Abstract
In order to solve the problem of insufficient positioning accuracy in the detection process of ceramic filters, a high-precision positioning algorithm based on edge detection fitting is proposed. The algorithm combines hierarchical pyramid model to locate ceramic filter step by step and obtain ROI region. Secondly, according to the rough location results of the target area, combined with the improved Canny detection algorithm, the ceramic filter is sub-pixel extracted, and a hierarchical screening method is proposed to obtain the contour information of the circular hole, which improves the stability of the algorithm. The minimum circumscribed circle algorithm based on Tukey is used to fit the extracted sub-pixel contour by weight, and the center position of the circular hole is obtained. Finally, according to the geometric relationship between the center of the circular hole and the ceramic filter, the center coordinates and offset angle of the ceramic filter are solved. The results of the experiment demonstrate that the ceramic filter positioning algorithm described in this paper can accomplish accurate and precise positioning of ceramic filters, in which the center repeated positioning error is 1.86 pixels and the angle error is 0.1137°, which meets the requirements for the positioning accuracy of ceramic filters.
Fund project: Supported by Guangdong Basic and Applied Basic Research Founda-tion(2020A1515110121), State Key Laboratory of Robotics and System (HIT) (SKLRS-2022-KF-05).
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Zhu, Z., Long, Y., He, L., Lu, Y., Li, J., Guo, L. (2023). Research on Location Algorithm of 5G Ceramic Filter Based on Machine Vision. In: Yang, H., et al. Intelligent Robotics and Applications. ICIRA 2023. Lecture Notes in Computer Science(), vol 14272. Springer, Singapore. https://doi.org/10.1007/978-981-99-6480-2_49
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DOI: https://doi.org/10.1007/978-981-99-6480-2_49
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