Research on printed circuit board inspection based on genetic simulated annealing algorithm

An experimental comparative analysis of the classic traditional edge detection operators was conducted. The 8-direction Sobel operator was used to improve the genetic simulated annealing algorithm, and the algorithm was applied to the silk screen detection of printed circuit boards; Finally, through the detection of white characters on printed circuit boards of different sizes, analyze test results. The results show that the improved genetic simulated annealing algorithm has high efficiency and accuracy in the white text detection process of printed circuit boards.

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Publication Details

Published
2024-11-08
DOI
https://doi.org/10.1117/12.3049653
Primary Topic
Industrial Vision Systems and Defect Detection
Type
article
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article

Research on printed circuit board inspection based on genetic simulated annealing algorithm

S. P. Wen, Bintao Wang, Juan Su, Zong-Zhe Du
Industrial Vision Systems and Defect Detection
article

Research on printed circuit board inspection based on genetic simulated annealing algorithm

S. P. Wen, Bintao Wang, Juan Su, Zong-Zhe Du
article en

Abstract

An experimental comparative analysis of the classic traditional edge detection operators was conducted. The 8-direction Sobel operator was used to improve the genetic simulated annealing algorithm, and the algorithm was applied to the silk screen detection of printed circuit boards; Finally, through the detection of white characters on printed circuit boards of different sizes, analyze test results. The results show that the improved genetic simulated annealing algorithm has high efficiency and accuracy in the white text detection process of printed circuit boards.

Xi'an Shiyou University (CN)
Openalex Percentile: Top 71%
Industrial Vision Systems and Defect Detection
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