基于机器视觉的表面缺陷检测研究综述

表面缺陷是工业产品生产中不可避免的问题,如果不及时发现并处理,将会影响产品的表观质量及性能,导致企业生产效益下降。基于机器视觉的表面缺陷检测方法在一定程度上克服了传统人工检测方法的检测效率低、误检及漏检率高的问题,在现代化的工业生产中得到了广泛的应用。本文归纳总结了近年来机器视觉表面缺陷检测领域的研究成果,分析了国内外缺陷检测技术的研究现状,阐述了机器视觉缺陷检测系统的组成及工作原理,综述了视觉缺陷检测所涉及到的相关理论和应用方法,比较了主流机器视觉检测方法的优缺点,并指出了现有机器视觉缺陷检测技术存在的问题,对以后的发展趋势进行了展望。

Review of Surface Defect Detection Based on Machine Vision

Surface defect is an inevitable problem in the production of industrial products. If the surface defects are not found and handled in time, the apparent quality and performance of the product could be affected, resulting in the decline of production efficiency of enterprises. The surface defect detection method based on machine vision can overcome the problems of low detection efficiency, high false detection and missing detection rate of the traditional manual detection method. So it has been widely applied in the modern industrial production. In this work, by summarizing the research results in recent years, the research status of machine vision surface defect detection at home and abroad are analyzed. Besides, the composition and working principle of machine vision defect detection system are expounded, with the related theories and application methods involved in visual defect detection are reviewed. At the same time, the advantages and disadvantages of mainstream machine vision detection methods are compared. And based on the existing problems of machine vision defect detection technology, the development trend in the future is prospected.