基于图像处理技术的油污干扰下硅钢片缺陷检测  

Defect Detection of Silicon Steel Strip Under Oil Pollution Disturbance Based on Image Processing Technology

作　　者：彭宽宽 龚时华[1] 王子悦[1] 李德龙[1] PENG Kuankuan;GONG Shihua;WANG Ziyue;LI Delong(School of Mechanical Science and Engineering,Huazhong University of Science and Technology,Wuhan 430074,China)

机构地区：[1]华中科技大学机械科学与工程学院

出　　处：《航空制造技术》2019年第20期77-82,共6页Aeronautical Manufacturing Technology

基　　金：国家科技重大专项(2009ZX04007–031–06);国家自然科学基金面上项目(51375192)

摘　　要：油污干扰下的硅钢片表面缺陷检测难点在于所获取的图片包含多种干扰信息。为了能够在检测到缺陷的同时去除干扰信息,提出了一种基于图像处理技术的无损检测方法。采用中值滤波配合维纳滤波抑制硅钢片表面的纹理干扰方法。然后连接并补全断开的油污轮廓边缘,获得油污区域掩膜去除油污边缘的干扰。再制作亮斑掩膜,去除油污表面亮斑边缘的干扰。最后仅留下缺陷边缘。经试验,该方法能够有效检测出油污干扰下的硅钢片表面缺陷,例如细小缺陷、表面刮伤和裂纹。The difficulty of surface defect detection of silicon steel strip under oil pollution is that the images obtained contain a variety of interference. In order to remove the interference while detecting defects, a nondestructive detection method based on image processing technology was proposed. Median filter and Wiener filter were employed to suppress the texture interference on the surface of silicon steel strip. Then the disconnected oil contour edge was connected and completed, after which oil pollution area mask was made to remove the interference of oil pollution edges. Bright spot mask was made to remove the interference of bright spot edge on oil surface. Finally, only the edge of the defect was left. Upon test, the method can effectively detect the surface defects of silicon steel strip under oil pollution interference, such as small defects, surface scratches and cracks.

关 键 词：图像处理 油污干扰 硅钢片缺陷 边缘断点连接 维纳滤波 中值滤波 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]