首页 | 本学科首页   官方微博 | 高级检索  
     

基于扫描线的带钢低对比度缺陷图像分割技术
引用本文:彭铁根,何永辉,宗德祥,盛君龙. 基于扫描线的带钢低对比度缺陷图像分割技术[J]. 宝钢技术, 2008, 1(5)
作者姓名:彭铁根  何永辉  宗德祥  盛君龙
作者单位:宝钢研究院;宝信软件股份有限公司,上海,201900
摘    要:在带钢表面质量视觉检测过程中,一些低对比度缺陷图像应用梯度算子进行分割时,往往找不到图像中的缺陷,从而出现漏检的情况.为了改善带钢图像中低对比度缺陷的分割效果,提出了一种基于扫描线的阈值图像分割算法,该算法可以有效实现平整花、点划伤等低对比度缺陷的分割,同时也能较好地实现对其他缺陷的分割.

关 键 词:扫描线  缺陷分割  带钢  低对比度

Segmentation of Low Contrast Defect Images for Steel Strip Based on Scan Lines
Peng Tiegen,He Yonghui,Zong Dexiang,Sheng Junlong. Segmentation of Low Contrast Defect Images for Steel Strip Based on Scan Lines[J]. Baosteel Technology, 2008, 1(5)
Authors:Peng Tiegen  He Yonghui  Zong Dexiang  Sheng Junlong
Affiliation:Peng Tiegen1,He Yonghui1,Zong Dexiang1,Sheng Junlong2(1.Baosteel Research Institute,2.Shanghai Baosight Software Co.,Ltd.,Shanghai 201900,China)
Abstract:During the quality inspection of steel strip surface,some low contrast defect images cannot be found when the inspection system employs the grad operator to segment images.It would result in some undetected errors.In order to improve the segmentation result of low contrast defects,a method based on the threshold of the scan lines was proposed.Defects like unknit and dot scratches can be segmented effectively by this method.It is also useful for the segmentation of other defects.
Keywords:scan line  defect segmentation  steel strip  low contrast  
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号