21 May 2013 A fuzzy-logic based approach to color segmentation
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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.
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Guoxin Zhao, Yunyi Li, Genshe Chen, Qinghao Meng, Wei Li, "A fuzzy-logic based approach to color segmentation", Proc. SPIE 8739, Sensors and Systems for Space Applications VI, 873910 (21 May 2013); doi: 10.1117/12.2015199; https://doi.org/10.1117/12.2015199
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