Frontiers of Optoelectronics, Volume. 10, Issue 2, 151(2017)
Defect detection on button surfaces with the weighted least-squares model
Defect detection is important in quality assurance on production lines. This paper presents a fast machine-vision-based surface defect detection method using the weighted least-squares model. We assume that an inspection image can be regarded as a combination of a defect-free template image and a residual image. The defect-free template image is generated from training samples adaptively, and the residual image is the result of the subtraction between each inspection image and corresponding defect-free template image. In the weighted least-squares model, the residual error near the edge is suppressed to reduce the false alarms caused by spatial misalignment. Experiment results on different types of buttons show that the proposed method is robust to illumination vibration and rotation deviation and produces results that are better than those of two other methods.
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Yu HAN, Yubin WU, Danhua CAO, Peng YUN. Defect detection on button surfaces with the weighted least-squares model[J]. Frontiers of Optoelectronics, 2017, 10(2): 151
Category: RESEARCH ARTICLE
Received: Dec. 22, 2016
Accepted: Mar. 9, 2017
Published Online: Jan. 17, 2018
The Author Email: CAO Danhua (dhcao@hust.edu.cn)