This paper presents simulation results on the performance of similarity metrices for image matching. Specifically, matching and determining the transformation between slightly rotated images are addressed. The use of a correlation function and an error function as similarity metrices is reexamined when there is a coupling between translation and rotation. Sensitivity of these two metrices in the above context is compared. A hybrid iterative strategy is proposed based on the sensitivity analysis to enhance the matching accuracy.<>


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    Titel :

    Sensitivity analysis of similarity metrices for image matching


    Beteiligte:
    Malla, R. (Autor:in) / Devarajan, V. (Autor:in)


    Erscheinungsdatum :

    01.01.1994


    Format / Umfang :

    532812 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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