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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    Title :

    Sensitivity analysis of similarity metrices for image matching


    Contributors:
    Malla, R. (author) / Devarajan, V. (author)


    Publication date :

    1994-01-01


    Size :

    532812 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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