Accurate extraction of line-structured optical stripe centerlines under low exposure

Cheng Zhu; Keyun Tian; Yao Gao; Zhiqiang Ding

doi:10.1117/12.2691871

7 March 2024 Accurate extraction of line-structured optical stripe centerlines under low exposure

Cheng Zhu, Keyun Tian, Yao Gao, Zhiqiang Ding

Proceedings Volume 13086, MIPPR 2023: Pattern Recognition and Computer Vision; 130860A (2024) https://doi.org/10.1117/12.2691871
Event: Twelfth International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2023), 2023, Wuhan, China

Abstract

The line-structure light bar images acquired in industrial metal parts inspection may suffer from inaccurate extraction of the centerline of the line structure light bar due to the interference of ambient lighting and strong diffuse reflection and weak reflection of the part surface material. For this reason, this study proposes a method based on G-HL (Gauss-Hyper-Laplace Distribution) curve fitting to improve the center extraction accuracy of the line structure light bar in complex environments. First, the method uses Gaussian filtering to denoise the line-structured light image. Then, the laser line target pixel region is localized by finding the upper and lower boundaries of the line-structured light bar using the neighborhood gradient for each column of the line-structured light image, and the width of the line-structured light bar is calculated by the difference of the boundary coordinates, and the fitting interval is determined. Finally, within the fitting interval, the G-HL curve is used to fit the gray scale of the line-structured light cross-section to obtain the G-HL parameter, and the point of the maximum value of the G-HL curve is taken to be the coordinates of the center of the line-structured light. Experiments prove that the proposed method can accurately extract the center of the line structure light in low exposure. Compared with the methods such as the grayscale center of gravity method and the extreme value method, the proposed method has high accuracy and robustness.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Cheng Zhu, Keyun Tian, Yao Gao, and Zhiqiang Ding "Accurate extraction of line-structured optical stripe centerlines under low exposure", Proc. SPIE 13086, MIPPR 2023: Pattern Recognition and Computer Vision, 130860A (7 March 2024); https://doi.org/10.1117/12.2691871

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KEYWORDS

Image filtering

Tunable filters

Gaussian filters

Image processing

Structured light

Digital filtering

Feature extraction

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