Gap estimation method for specular target based on binocular vision

Ye Li; Dongxue Li; Wenfei Gao; kaiseng Xu; Dangsheng Qing; Jinming Zhang; Hongyu Wang

doi:10.1117/12.2666688

4 April 2023 Gap estimation method for specular target based on binocular vision

Ye Li, Dongxue Li, Wenfei Gao, kaiseng Xu, Dangsheng Qing, Jinming Zhang, Hongyu Wang

Proceedings Volume 12617, Ninth Symposium on Novel Photoelectronic Detection Technology and Applications; 1261766 (2023) https://doi.org/10.1117/12.2666688
Event: 9th Symposium on Novel Photoelectronic Detection Technology and Applications (NDTA 2022), 2022, Hefei, China

Abstract

OSR is a photosensitive material commonly used in aerospace photovoltaic displays, and it is difficult to detect the quality of OSR sheets due to its extremely high specular reflectivity. The mirror target is a common target in industrial production, such as the patch on the surface of photovoltaic cells, and its compact and neat arrangement affects the photosensitive quality. Therefore, the automatic perception and measurement of its gap is of great significance. In this paper, the gap measurement method of specular target based on binocular vision is proposed by taking the gap of a high reflectivity OSR sheet as the measurement target. In this method, the binocular camera is first calibrated to determine the relative geometric position of the binocular camera and its structural parameters. Then, the Canny algorithm that uses bilateral filtering instead of Gaussian filtering extracts the edge information in the image, and the LSD straight line detection algorithm is used to extract the extracted edge information in a straight line. Finally, the parallax map or depth map is obtained through the parallax change of the binocular camera, the virtual point is synthesized, and the fixed height constraint binocular matching method and triangulation method are used to solve the periodic blurring problem of boundary registration, and the gap width of the high reflectivity specular target is calculated. Binocular visual quality inspection experiments were designed to verify the feasibility and practicability of the proposed method.

Citation Download Citation

Ye Li, Dongxue Li, Wenfei Gao, kaiseng Xu, Dangsheng Qing, Jinming Zhang, and Hongyu Wang "Gap estimation method for specular target based on binocular vision", Proc. SPIE 12617, Ninth Symposium on Novel Photoelectronic Detection Technology and Applications, 1261766 (4 April 2023); https://doi.org/10.1117/12.2666688

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KEYWORDS

Tunable filters

Cameras

Binocular vision

Detection and tracking algorithms

Image filtering

Edge detection

Gaussian filters

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