Identification of PCB faults using image processing

机译：使用图像处理识别PCB故障

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The aim of this paper is to develop a more accurate PCB inspection system. In this method captured colored images are natural images i.e. without any precustomized environment and hence the every time the capture images varies with lighting conditions, the distance and inclination and these issues are to be handled effectively. Most of the work in this regard just detects the location of the fault but merely little work has been carried out to identify the type of the PCB faults automatically. This paper attempts to detect two types of PCB faults effectively.

机译：本文的目的是开发更精确的PCB检测系统。在这种方法中，所捕获的彩色图像是自然图像，即没有任何预先设定的环境，因此，每次捕获图像随照明条件而变化时，距离和倾斜度都将得到有效处理。在这方面的大部分工作只是检测故障的位置，而只进行了很少的工作来自动识别PCB故障的类型。本文试图有效地检测两种类型的PCB故障。

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来源
《2017 International Conference on Electrical, Electronics, Communication, Computer, and Optimization Techniques》|2017年|1-4|共4页
会议地点 Mysuru(IN)
作者
Jithendra P. R. Nayak; B. D. Parameshachari; K. M. Sunjiv Soyjaudah; Rajashekarappa; Reshma Banu; A. C. Nuthan;
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作者单位

Dept of ECE, GMIT, Bharathinagara, India;

Dept of TCE, GSSSIETW, Mysuru, India (Affiliated to VTU, Belagavi);

Dept. of ECE, University of Mauritius, Mauritius;

Dept. of ISE, SDMCET, Dharwad, India (Affiliated to VTU, Belagavi);

Dept of ISE, GSSSIETW, Mysuru, India (Affiliated to VTU, Belagavi);

Dept of ECE, GMIT, Bharathinagara, India. Research Scholar, Jain University, Bengaluru, India;

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原文格式 PDF
正文语种 eng
中图分类
关键词
Circuit faults; Inspection; Image edge detection; Fault diagnosis; Printed circuits; Fabrication;

机译：电路故障;检查;图像边缘检测;故障诊断;印刷电路;制造;;

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专利

1. Image processing of 2D resistivity data for imaging faults [J] . Nguyen F, Garambois S, Jongmans D, Journal of Applied Geophysics . 2005,第4期

机译：用于成像故障的2D电阻率数据的图像处理
2. PCB welding spot detection with image processing method based on automatic threshold image segmentation algorithm and mathematical morphology [J] . Wang Shi Yuan, Zhao Yang, Wen Liuying Circuit World . 2016,第3期

机译：基于自动阈值图像分割算法和数学形态学的图像处理方法检测PCB焊缝斑点
3. High-performance FUR T420 camera detects faults in PCBs at an early stage [J] . Jane Warwick DEMM: Engineering & Manufacturing Magazine . 2015,第Mara期

机译：高性能FUR T420摄像机可及早发现PCB中的故障
4. Identification of PCB faults using image processing [C] . Jithendra P. R. Nayak, B. D. Parameshachari, K. M. Sunjiv Soyjaudah, International Conference on Electrical, Electronics, Communication, Computer and Optimization Techniques . 2017

机译：使用图像处理识别PCB故障
5. Fault Detection, Identification and Accommodation in Sampled-Data Process Systems with Measurement Errors and Actuation Faults [D] . Narasimhan, Shilpa 2016

机译：具有测量误差和驱动故障的采样数据过程系统中的故障检测，识别和处理
6. Identification of PCBP2 a facilitator of IRES-mediated translation as a novel constituent of stress granules and processing bodies [O] . Ken Fujimura, Fumi Kano, Masayuki Murata 2008

机译：确定PCBP2是IRES介导的翻译的促进者是应力颗粒和加工体的新成分
7. Image processing of 2D resistivity data for imaging faults [O] . Nguyen, Frédéric, Garambois, Stephane, Jongmans, Denis, 2005

机译：用于成像故障的2D电阻率数据的图像处理

Identification of PCB faults using image processing

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