Boundary encoding can be a key part of a content-based image retrieval (CBIR) system. An efficient algorithm is presented for approximation of image region boundaries by piecewise second-order B-spline curves. The algorithm first applies an adaptive low-pass filter to smooth the boundary while maintaining a specified tolerance of positional error. Next, critical points are identified and utilized to partition the boundary into segments. The algorithm then approximates each segment with a second-order B-spline that meets the error tolerance. This algorithm is much more efficient than previous methods. Experimental results are presented using various boundaries extracted from images.


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    Titel :

    Efficient region boundary approximation using adaptive smoothing and second-order B-splines


    Beteiligte:
    El Doker, T.A. (Autor:in) / Mlsna, P.A. (Autor:in)


    Erscheinungsdatum :

    01.01.2002


    Format / Umfang :

    304397 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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