Hill-Climbing Color Image Segmentation
color image segmentation using hill-climbing algorithm and kmeans in CIE Lab.
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Image is first converted to CIE lab color space and the 3d color histogram is generated. Hill-climbing algorithm is used to find the local maximums in lab histogram, which is used to automatically decide the cluster number K as well as initial seeds for K-means.
Cite As
YIQUN (2026). Hill-Climbing Color Image Segmentation (https://www.mathworks.com/matlabcentral/fileexchange/22274-hill-climbing-color-image-segmentation), MATLAB Central File Exchange. Retrieved .
General Information
- Version 1.0.0.0 (83.7 KB)
-
No License
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0.0 |
