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首页> 外文会议>Conference on Machine Vision Applications in Industrial Inspection Ⅹ Jan 21-22, 2002, San Jose, USA >Machine Vision prototype for defect detection on metallic tubes
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Machine Vision prototype for defect detection on metallic tubes

机译：用于金属管缺陷检测的Machine Vision原型

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Metallurgy Industry which mainly changes the steel or its derivative products into products with either better surface properties (thanks to the surface transformations....), or into different shape products (lamination...), involves some processing tools which can generate flaws (cracks, grooves...) within the process. Prior to this study the laminated tubes, recipient for the uranium inside the nuclear reactor, where visually inspected after the lamination process. According to the quality estimation of the tube, subjectively done by the operator (between 1 and 4), the process was possibly stopped ( grade 4). In order to have a more objective control of the tube, a machine vision set-up was developed. The primary goal of this prototype is to provide a view of the whole surface of the tube to the operator. Various lighting systems where tested so as to reveal the maximum number of defect (t6ol marks, scratches, ....). The tube surface being not even (rough), we found that an homogenous lighting of the scene enabled a clear inspection of the tube surface and reveal most of the defects. Unfortunately a structured lighting system was also required for the tool-marks to be visible. Then, different image processing tools have been applied to the images. At this point, all the defects are detected. Further experiments are currently being done to classify the defects.
机译：冶金工业主要将钢或其衍生产品转变为具有更好表面性能的产品（由于表面转变……）或转变为不同形状的产品（层压材料……），其中涉及一些会产生瑕疵的加工工具（裂纹，凹槽...）。在进行这项研究之前，叠层管是核反应堆内铀的接受者，叠层过程后要进行目视检查。根据操作员的主观评估（在1至4之间），对管子的质量进行评估，该过程可能已停止（等级4）。为了对管道进行更客观的控制，开发了机器视觉装置。该原型的主要目的是向操作员提供管子整个表面的视图。对各种照明系统进行了测试，以发现最大数量的缺陷（t6ol痕迹，划痕等）。管的表面不平整（粗糙），我们发现场景的均匀照明可以清楚地检查管的表面并发现大多数缺陷。不幸的是，还需要结构化的照明系统才能使工具标记可见。然后，将不同的图像处理工具应用于图像。此时，所有缺陷都被检测到。当前正在进行进一步的实验以对缺陷进行分类。

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