Image segmentation using statistical region merging
From the paper :
Nock, Richard and Nielsen, Frank 2004. Statistical Region Merging. IEEE Trans. Pattern Anal. Mach. Intell. 26, 11 (Nov. 2004), 1452-1458.
It uses an a disjoint-sets data structure with a union-find strategy: http://en.wikipedia.org/wiki/Disjoint-set_data_structure
Just run srmdemo.m !
Matlab implementation, Mex File is TODO
Cite As
Sylvain Boltz (2023). Image segmentation using statistical region merging (https://www.mathworks.com/matlabcentral/fileexchange/25619-image-segmentation-using-statistical-region-merging), MATLAB Central File Exchange. Retrieved .
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- Image Processing and Computer Vision > Image Processing Toolbox > Image Segmentation and Analysis > Image Segmentation > Color Segmentation >
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Acknowledgements
Inspired: FLICM_clustering( imgFileName, cNum, m, winSize, maxIter, thrE )
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Version | Published | Release Notes | |
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1.3.0.0 | corrected matlab warnings, as well as a bug that can appear on synthetic images. |
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1.2.0.0 | now with a parameter smallest_region_allowed=10; to filter out small regions at each scale |
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1.1.0.0 | Now supports multiscale segmentation |
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1.0.0.0 |