Image segmentation based on fuzzy clustering with cellular automata and features weighting

Image segmentation based on fuzzy clustering with cellular automata and features weighting

Abstract Aiming at the sensitivity of fuzzy C-means (FCM) method to the initial clustering center and noise data, and the single feature being not able to segment the image effectively, this paper proposes a new image segmentation method based on fuzzy clustering with cellular automata (CA) and feat...

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Bibliographic Details
Main Authors: Chengfan Li, Lan Liu, Xiankun Sun, Junjuan Zhao, Jingyuan Yin
Format: Article
Language:English
Published: SpringerOpen 2019-02-01
Series:EURASIP Journal on Image and Video Processing
Subjects:
Cellular automata (CA)
Features weighting
Fuzzy clustering
Image segmentation
Satellite remote sensing
Online Access:http://link.springer.com/article/10.1186/s13640-019-0436-5

Internet

http://link.springer.com/article/10.1186/s13640-019-0436-5

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