I have to tell you that the next step is not obvious - picking out the veins is a mini-project.
Risposte (1)
Image Analyst
il 25 Gen 2012
Did you already ask that and I answer that in http://www.mathworks.com/matlabcentral/answers/26663-adaptive-local-thresholding-for-gray-scale-image?
Did you search http://iris.usc.edu/Vision-Notes/bibliography/contentsmedical.html#Medical%20Applications,%20CAT,%20MRI,%20Ultrasound,%20Heart%20Models,%20Brain%20Models to find papers such at this: Garbey, M., Merla, A., Pavlidis, I., Estimation of blood flow speed and vessel location from thermal video, CVPR04(I: 356-363).
8 Commenti
Image Analyst
il 25 Gen 2012
It's not that you're annoying, it's more about aligning expectations. We can't do more than a few minutes of coding for you - we simply don't have the time to do lengthy, free, private consulting for anybody. For example if you need help with the adapthisteq() function, (which is the first step in adaptive local thresholding that you say you want to do - I've already mentioned that, did you try it?) we might be able to provide a demo beyond what the help does, if you provide an image. That would only be a few minutes work, not hours or days of work. So, now, let me see your adapthisteq() code and the results.
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