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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    Titel :

    A fuzzy-logic based approach to color segmentation


    Beteiligte:
    Zhao, Guoxin (Autor:in) / Li, Yunyi (Autor:in) / Chen, Genshe (Autor:in) / Meng, Qinghao (Autor:in) / Li, Wei (Autor:in)

    Kongress:

    Sensors and Systems for Space Applications VI ; 2013 ; Baltimore,Maryland,USA


    Erschienen in:

    Erscheinungsdatum :

    2013-05-21





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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