general image segmentation
Versione 1.0.0 (1,85 KB) da
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.
Cita come
Christoph Rasche (2025). general image segmentation (https://it.mathworks.com/matlabcentral/fileexchange/72383-general-image-segmentation), MATLAB Central File Exchange. Recuperato .
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R2015a
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- Image Processing and Computer Vision > Image Processing Toolbox > Image Segmentation and Analysis > Image Segmentation >
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| Versione | Pubblicato | Note della release | |
|---|---|---|---|
| 1.0.0 |
