Kernel generalized fuzzy c-means clustering with spatial information for image segmentation

The generalized fuzzy c-means clustering algorithm with improved fuzzy partition (GFCM) is a novel modified version of the fuzzy c-means clustering algorithm (FCM). GFCM under appropriate parameters can converge more rapidly than FCM. However, it is found that GFCM is sensitive to noise in gray imag...

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Bibliographic Details

Published in:	Digital signal processing Vol. 23; no. 1; pp. 184 - 199
Main Authors:	Zhao, Feng, Jiao, Licheng, Liu, Hanqiang
Format:	Journal Article
Language:	English
Published:	Elsevier Inc 01.01.2013
Subjects:	Algorithms Clustering Fuzzy Fuzzy logic Fuzzy set theory Generalized fuzzy c-means clustering (GFCM) Image segmentation Kernel method Kernels Noise Spatial information Spatial information Image segmentation Generalized fuzzy c-means clustering (GFCM) Kernel method
ISSN:	1051-2004, 1095-4333
Online Access:	Get full text
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