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
2018-6-9
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
2018-6-9
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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