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This code is a self explanatory implementation of graph cut segmentation using normalized cuts on gray-scale images as described in Shi, Jianbo, and Jitendra Malik. "Normalized cuts and image segmentation." Pattern Analysis and Machine Intelligence, IEEE Transactions on 22.8 (2000): 888-905.
The code includes bi-partitioning as well as k-simultaneous partitioning. I've included comments to assist the user in understanding and manipulating the code.
Cite As
Mohamed Athiq (2026). Gray-scale image segmentation using normalized graphcuts (https://www.mathworks.com/matlabcentral/fileexchange/41526-gray-scale-image-segmentation-using-normalized-graphcuts), MATLAB Central File Exchange. Retrieved .
General Information
- Version 1.0.0.0 (236 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0.0 |
