Restoration and segmentation of images by using binding processes

Hiroyuki Matsunaga, Kiichi Urahama

    Research output: Contribution to journalArticlepeer-review


    The method of restoration and segmentation of images by using the binding process is proposed. The restored images can keep edges. The binding process uses the relative line process. The binding method can restore multiscale image by the change of a parameter or by the use of diffusion equations. The expansion to impulse noise elimination and application to the restoration and segmentation of sparse data are shown. The advantages of the method over the line processing method are: (1) an invariable result is obtained over a wide range of scale of gray level (2) the segmentation is obtained directly (3) easy elimination of impulse noise, and (4) applicability to the segmentation of sparse data such as dot patterns.

    Original languageEnglish
    Pages (from-to)79-85
    Number of pages7
    JournalSystems and Computers in Japan
    Issue number4
    Publication statusPublished - Jan 1 1998

    All Science Journal Classification (ASJC) codes

    • Theoretical Computer Science
    • Information Systems
    • Hardware and Architecture
    • Computational Theory and Mathematics


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