Image processing based on percolation model

Tomoyuki Yamaguchi*, Shuji Hashimoto

*この研究の対応する著者

    研究成果: Article査読

    34 被引用数 (Scopus)

    抄録

    This paper proposes a novel image processing method based on a percolation model. The percolation model is used to represent the natural phenomenon of the permeation of liquid. The percolation takes into account the connectivity among the neighborhoods. In the proposed method, a cluster formation by the percolation process is performed first. Then, feature extraction from the cluster is carried out. Therefore, this method is a type of scalable window processing for realizing a robust and flexible feature extraction. The effectiveness of proposed method was verified by experiments on crack detection, noise reduction, and edge detection.

    本文言語English
    ページ(範囲)2044-2052
    ページ数9
    ジャーナルIEICE Transactions on Information and Systems
    E89-D
    7
    DOI
    出版ステータスPublished - 2006 7

    ASJC Scopus subject areas

    • 情報システム
    • コンピュータ グラフィックスおよびコンピュータ支援設計
    • ソフトウェア

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