Open AccessMulti-view based template matching method for surface defect detection of circuit board
Author(s) -
Junyu Zhou,
Yaowen Liu,
Zhang Xue-liang,
Zhiming Yang
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1983/1/012063
Subject(s) - matching (statistics) , printed circuit board , computer science , image (mathematics) , template matching , on board , electronic circuit , false alarm , property (philosophy) , artificial intelligence , alarm , pattern recognition (psychology) , computer vision , engineering , mathematics , electrical engineering , statistics , philosophy , epistemology , aerospace engineering , operating system
In order to avoid defects (e.g. dust, scratch, static electricity) caused by manual detection, this research proposes a non-contact defect detection approach for circuit board through use of template matching method. In the proposed approach, images of both circuit board to be detected and circuit board selected as template are obtained respectively from multiple views. Then defect index (DI) of each view is constructed based on corresponding matching results between the image to be detected and the template image. Finally, total defect index is obtained by integrating all DI from multiple views, which can characterize the existence of defects in the circuit board (e.g. lack or wrong installation of components). The proposed approach is experimentally investigated to detect two surface defects on a circuit board. Results show that the two defects can be accurately detected with no false alarm by use the proposed method.