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Image segmentation using probabilistic fuzzy c-means clustering
Conference proceeding

Image segmentation using probabilistic fuzzy c-means clustering

T.D. Pham and IEEE
Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205), Vol.1, pp.722-725 vol.1
2001
DOI: https://doi.org/10.1109/ICIP.2001.959147

Abstract

Clustering algorithms Design automation Equations Image edge detection Image segmentation Iterative algorithms Merging Pixel Virtual colonoscopy Working environment noise
A new approach for gray-level image segmentation is presented using a probabilistic fuzzy c-means clustering algorithm. This approach combines the spatial probabilistic information and the fuzzy membership function in the clustering process. The proposed probabilistic fuzzy c-means method can deal effectively with image segmentation in a noisy environment.

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