Experimental Comparison of Correlation Techniques

نویسندگان

  • Jérôme Martin
  • James L. Crowley
چکیده

This paper presents an experimental comparisons of different forms of SSD and normalised cross correlation of image neighborhoods. Signal detection theory is used as a framework for analysis of correlation techniques. A sum of squared difference (SSD) of two image neighborhoods is shown to provide an optimal matching measure for tracking and registration. Correlation of the image, its gradient magnitude or its Laplacian are discussed. The relations between SSD and Cross Correlation are demonstrated, and different normalisation techniques are described. An experimental comparison is made of SSD, Normalized Cross Correlation, and Zero-Mean normalised cross correlation, in the presence of changes in light level, additive Gaussian noise, salt and pepper noise, and changes in the mask size.

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تاریخ انتشار 1995