An efficient algorithm for calculating Selective Correlation Coefficient (SCC) is proposed, which is expected as stable and robust for ill-conditions in imaging: illumination change, noise, and occlusion. The SCC is calculated through a masking operation based on Increment Sign Correlation which is efficient and robust for the ill- conditions. An SSDA algorithm and initial thresholding are introduced to remove redundant computation for obtaining much more efficiency. Through many experiments with real images, from twice to 150 times efficiency in comparison with CC and the original SCC could be obtained for ill-conditioned search problems.
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