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一种结合特征压缩提取和定向边缘点准则的大型零件测量方法。

A Measurement Method for Large Parts Combining with Feature Compression Extraction and Directed Edge-Point Criterion.

作者信息

Liu Wei, Zhang Yang, Yang Fan, Gao Peng, Lan Zhiguang, Jia Zhenyuan, Gao Hang

机构信息

Key Laboratory for Precision and Non-Traditional Machining Technology of the Ministry of Education, Dalian University of Technology, No. 2 LingGong Road, Dalian 116024, China.

出版信息

Sensors (Basel). 2016 Dec 26;17(1):40. doi: 10.3390/s17010040.

DOI:10.3390/s17010040
PMID:28035975
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5298613/
Abstract

High-accuracy surface measurement of large aviation parts is a significant guarantee of aircraft assembly with high quality. The result of boundary measurement is a significant parameter for aviation-part measurement. This paper proposes a measurement method for accurately measuring the surface and boundary of aviation part with feature compression extraction and directed edge-point criterion. To improve the measurement accuracy of both the surface and boundary of large parts, extraction method of global boundary and feature analysis of local stripe are combined. The center feature of laser stripe is obtained with high accuracy and less calculation using a sub-pixel centroid extraction method based on compress processing. This method consists of a compressing process of images and judgment criterion of laser stripe centers. An edge-point extraction method based on directed arc-length criterion is proposed to obtain accurate boundary. Finally, a high-precision reconstruction of aerospace part is achieved. Experiments are performed both in a laboratory and an industrial field. The physical measurements validate that the mean distance deviation of the proposed method is 0.47 mm. The results of the field experimentation show the validity of the proposed method.

摘要

大型航空零部件的高精度表面测量是高质量飞机装配的重要保障。边界测量结果是航空零部件测量的一个重要参数。本文提出了一种基于特征压缩提取和定向边缘点准则的航空零部件表面和边界精确测量方法。为提高大型零部件表面和边界的测量精度，将全局边界提取方法与局部条纹特征分析相结合。基于压缩处理的亚像素质心提取方法，以较少的计算量高精度地获取激光条纹的中心特征。该方法由图像压缩处理和激光条纹中心判断准则组成。提出了一种基于定向弧长准则的边缘点提取方法以获得精确边界。最后，实现了航空航天零部件的高精度重建。在实验室和工业现场都进行了实验。实际测量验证了该方法的平均距离偏差为0.47毫米。现场实验结果表明了该方法的有效性。

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