Electronic Science and Technology ›› 2021, Vol. 34 ›› Issue (6): 28-33.doi: 10.16180/j.cnki.issn1007-7820.2021.06.005

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Research on the Defect Method of Detection Circular Ceramic Metal Coating

MA Ding1,2,WU Dingxiang3,TANG Lijun1,2   

  1. 1. School of Physics and Electronic Science,Changsha University of Science & Technology,Changsha 410114,China
    2. Hunan Province Higher Education Key Laboratory of Modeling and Monitoring on the Near-Earth Electromagnetic Environments,Changsha 410114,China
    3. Changsha Billion Set Intelligent Technology Co.,Ltd.,Changsha 410004,China
  • Received:2020-02-17 Online:2021-06-15 Published:2021-06-01
  • Supported by:
    National Science and Technology Support Program(2014BAH28F04);Scientific Research Project of Hunan Provincial Department of Education(15K009);Scientific Research Project of Hunan Provincial Department of Education(17K004);Key R&D Projects in Hunan Province(2018GK2054)


In view of the problems in the surface inspection of annular devices, the current study takes the annular metal-coated ceramics as the research object and proposes a surface inspection method based on machine vision. The proposed method uses Canny edge detection and Hough transform to quickly locate concentric circles, and then extracts metal-coated areas. In order to convert polar coordinates to rectangular coordinates, the radial projection method is used to convert the ring-shaped metal coating map to a rectangular shape. Finally, the area and perimeter of the connected domain are analyzed to determine whether the circular ceramic metal coating has defects. The experimental results show that the detection accuracy of the algorithm is 98% for samples with a defect area greater than 0.5 mm×0.5 mm.

Key words: ring device surface, machine vision, edge detection, Hough transform, defect detection, radial projection, coordinate transformation, detection systems

CLC Number: 

  • TP242.6 +2