计算机应用与软件2012，Vol.29Issue(2)：152-154,3.
基于机器视觉的工业产品表面缺陷检测算法研究
RESEARCH ON MACHINE VISION BASED INDUSTRIAL PRODUCT SURFACE DEFECT DETECTION ALGORITHM
摘要
Abstract
At present machine vision is more and more widely applied to industrial product defect detection. The paper studies and analyzes several frequently used non-texture image defect detection algorithms, combines defect features on the paper cup surface, and, targeting at template matching method, puts forward two improved methods, namely, statistical average shadow difference method and extensive gray scale correlation method. After analysis and comparison with tests, it is proven that the test results have achieved the desired effects.关键词
机器视觉/缺陷检测/模板匹配法/灰度相关法Key words
Machine vision/Defect detection/Template matching method/Cray scale correlation method分类
信息技术与安全科学引用本文复制引用
赵宇峰,高超,王建国..基于机器视觉的工业产品表面缺陷检测算法研究[J].计算机应用与软件,2012,29(2):152-154,3.基金项目
陕西省教育厅专项基金(09JK501). （09JK501）
