The degradation in acquisition probability that occurs when cross correlation is used to determine the offset of two images of the same scene that differ by a relative geometric distortion is presented. The geometric distortions considered can be represented by a general affine transformation of image coordinates. The analysis shows that for a given geometric distortion there is an image size and shape that minimizes the probability of false acquisition. The results are derived for images modeled as random patterns with arbitrary auto-correlation functions. The results are illustrated for images with Gaussian autocorrelation functions.


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    Title :

    Image Correlation with Geometric Distortion Part 1: Acquisition Performance


    Contributors:

    Published in:

    Publication date :

    1978-05-01


    Size :

    1195258 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English







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    Lucchese, L. / Mitra, S. K. / IEEE | British Library Conference Proceedings | 2003