Hill-Climbing Color Image Segmentation
Version 1.0.0.0 (83.7 KB) by
YIQUN
color image segmentation using hill-climbing algorithm and kmeans in CIE Lab.
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29 Nov 2008
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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 (2024). Hill-Climbing Color Image Segmentation (https://www.mathworks.com/matlabcentral/fileexchange/22274-hill-climbing-color-image-segmentation), MATLAB Central File Exchange. Retrieved .
MATLAB Release Compatibility
Created with
R2007a
Compatible with any release
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- Image Processing and Computer Vision > Image Processing Toolbox > Image Segmentation and Analysis > Image Segmentation > Color Segmentation >
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Version | Published | Release Notes | |
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1.0.0.0 |