Edge detection is analyzed as a problem in cost minimization. A cost function is formulated that evaluates the quality of edge configurations. A mathematical description of edges is given, and the cost function is analyzed in terms of the characteristics of the edges in minimum-cost configurations. The cost function is minimized by the simulated annealing method. A novel set of strategies for generating candidate states and a suitable temperature schedule are presented. Sequential and parallel versions of the annealing algorithm are implemented and compared. Experimental results are presented.<>


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    Titel :

    A cost minimization approach to edge detection using simulated annealing


    Beteiligte:
    Tan, H.L. (Autor:in) / Gelfand, S.B. (Autor:in) / Delp, E.J. (Autor:in)


    Erscheinungsdatum :

    01.01.1989


    Format / Umfang :

    491214 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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