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Proceedings Paper

A fuzzy-logic based approach to color segmentation
Author(s): Guoxin Zhao; Yunyi Li; Genshe Chen; Qinghao Meng; Wei Li
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Paper Abstract

This paper presents a fuzzy based approach to segmenting color images in three steps. First, we discuss a fuzzy color extractor to extract fuzzy color components. Second, we present techniques for iteratively generating reference patterns (seeds) to extract color components. Finally, we use the region growing method to check connectivity of segmented subimages. Different from the existing color segmentation methods that provide a crisp segmentation of color images, the proposed approach herein generates a fuzzy color segmentation which classifies the same pixel into several fuzzy sets. As an example, we apply the proposed approach to segment the chemical plumes from images taken in undersea environments.

Paper Details

Date Published: 21 May 2013
PDF: 7 pages
Proc. SPIE 8739, Sensors and Systems for Space Applications VI, 873910 (21 May 2013); doi: 10.1117/12.2015199
Show Author Affiliations
Guoxin Zhao, Tianjin Univ. (China)
Yunyi Li, California State Univ., Bakersfield (United States)
Genshe Chen, Intelligent Fusion Technology, Inc. (United States)
Qinghao Meng, Tianjin Univ. (China)
Wei Li, Tianjin Univ. (China)
California State Univ., Bakersfield (United States)


Published in SPIE Proceedings Vol. 8739:
Sensors and Systems for Space Applications VI
Khanh D. Pham; Joseph L. Cox; Richard T. Howard; Genshe Chen, Editor(s)

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