...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>ISIJ international >A Fast Detection Method for Region of Defect on Strip Steel Surface
【24h】

A Fast Detection Method for Region of Defect on Strip Steel Surface

机译：带钢表面缺陷区域的快速检测方法

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

In order to meet the increasing demands of high efficiency and accuracy for strip steel production line, a fast detection method for region of defect (ROD) on strip steel surface is proposed in this paper. Firstly, the efficiency requirement of ROD detection algorithm is described. Secondly, mean filter improved in speed is used to filter noise. Then, five statistical projection features are extracted from detection region on surface image. Finally, based on distinct feature vector dataset, extreme learning machine (ELM) classifier, region of background (ROB) pre-detection and classifiers selection are combined together to realize two-class classification of ROD and ROB. Experimental results show that the novel method proposed in this paper not only is of high detection accuracy and efficiency but also can satisfy on-line ROD detection.
机译：为了满足带钢生产线对高效率和高精度的日益增长的需求，提出了一种快速检测带钢表面缺陷区域（ROD）的方法。首先，描述了ROD检测算法的效率要求。其次，使用速度提高的平均滤波器来滤除噪声。然后，从表面图像上的检测区域提取五个统计投影特征。最后，基于不同的特征向量数据集，将极限学习机（ELM）分类器，背景区域（ROB）预检测和分类器选择结合在一起，实现了ROD和ROB的两类分类。实验结果表明，本文提出的新方法不仅具有较高的检测精度和效率，而且可以满足在线ROD检测。

著录项

  • 来源
    《ISIJ international》 |2015年第1期|207-212|共6页
  • 作者

    Rongfen GONG; Maoxiang CHU; Anna WANG; Yonghui YANG;

  • 作者单位

    School of Electronic and Information Engineering, University of Science and Technology Liaoning, Gaoxin District, Anshan, 114051 China;

    School of Electronic and Information Engineering, University of Science and Technology Liaoning, Gaoxin District, Anshan, 114051 China;

    College of Information Science and Engineering, Northeastern University, Heping District, Shenyang, 110819 China;

    School of Electronic and Information Engineering, University of Science and Technology Liaoning, Gaoxin District, Anshan, 114051 China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    strip steel surface; defect detection system; ROD; statistical projection features; ELM;

    机译：带钢表面;缺陷检测系统;竿;统计投影特征;榆树;

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号