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Defect identification on specular machined surfaces

机译:镜面加工表面上的缺陷识别

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摘要

In many industrial applications, it is important to identify defects on specular surfaces. On machined surfaces, defect identification may be further complicated by the presence of marks from a machining process. These marks may dramatically and unpredictably change the appearance of the surface, while not altering its ability to function. To differentiate between surface characteristics that constitute a defect and those that do not, we propose a system that directly illuminates specular machined surfaces with a programmable array of high-power light-emitting diodes that allows the angle of the incident light to be varied over a series of images. A reflection model is used to predict the reflected intensity as a function of incident lighting angle for each point on the imaged surface. A surface defect causes the observed reflected intensity as a function of incident lighting angle to differ from that predicted by the reflection model. Such differences between the observations and the reflection model are shown to identify surface defects such as porosities, dents and scratches in the presence of marks from the machining process.
机译:在许多工业应用中,识别镜面表面的缺陷非常重要。在加工表面上,由于加工过程中存在标记,缺陷识别可能会更加复杂。这些标记可能会显着且不可预测地改变表面的外观,而不会改变其功能。为了区分构成缺陷的表面特征和不构成缺陷的表面特征,我们提出了一种系统,该系统使用可编程阵列的高功率发光二极管直接照射镜面加工的表面,从而允许入射光的角度在系列图像。对于成像表面上的每个点,反射模型用于预测反射强度与入射照明角度的关系。表面缺陷导致观察到的反射强度随入射照明角度的变化而不同于反射模型所预测的强度。观察值和反射模型之间的这种差异显示为可以识别表面缺陷,例如在加工过程中存在标记的情况下出现的孔隙,凹痕和划痕。

著录项

  • 来源
    《Machine Vision and Applications》 |2014年第2期|377-388|共12页
  • 作者单位

    Department of Electrical and Computer Engineering, McMaster University, Hamilton, Canada;

    Department of Mechanical Engineering, McMaster University, Hamilton, Canada;

    Department of Electrical and Computer Engineering, University of Victoria, Victoria, Canada;

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

    Specular; Machined surface; Defect inspection; Porosity;

    机译:高光机加工表面;缺陷检查;孔隙率;

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