Effects of normalized cross correlation on defect detection
نویسندگان
چکیده
Normalized cross correlation (NCC) has been used extensively in machine vision for industrial inspection, but the traditional normalized correlation suffers from false alarms for the image that contains both complicated and uniform patterns in individual small regions. In this paper, we study the use of NCCs for defect detection in complicated images. The effect of NCCs in gray-level and color images, and the effect of image smoothing on the detection results are empirically evaluated. The proposed scheme can effectively alleviate false alarms in the implementation of NCC for defect detection.
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تاریخ انتشار 2003