How to extract features from segmented skin cancer images
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hamed abdulaziz
el 22 de Dic. de 2013
Comentada: narayana reddy
el 24 de Dic. de 2015
Hi all,
I have a data of melanoma images, I segmented them now I need to extract the following features from them :
1-Asymmetry feature 2-Color variation feature 3-Border feature 4-Diameter feature To use them in the ABCD rule for melanoma detection
Could anyone help me to do this job please? Or have a MATLAB code to calculate these features? Thanks in advance.
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hamed abdulaziz
el 22 de Dic. de 2013
2 comentarios
Image Analyst
el 22 de Dic. de 2013
Please stop creating additional "Answers" to your question that aren't really answers at all. If you have a comment to something someone wrote, make it a comment.
allAreas is a list of all the areas. If there are 10 blobs in your segmentation, then it's a 10 element vector. If there is 1 area, then it's just a single number.
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Image Analyst
el 22 de Dic. de 2013
There are a lot of algorithms here: http://iris.usc.edu/Vision-Notes/bibliography/medical899sk.html#Medical%20Applications%20--%20Skin%20Cancer,%20Melanoma,%20Skin%20Lesions Pick one and code it up. Once you've identified the cancer regions, you can do the ABCD measurements with standard image processing, like is shown in my Image Segmentation tutorial. http://www.mathworks.com/matlabcentral/fileexchange/?term=authorid%3A31862
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Image Analyst
el 22 de Dic. de 2013
hamed said this in an "Answer" which I moved here because it was not an answer but was a comment:
bw=im2bw(seg_image);
STATS = regionprops(bw, 'Area','BoundingBox');
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