Improved FDCM in laser scanning inspection system for workpiece deformation

Yibin Huang, Yue Guo, Kui Yuan
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引用次数: 1

Abstract

Three-dimensional (3D) inspection based on machine vision is high-precision and efficient. In this paper, a laser scanning system using the triangulation measurement is designed to obtain dense point clouds of the workpiece surface, and the point clouds are projected to two-dimensional (2D) range images. Fast Directional Chamfer Matching (FDCM) is a reliable algorithm for object detection and localization, and it is improved to accelerate the time-consuming 3D registration. Although the author of FDCM greatly improved the directional chamfer matching, it remains very slow in practice. We mainly improved the line fitting process and distance transform in this algorithm, and they greatly accelerate the scanning process. Experimental results show that the scanning system with the improved algorithm can highlight the deformation of the workpiece in real time.
改进FDCM在激光扫描工件变形检测系统中的应用
基于机器视觉的三维检测精度高、效率高。本文设计了一种采用三角测量的激光扫描系统来获取工件表面的密集点云,并将点云投影到二维距离图像中。快速方向倒角匹配(FDCM)是一种可靠的目标检测和定位算法,并对其进行了改进,以加快耗时的三维配准速度。虽然作者提出的FDCM在很大程度上改善了方向倒角匹配,但在实际应用中速度仍然很慢。该算法主要对直线拟合和距离变换进行了改进,大大加快了扫描过程。实验结果表明,采用改进算法的扫描系统可以实时显示工件的变形。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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