How do I match clusters within an image to find copy-move forgery
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I am trying to implement this paper on copy-move forgery in matlab. I have created clusters using selected keypoints. And now I need to identify the matching clusters and mark them with each other . But I could not find any understandable method to match the clusters. It would be helpful if someone could advice me on this. As an example, I extracted and marked clusters in the below image
![](https://www.mathworks.com/matlabcentral/answers/uploaded_files/191145/image.png)
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Image Analyst
on 9 Jun 2018
The Computer Vision System Toolbox has SURF, which is like SIFT. You'll just have to figure out how to implement the paper with the function. See https://www.mathworks.com/help/vision/ug/local-feature-detection-and-extraction.html?searchHighlight=sift&s_tid=doc_srchtitle
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Image Analyst
on 9 Jun 2018
OK, good luck. If it ends up being too much work, maybe you can see if the authors will sell you their software that does it already, and save you a lot of time.
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