Paper
25 October 2004 An automatic inspection of SMT rectangular chips based on PCA algorithm
Kyung Cheol Koh, Kuk Won Ko, Byoung-Wook Choi, Jong Hyeong Kim, Hyung Suck Cho
Author Affiliations +
Proceedings Volume 5603, Machine Vision and its Optomechatronic Applications; (2004) https://doi.org/10.1117/12.573592
Event: Optics East, 2004, Philadelphia, Pennsylvania, United States
Abstract
In this paper, we present a practical approach to automatic visual inspection of SMT PCBs. There are thousands of chip components mounted on the notebook SMT PCB. The images of those chip components could not be exactly same due to the variance of shift, orientation, scale, and illumination condition. Even so, we could not memorize all kinds of inspection reference values for the different conditions. Most of inspection algorithms with fixed window template such as template matching, Fourier analysis, OCR, etc., do not show good performance for images with shifted, oriented, scaled, and variable illumination conditions. We propose a practical automatic inspection method of SMT rectangular chips; correcting the image variance of shift, orientation, and scale with practical speed, and updating the decision reference values in the inspection process. The performance of the proposed method is tested on numerous samples of rectangular chips on SMT PCB.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Kyung Cheol Koh, Kuk Won Ko, Byoung-Wook Choi, Jong Hyeong Kim, and Hyung Suck Cho "An automatic inspection of SMT rectangular chips based on PCA algorithm", Proc. SPIE 5603, Machine Vision and its Optomechatronic Applications, (25 October 2004); https://doi.org/10.1117/12.573592
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Cited by 4 scholarly publications.
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KEYWORDS
Inspection

Calibration

Principal component analysis

Image processing

Statistical analysis

Optical inspection

Detection and tracking algorithms

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