环形陶瓷金属涂层缺陷检测方法研究

doi:10.16180/j.cnki.issn1007-7820.2021.06.005

Abstract

Abstract:

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

MA Ding,WU Dingxiang,TANG Lijun. Research on the Defect Method of Detection Circular Ceramic Metal Coating[J].Electronic Science and Technology, 2021, 34(6): 28-33.

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编号	二级传送带初始速度v/cm·s^-1	翻面成功数量/ 个
1	2.5	295
2	3.0	298
3	3.5	300
4	4.0	300
5	4.5	300
6	5.0	300
7	5.5	297
8	6.0	290

Research on the Defect Method of Detection Circular Ceramic Metal Coating

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编号	实际缺陷数量/个	检测缺陷数量/个
1	20	20
2	26	26
3	30	30
4	33	33
5	35	34
6	36	35