Abstract
The normalized correlation matching is often applied to image processing for alignment, measurement and inspection of electrical components in the manufacturing lines. In the normalized correlation matching, a template image is set by the manual operation before the matching process. Namely, the contents and the size of a template image are determined by the human sense. This paper proposes a method to perform a high-speed normalized correlation matching by extracting a partial template area automatically that is effective in the image matching. A partial template area is extracted in order to keep the reliability of the matching using the genetic algorithm. The experimental results show that the partial template area including an image pattern that was useful for the matching was extracted by the proposed method and the processing time for image matching was reduced to 8.9%.
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