Improved fuzzy clustering algorithm with non-local information for image segmentation

Fuzzy C-means(FCM) has been adopted to perform image segmentation due to its simplicity and efficiency. Nevertheless it is sensitive to noise and other image artifacts because of not considering spatial information. Up to now, a series of improved FCM algorithms have been proposed, including fuzzy l...

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Bibliographic Details
Published in:	Multimedia tools and applications Vol. 76; no. 6; pp. 7869 - 7895
Main Authors:	Zhang, Xiaofeng, Sun, Yujuan, Wang, Gang, Guo, Qiang, Zhang, Caiming, Chen, Beijing
Format:	Journal Article
Language:	English
Published:	New York Springer US 01.03.2017 Springer Nature B.V
Subjects:	Algorithms Clustering Computer Communication Networks Computer Science Damping Data Structures and Information Theory Image segmentation Multimedia Information Systems Noise Noise control Noise sensitivity Performance enhancement Pixels Spatial data Special Purpose and Application-Based Systems Non-local information Image segmentation Fuzzy clustering FLICM Pixel relevance
ISSN:	1380-7501, 1573-7721
Online Access:	Get full text
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