Detection algorithm of hole position and normal based on template matching

被引：0

作者：

Zhuang Z. ^{[1
]}

Tian W. ^{[1
]}

Li B. ^{[1
]}

Shi H. ^{[1
]}

Du X. ^{[2
]}

机构：

[1] College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics & Astronautics, Nanjing

[2] Beijing Spacecrafts Co., Ltd., China Academy of Space Technology, Beijing

来源：

Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS | 2021年 / 27卷 / 12期

关键词：

2D laser scanning; Hole position and normal detection; Regions of interest; Template construction; Template matching;

D O I：

10.13196/j.cims.2021.12.010

中图分类号：

学科分类号：

摘要：

Aiming at the problem that the traditional edge-detection-based technology of hole recognition and location was not applied to grid-like surface, a template-matching-based algorithm for detecting the hole position and normal was proposed. The principle of measuring 3D point cloud by laser-line profile sensor was introduced. An improved median filter operator was used to remove outliers at the edge of the hole, and the 3D space point cloud was converted into a 2D plane point cloud by binarization. The hole was identified and located in 2D plane through template matching and division of Regions of Interest (ROI), and the location and normal of the hole were calculated indirectly based on the point cloud of hole neighborhood. In the template matching algorithm, the template of the hole was adaptively constructed according to the point cloud characteristics and the given aperture, which ensured the applicability of the algorithm on inclined planes and small curvature surfaces. The effectiveness and accuracy of the proposed algorithm were verified by experiments, which showed that the hole measurement accuracy was better than 0.12mm. © 2021, Editorial Department of CIMS. All right reserved.

引用

页码：3484 / 3493

页数：9

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