| 一种基于红外成像的强反射金属表面缺陷视觉检测方法 |
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| 引用本文： | 张学武,丁燕琼,闫萍.一种基于红外成像的强反射金属表面缺陷视觉检测方法[J].光学学报,2011(3):112-120. |
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| 作者姓名： | 张学武 丁燕琼 闫萍 |
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| 作者单位： | 河海大学计算机与信息学院; |
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| 基金项目： | 国家自然科学基金(60872096); 国家863计划(2007AA11Z227); 中央高校基本科研业务费专项资金(2009B31914)资助课题 |
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| 摘 要： | 根据红外成像特性及金属表面缺陷区域灰度分布变化缓慢的特点,提出了一种基于小波纹理特性统计分析的铜带表面缺陷视觉检测方法.利用CCD视觉传感器获取受检金属表面的红外影像资料,引入一阶Haar小波分解红外图像,抽取4个小波特性,然后分别使用Hotelling T2和X2多变量统计法融合4个小波特性.最后根据统计值判别图像是...
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| 关 键 词： | 机器视觉 缺陷检测 统计分析 强反射金属 红外成像 支持向量机 |
Vision Inspection of Metal Surface Defects Based on Infrared Imaging |
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| Zhang Xuewu Ding Yanqiong Yan Ping.Vision Inspection of Metal Surface Defects Based on Infrared Imaging[J].Acta Optica Sinica,2011(3):112-120. |
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| Authors: | Zhang Xuewu Ding Yanqiong Yan Ping |
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| Institution: | Zhang Xuewu Ding Yanqiong Yan Ping(College of Computer and Information Engineering,Hohai University,Nanjing,Jiangsu 210098) |
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| Abstract: | According to the characteristics of infrared imaging and the gradual change of intensity levels of metal surface defects,a vision inspection method for surface defects of metal based on statistically analyzing wavelet texture has been proposed.Firstly,the CCD sensors are used to obtain infrared video-data for surface of copper strips,and then the first-order Haar wavelet is used to decompose infrared image.Secondly,two multivariate statistical methods,including Hotelling T2 control chart and Chi square test... |
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| Keywords: | machine vision defect inspection statistical analysis strong reflection metal infrared imaging support vector machine |
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