基于双目视觉的L型板几何参数测量研究

doi:10.16039/j.cnki.cn22-1249.2022.03.016

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摘要

机器视觉在智能制造领域应用越来越广。文章提出一种基于双目视觉模型对L型板几何参数测量的方法。首先对双目相机标定，获取内外参数，然后对比边缘检测算法，采用Sobel算法对L型板图像进行处理，最后基于三角测量原理提取工件特征点的三维坐标，计算出L型板的几何参数。实验表明，该算法测量误差低，能够满足实际需求。

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	周海宇
	刘兴德
	蔚芳鑫
	卢添烨
	刁建超

关键词: 双目视觉相机标定 Sobel算法几何参数测量

Abstract:

Machine vision enjoys increasingly wide application in intelligent manufacturing. This paper introduces a method for measurement of geometric parameters of L-shaped plate based on binocular vision model. First, the intrinsic and extrinsic parameters are obtained after calibration of the binocular camera| then, compared with the edge detection algorithm, the image of the L-shaped plate is processed with Sobel algorithm| in the end, based on triangulation theory, the three-dimensional coordinates of the feature points of the workpiece are extracted to work of the geometric parameters of the L-shaped plate. According to the experiment, the algorithm is of small measurement error and is able to meet the actual needs.

Key words: binocular vision camera calibration Sobel algorithm geometric parameter measurement

出版日期: 2022-03-25 发布日期: 2022-03-25 整期出版日期: 2022-03-25

ZTFLH:

TP391.41

引用本文:

周海宇 , 刘兴德 , 蔚芳鑫 , 卢添烨 , 刁建超. 基于双目视觉的L型板几何参数测量研究 [J]. 吉林化工学院学报, 2022, 39(3): 83-87.
ZHOU Haiyu, LIU Xingde, YU Fangxin, LU Tianye, DIAO Jianchao. Research on geometric parameter measurement of L-shaped plate based on binocular vision . Journal of Jilin Institute of Chemical Technology, 2022, 39(3): 83-87.

链接本文:

http://xuebao.jlict.edu.cn/CN/10.16039/j.cnki.cn22-1249.2022.03.016 或 http://xuebao.jlict.edu.cn/CN/Y2022/V39/I3/83

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