How to extract features from segmented skin cancer images
12 views (last 30 days)
Show older comments
hamed abdulaziz
on 22 Dec 2013
Commented: narayana reddy
on 24 Dec 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.
1 Comment
Accepted Answer
hamed abdulaziz
on 22 Dec 2013
2 Comments
Image Analyst
on 22 Dec 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.
More Answers (3)
Image Analyst
on 22 Dec 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
13 Comments
Image Analyst
on 22 Dec 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');
See Also
Categories
Find more on Biotech and Pharmaceutical in Help Center and File Exchange
Products
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!