general image segmentation
Version 1.0.0 (1.85 KB) by
Christoph Rasche
hierarchical image segmentation using 2-means clustering. low complexity.
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 (2026). general image segmentation (https://uk.mathworks.com/matlabcentral/fileexchange/72383-general-image-segmentation), MATLAB Central File Exchange. Retrieved .
MATLAB Release Compatibility
Created with
R2015a
Compatible with any release
Platform Compatibility
Windows macOS LinuxCategories
- Image Processing and Computer Vision > Image Processing Toolbox > Image Segmentation and Analysis > Image Segmentation >
Find more on Image Segmentation in Help Center and MATLAB Answers
Tags
Discover Live Editor
Create scripts with code, output, and formatted text in a single executable document.
| Version | Published | Release Notes | |
|---|---|---|---|
| 1.0.0 |
