How to evaluate image segmentation results?

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I am doing with some fuzzy c means clustering based image segmentation extension work. Can please any one put the idea how to do performance analysis with some parameter with new segmentation approach.

Accepted Answer

Image Analyst
Image Analyst on 17 Mar 2013
Have you tried tic and toc? Or the "Run and Time" tool on the "Home" tab?
  4 Comments
Tabish Raza
Tabish Raza on 17 Mar 2013
i am looking for some evaluation parameter like PSNR,IEF etc which best describe your image segmentation evaluation.
Image Analyst
Image Analyst on 17 Mar 2013
PSNR is not appropriate for determining how well a segmentation did it's job, neither is SSIM or any of those other image comparison or image quality metrics. Only you can decide if your algorithm got the parts of the image that you think it should have. For example you can use roipoly() and poly2mask() to create binary images that have the "absolutely correct" segmentation. Then see how many pixels match in your algorithm's answer and your hand drawn answer. Alternatively you can use some other algorithm that you trust, rather than hand drawing regions, and see how your new algorithm compares to the trusted algorithm. But either way you have to get the "true" binary image for each test image if you want to see how your new algorithm compares to the "gold standard, true" segmentation.

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More Answers (3)

Anand
Anand on 18 Mar 2013
Two of the standard metrics used for image segmentation are dice overlap coefficient and jaccard index. These metrics measure the similarity between your segmentation and the expected segmentation output. This ofcourse means that you will need a "ground truth" segmentation result to compare against.
I found the following link that explains them nicely:
  1 Comment
Image Analyst
Image Analyst on 18 Mar 2013
Yes, those were the kinds of things I was thinking of. Nice to see that someone has thought it out more thoroughly. Thanks for the link.

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Sara Fadhil
Sara Fadhil on 29 Nov 2020
i need math-lab code or the syntax for dice similarity coefficient,variation of information,universal quality index,global consistency error,compare image boundary error,Davis bound,Jacquard index......any one can help for this

Sara Fadhil
Sara Fadhil on 7 Dec 2020
Edited: Image Analyst on 7 Dec 2020
I need Jacquard index to evaulate image segmentation algorithm.
I need Jaccard similarity code to evaulate image segmentation algorithm.
  3 Comments
Sara Fadhil
Sara Fadhil on 8 Dec 2020
thank you but matlab R2017didnt work on my computer
Image Analyst
Image Analyst on 8 Dec 2020
Call them for free installation help if you can't launch your MATLAB release R2017 (or whatever version you have).

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