general image segmentation

Version 1.0.0 (1.85 KB) by Christoph Rasche
hierarchical image segmentation using 2-means clustering. low complexity.
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Updated 7 Aug 2019

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This is a procedure for general image segmentation using the k-means algorithm to decompose an image by recursively applying k-means with k=2. This 2-means decomposition finds any region that corresponds to a scene part, but it is also prone to over-segmentation.

Cite As

Christoph Rasche (2024). general image segmentation (https://www.mathworks.com/matlabcentral/fileexchange/72383-general-image-segmentation), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2015a
Compatible with any release
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Version Published Release Notes
1.0.0