Pattern matching algorithm uses the pixel intensity information as the primary feature for matching. As an alternative, geometric matching uses boundary edges to characterize the shape of an object and then uses this characterization to search for similar shapes. This chapter explains the use of Vision Assistant Express for geometric matching in detail. To use the geometric matching method, the object and background should be distinguishable by sharply contrasting regions in order to accurately determine the boundary of the object. The boundary shape information of the objects is compared with that of an object in a template image to determine similarity. If the edge of the boundary is not sharp, pattern matching is recommended. An advantage of geometric matching is that it can find matching objects regardless of shifting, rotating, scaling, and even occlusion. Geometric matching can be used in the following applications: gauging, inspection, alignment, and sorting.


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    Titel :

    Geometric Matching


    Beteiligte:
    Kwon, Kye‐Si (Herausgeber:in) / Ready, Steven (Herausgeber:in)


    Erscheinungsdatum :

    2014-12-08


    Format / Umfang :

    16 pages




    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Geometric Blur and Template Matching

    Berg, A. C. / Malik, J. / IEEE | British Library Conference Proceedings | 2001


    Geometric blur for template matching

    Berg, A.C. / Malik, J. | IEEE | 2001


    Polynomial-Time Geometric Matching for Object Recognition

    Cass, T. A. | British Library Online Contents | 1997