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Twin-illumination and Subtraction Technique for Detection of Concave and Convex Defects on Steel Pipes in Hot Condition

机译:双照明减法检测高温状态下钢管凹凸的缺陷

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摘要

In optical surface inspection of steel products under hot conditions, overdetection caused by signals from harmless surface such as scale texture pattern is usually a problem. Therefore, the authors proposed a new inspection technique called the "twin-illumination and subtraction technique," which is able to remove only harmless signals, based on the finding that most harmful defects on these products have concave shapes, whereas most harmless features that might be overdetected have flat or convex shapes. In this technique, an image in which the concave and convex parts are emphasized could be acquired from the difference between two images of the same position illuminated from two opposite directions. As an application of this technique, after laboratory tests to confirm its effectiveness, we conducted inline test for hot pipes which have poor surface. Although harmless signals from flat surfaces could be removed as expected, harmless signals from convex surfaces such as peeled scale and micro-surfaces which cause specular reflection conditions remained in addition to harmful signals from concave defects. To improve detectability, we introduced a discrimination method based on the characteristic bright/dark patterns of concave defects, a detection and decision tree judgment function using features from images. Based on the above, we constructed a prototype system which can obtain two images with a slight time difference by using strobes and dual CCD cameras. As a result, we have confirmed that the system has sufficient performance for prevention of massive rejects and is an effective technique for detection with poor surface.
机译:在高温条件下对钢铁产品进行光学表面检查时,通常会出现由无害表面信号(例如氧化皮纹理图案)引起的过检测。因此,作者提出了一种新的检查技术,称为“双照明和减法技术”,它基于发现这些产品上大多数有害缺陷具有凹形形状,而大多数无害特征可能会凹入的形状,因此只能去除无害信号。被过度检测的是平坦或凸起的形状。在该技术中,可以从从两个相反方向照亮的相同位置的两个图像之间的差异中获取强调了凹凸部分的图像。作为这项技术的一种应用,经过实验室测试以确认其有效性,我们对表面较差的热管进行了在线测试。尽管可以按预期去除来自平坦表面的无害信号,但是除了来自凹面缺陷的有害信号之外,还保留了来自凸表面(例如,剥落的鳞片和微表面)的无害信号,这些剥落的鳞片和微表面会引起镜面反射条件。为了提高可检测性,我们引入了基于凹缺陷的特征明暗模式的判别方法,基于图像特征的检测和决策树判断功能。基于上述内容,我们构建了一个原型系统,该系统可以通过使用频闪灯和双CCD摄像机来获得时间差很小的两个图像。结果,我们已经确认该系统具有防止大量次品的充分性能,并且是检测表面较差的有效技术。

著录项

  • 来源
    《ISIJ international》 |2019年第10期|1820-1827|共8页
  • 作者单位

    JFE Steel Corporation Cyber Physical System R&D Dept. 1-1 Minamiwatarita-cho Kawasaki-ku Kawasaki 210-0855 Japan;

    JFE Steel Corporation Safetey & Healte Sec. General Administration Dept. 1-1 Kawasaki-cho Handa Aichi 475-8611 Japan;

    JFE Steel Corporation Equipment & Engineering Sec. Planning Dept. 1-1 Kawasaki-cho Handa Aichi 475-8611 Japan;

    JFE Steel Corporation Research Planning & Administration Dept. 1 Kawasaki-cho Chuo-ku Chiba 260-0835 Japan;

    JFE Techno Research Corporation Keihin Office Sensing & Process Solution Division Senior Researcher 1-1 Minamiwatarita-cho Kawasaki-ku Kawasaki 210-0855 Japan;

    JFE Steel Corporation Cyber Physical System R&D Dept. 1-1 Minamiwatarita-cho Kawasaki-ku Kawasaki 210-0855 Japan;

    JFE Techno Research Corporation Keihin Office Sensing & Process Solution Division 1-1 Minamiwatarita-cho Kawasaki-ku Kawasaki 210-0855 Japan;

  • 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

    steel surface inspection; automated inspection; vision-based system; defect detection inspection;

    机译:钢表面检查;自动检查;基于视觉的系统;缺陷检测检查;

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