钢板表面质量机器视觉检测系统设计  

Design of Steel Plate Surface Quality Inspection System Based on Machine Vision

作　　者：王丹民[1] 康勇[2] 

机构地区：[1]中冶京诚工程技术有限公司,北京100176 [2]辽宁电力有限公司,辽宁沈阳110006

出　　处：《自动化仪表》2011年第3期44-46,共3页Process Automation Instrumentation

摘　　要：针对国内钢厂采用人工方法检查钢板表面缺陷存在可靠性差的问题,开发设计了基于机器视觉技术的带钢表面缺陷自动检测系统。系统通过摄像头采集带钢表面的图像,然后采用图像处理及模式识别算法对图像进行实时处理和分析,从而检测出钢板表面缺陷,并对缺陷进行自动分类识别。实验结果表明,系统能够对带钢表面进行实时在线监测,并能正确识别常见的带钢表面缺陷。At present,in domestic iron and steel plants,the manual inspection method for surface defects of the steel plates features poor reliability,thus the automatic detection system based on machine vision technology has been developed and designed.Through collecting the images of surface of steel strip by the cameras,then the images are processed and analyzed in real time with image processing and pattern identification algorithm for inspecting the defects in surface of the steel plate,and the defects are automatically classifying and identifying.The result indicates that the system can monitor the surface of the steel strip online in real time,and correctly identify the common surface defects of steel strips.

关 键 词：机器视觉 表面检测 带钢 表面缺陷 图像处理 

分 类 号：TG335.62[金属学及工艺—金属压力加工]