Optimization of Hough's algorithm based on ink layer detection

Meiou Wang; Shuqin Wu; Yanyan Zhuang; Kun Chang; Yiming Wang; Haohong Liu

doi:10.1117/12.2681905

16 June 2023 Optimization of Hough's algorithm based on ink layer detection

Meiou Wang, Shuqin Wu, Yanyan Zhuang, Kun Chang, Yiming Wang, Haohong Liu

Proceedings Volume 12639, Third International Conference on Mechanical Design and Simulation (MDS 2023); 1263915 (2023) https://doi.org/10.1117/12.2681905
Event: Third International Conference on Mechanical Design and Simulation (MDS 2023), 2023, Xi'an, China

Abstract

The current method of detecting ink layer thickness still has the disadvantages of slow speed, will produce wear and tear on the detection object, low accuracy, etc. For this reason, this paper proposes an optimized Hough algorithm detection method for the existing ink layer thickness detection method. Firstly, based on the triangular laser principle, the measurement image is captured by CMOS camera; secondly, the probabilistic Hough linear transformation algorithm based on vertical straight line is optimized; finally, the system calibration and accuracy measurement are completed. The maximum detection thickness of the algorithm optimization reaches 20 µm, and the detection accuracy is better than 3 µm, which verifies the feasibility of the algorithm optimization

Citation Download Citation

Meiou Wang, Shuqin Wu, Yanyan Zhuang, Kun Chang, Yiming Wang, and Haohong Liu "Optimization of Hough's algorithm based on ink layer detection", Proc. SPIE 12639, Third International Conference on Mechanical Design and Simulation (MDS 2023), 1263915 (16 June 2023); https://doi.org/10.1117/12.2681905

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