扁平漆包线表面缺陷在线检测研究

doi:10.16180/j.cnki.issn1007-7820.2021.05.013

Abstract

Abstract:

In order to realize the on-line detection of flat enameled wire surface defects, a detection system based on image processing is designed in this study. The system uses a frame-to-frame difference method to separate the background of the flat enameled wire. In view of the jitter interference in the background-separated image, a debounce process is proposed. For images with defects, features such as the location, area, and perimeter of the defects are extracted using connected domain analysis and boundary tracking algorithms. The experimental results show that the accuracy of the system for detecting defects reaches 95%, which reduces the processing time of defect feature extraction, indicating that the system can meet the requirements of online detection and has good application value.

Key words: flat enameled wire, image processing, surface defects, online detection, frame difference method, background separation, jitter interference, feature extraction

CLC Number:

TP751.1

SONG Zhangming,HE Huiyong,HUANG Yuejun. Study on On-Line Detection of Surface Defects of Flat Enameled Wire[J].Electronic Science and Technology, 2021, 34(5): 72-78.

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References 17

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缺陷编号	质心	面积	实际面积 /mm²	周长	实际周长 /mm
1	[163,382]	75	0.067 5	32	0.96
2	[234,396]	897	0.807 3	216	6.48
3	[264,412]	12	0.010 8	10	0.30

扁平漆包线图像	张数	正确识别张数	正确率
存在缺陷	392	375	95.7%
不存在缺陷	300	293	97.7%

	图像总数	非缺陷图像数	非缺陷图像所占比例	处理时间 a/ms	处理时间 b/ms	处理时间下降
样本1	116	63	54.3%	934	689	26.2%
样本2	115	71	61.7%	826	567	31.4%
样本3	136	71	52.2%	1 086	839	22.7%

Study on On-Line Detection of Surface Defects of Flat Enameled Wire

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