21 May 2013 A fuzzy-logic based approach to color segmentation
Author Affiliations +
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.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Guoxin Zhao, Guoxin Zhao, Yunyi Li, Yunyi Li, Genshe Chen, Genshe Chen, Qinghao Meng, Qinghao Meng, Wei Li, 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


Back to Top