Paper
14 October 2022 Line laser stripe center extraction method based on channel separation
Sheng Lin, Yunyong Cheng, Yiran Tian, Wenguang Ye, Hao Dou
Author Affiliations +
Proceedings Volume 12343, 2nd International Conference on Laser, Optics and Optoelectronic Technology (LOPET 2022); 1234320 (2022) https://doi.org/10.1117/12.2651114
Event: 2nd International Conference on Laser, Optics and Optoelectronic Technology (LOPET 2022), 2022, Qingdao, China
Abstract
Extracting the stripe center during the measurement process can significantly improve the measurement accuracy, and the optical stripe center extraction algorithm is an important factor determining the accuracy of the optical stripe contour location and extraction speed. For the traditional optical stripe center extraction method, because the ambient light conditions will affect the stripe center extraction under certain circumstances, the stripe center extraction often cannot accurately obtain the centerline, and to a certain extent, the extraction time of each algorithm is increased. In this paper, a line laser stripe center extraction method based on channel separation is proposed. The measured area is separated from the background area by the image segmentation algorithm, the Hessian matrix is obtained for each part of the measured area, and its normal direction is determined to obtain the sub-pixel stripe center, which can effectively avoid the problems of high light and certain brightness of the object, improve stripe center extraction speed and reduce stripe center noise.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Sheng Lin, Yunyong Cheng, Yiran Tian, Wenguang Ye, and Hao Dou "Line laser stripe center extraction method based on channel separation", Proc. SPIE 12343, 2nd International Conference on Laser, Optics and Optoelectronic Technology (LOPET 2022), 1234320 (14 October 2022); https://doi.org/10.1117/12.2651114
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KEYWORDS
Image segmentation

Image processing algorithms and systems

Algorithm development

Image processing

Convolution

Channel projecting optics

Feature extraction

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