Abstract
Normalized cross correlation (NCC) has been used extensively for many machine vision applications , but the traditional normalized correlation operation does not meet speed requirements for time-critical applications. In this paper, we propose a fast NCC computation for defect detection . A sum-table scheme is utilized, which allows the calculations of image mean, image variance and cross-correlation between images to be invariant to the size of template window. For an image of size M × N and a template window of size m × n , the computational complexity of the traditional NCC involves 3· m · n · M · N additions/subtractions and 2· m · n · M · N multiplications. The required numbers of computations of the proposed sum-table scheme can be significantly reduced to only 18· M · N additions/subtractions and 2· M · N multiplications.
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