An improved K-means clustering algorithm for fish image segmentation

Fish contour extraction from images is the foundation of many fish image applications such as disease early warning and diagnostics, animal behavior, aquatic product processing, etc. In order to improve the accuracy and stability of fish image segmentation, we propose a new fish images segmentation...

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Bibliographic Details

Published in:	Mathematical and computer modelling Vol. 58; no. 3-4; pp. 784 - 792
Main Authors:	Yao, Hong, Duan, Qingling, Li, Daoliang, Wang, Jianping
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.08.2013
Subjects:	[formula omitted]-means clustering algorithms animal behavior computer techniques Contour extraction decision making diagnostic techniques fish Image segmentation mathematical models Mathematical morphology Image segmentation Contour extraction Mathematical morphology K-means clustering
ISSN:	0895-7177, 1872-9479
Online Access:	Get full text
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