基于机器视觉的尺寸测量应用综述

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英文篇名：Review of Dimesion Measurement Based on Machine Vision 作者：韩茜茜 ; 耿世勇 ; 路向阳 英文作者：HAN Xixi;GENG Shiyong;LU Xiangyang;School of Electronic and Information, Zhongyuan University of Technology; 关键词：机器视觉 ; 尺寸测量 ; 研究现状 ; 测量精度 英文关键词：machine vision;;dimension measurement;;research status;;measurement accuracy 中文刊名：HNKJ 英文刊名：Henan Science and Technology 机构：中原工学院电子信息学院; 出版日期：2019-02-15 出版单位：河南科技 年：2019 期：No.667 基金：河南省重点科研项目(17A413013、18A510022) 语种：中文; 页：HNKJ201905008 页数：3 CN：05 ISSN：41-1081/T 分类号：12-14

摘要

随着机器视觉技术的不断发展以及工业智能化水平的不断提高,将机器视觉应用于尺寸测量中成为尺寸测量的发展趋势。本文首先阐述了机器视觉的特点及方法研究,介绍了机器视觉尺寸测量系统的硬件部分主要由计算机、光源、图像传感器、镜头以及被测对象等组成,软件部分主要由图像预处理、图像滤波、边缘检测等图像处理算法组成,然后分析了国内外的研究现状以及机器视觉测量技术的发展趋势,指出从软件算法入手,不断开发更优的图像处理算法,使图像处理及分析每个流程所涉及的算法的准确性及鲁棒性更高。
        With the continuous development of machine vision technology and the continuous improvement of industrial intelligence level, the application of machine vision in dimension measurement has become the development trend of dimension measurement. Firstly, this paper expounded the characteristics and methods of machine vision, introduced that the hardware part of machine vision size measurement system was mainly composed of computer, light source, image sensor, lens and the object under test, and the software part was mainly composed of image preprocessing, image filtering, edge detection and other image processing algorithms. Then, it analysed the research status at home and abroad and machine vision. The development trend of perceptual measurement technology was pointed out.Beginning with software algorithms, better image processing algorithms were constantly developed to improve the accuracy and robustness of the algorithms involved in image processing and analysis of each process.

引文

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