冷轧带钢表面缺陷的二级检测与快速判定方法研究  

Study on Two-stage Detection and Quick Recognition Method of Surface Defect of Cold Steel Strip

作　　者：王成明[1] 赵明皞[1] 穆用可[1] 张响[1] 

机构地区：[1]郑州大学机械工程学院,郑州450001

出　　处：《中原工学院学报》2011年第1期45-47,共3页Journal of Zhongyuan University of Technology

摘　　要：针对冷轧带钢表面缺陷图像采集计算量大、实时性强的特点,在提取灰度信息特征的基础上,采用二级检测的处理方法采集缺陷图像.实验验证结果表明:二级检测模式可以提高检测速度、缩短检测时间,具有良好的生产适应性.Aiming at the characteristic of vast calculated amount and high real time quality in image collecting of cold steel strip surface defect,based on the gray feature extraction,the two-stage detection method to defect image collecting are proposed.The experimental results show that two-stage detection pattern has a good adaptability on improving detection speed and shortening detection time.

关 键 词：冷轧带钢 表面缺陷 灰度 二级检测 

分 类 号：TG142.1[一般工业技术—材料科学与工程]