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作 者:孙昊 杜宣 吕娜 崔斌 赵辉 SUN Hao;DU Xuan;LÜNa;CUI Bin;ZHAO Hui(Department of Instrument Science and Engineering,Shanghai Jiao Tong University,Shanghai 200240,China)
出 处:《Journal of Shanghai Jiaotong university(Science)》2023年第5期560-568,共9页上海交通大学学报(英文版)
基 金:the National Natural Science Foundation of China(Nos.51975374 and 61927822)。
摘 要:In the line structured light measuring system, the accuracy of the process of laser stripe directly affects the measurement results. Therefore, the extraction algorithm for the laser stripe, especially the surface with high reflection and high curvature, is very important. The imaging principle of line structured light, the light intensity distribution law of laser stripe and the extraction algorithm have been studied, and a stripe profile extraction method based on real light intensity distribution has been proposed. In this algorithm, fast region of interest extraction, stripe width estimation, and adaptive filtering on the striped image are performed. Then the energy center of the stripe at the sub-pixel level is extracted. Finally, the low-quality center points are eliminated, and the context information is used to recover the missing central points. Simulated images generated based on the imaging principle of line structured light and real experimental images were used to evaluate the accuracy and repeatability of the proposed method. The results show that the method behaves excellently at the edges of high-curvature stripes;the maximum error is only 1.6 pixels, which is 1/10 of the classic Steger algorithm;the experiment repeatability is only 8.8 μm, which is 2.7 times that of the Steger method. Therefore, the proposed method improves the accuracy of object contour extraction, and it is especially suitable for contour detection of objects with high curvature.
关 键 词:profile measurement line structured light profile extraction SUB-PIXEL high curvature
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