基于单目结构光的形貌测量误差补偿方法研究* .txt
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中图分类号: TH741文献标识码: A国家标准学科分类代码: 4604035 .txt

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*基金项目:国家自然科学基金(51975169)、黑龙江省普通高校基本科研业务费专项资金(LGYC2018JC041)资助 .txt


Research on morphology measurement error compensation method based on the monocular structure light .txt
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    摘要:

    摘要:基于单目结构光的重构测量技术,因具有精度高、成本低等优点,在现代测量领域尤其是具有一定曲面特征的中小型低反光零部件测量方面得到广泛应用,而测量误差是测量精度的重要影响因素。首先,根据所搭建的单目结构光重构测量系统,对影响测量精度的主要误差来源进行分析,通过对硬件设备参数的合理设置与调节,来保证所采集结构光图片的质量。然后,为提高投影出结构光的正弦性,提出一种可降低普通投影仪gamma非线性响应的简易方法。最后,提出一种基于圆形标定板的张正友优化标定算法来提高系统的标定精度。实验结果表明,重构测量出的中小型曲面件表面点云数据的精度在03~06 mm之间,对被测物体表面的单次投影重构测量时间在2 min内,验证补偿方法有效可行。 .txt

    Abstract:

    Abstract:The reconstruction measurement technology based on monocular structured light is widely used in modern measurement field, especially in the measurement of small and mediumsized lowreflective parts with certain curved surface characteristics, due to its high accuracy and low cost. The measurement error is an important factor affecting measurement accuracy. Firstly, according to the constructed monocular structured light reconstruction measurement system, the main sources of errors affecting measurement accuracy are analyzed, and the quality of the collected structured light pictures is ensured through reasonable setting and adjustment of the parameters of the hardware equipment. Then, in order to improve the sinusoidal property of the projected structured light, a simple method to reduce the nonlinear gamma response of a common projector is proposed. Finally, a Zhang Zhengyou optimization calibration algorithm based on circular calibration plate is proposed to improve the calibration accuracy of the system. The experiment results show that the accuracy of reconstructing the measured point cloud data on the surface of small and mediumsized curved parts is between 03 and 06 mm, and the reconstruction measurement time of a single projection on the surface of the measured object is within 2 minutes, which verifies that the compensation method is effective and feasible. .txt

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李茂月,马康盛,许勇浩,王飞 . txt.基于单目结构光的形貌测量误差补偿方法研究* . txt[J].仪器仪表学报,2020,41(5):19-31

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  • 在线发布日期: 2022-03-01
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