基于图象处理的冷轧带钢表面缺陷在线检测技术

ON-LINE INSPECTION OF SURFACE DEFECTS OF COLD ROLLED STRIPS BASED ON IMAGE PROCESSING

对光在不同钢板表面的反射性质进行了研究 ,在此基础上 ,提出了“明场方式”和“暗场方式”两种缺陷检测方式 ,“明场方式”可用于检测普碳钢表面的二维和三维缺陷 ,“暗场方式”可用于检测不锈钢表面的三维缺陷。对缺陷检测算法的流程进行了研究 ,提出了“实时处理”和“准时处理”两种数据处理方式 ,这两种方式应用于缺陷检测过程的不同步骤 。

The light reflectivity of different steel surfaces has been investigated.Two methods of surface defect detection are proposed.One is 'bright-field detection',which can be used to detect two-dimensional and three dimensional surface defects of common carbon steels.The other is 'dark-field detection',which can be used to detect three-dimensional surface defects of stainless steels.The algorithm of defect detection has been studied.Two ways of data processing are presented.One is'real-time processing',the other is 'just-in-time processing'.Different ways are used in different steps of defect detection,to meet real-time requirement for defect detection.