A Template-Matching-Based Fast Algorithm for PCB Components Detection

Article Preview

Abstract:

In this paper, a novel multi-level image matching-based method is proposed for the PCB components detection. After the registration of PCB image, a quick coarse matching is carried out to find the similar region with the standard component image in the certain region; and then a precise matching is conducted to judge whether it is the specific component. Our experimental results indicate this method can detect common PCB components with high speed and high precision.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 690-693)

Pages:

3205-3208

Citation:

Online since:

May 2013

Authors:

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Zeng Cheng, Zhao Xijun, Xu Xin, Dong Yi, HAN Yin. Research on image segmentation technology for PCB inspection. Transducer and Micro system Technologies. Vol. 30(2011), pp.26-29.

Google Scholar

[2] Zhang Yuqing, Liu Xueping, Rong Guolin. The design of high speed PCB welding quality detection system. Machinery Design&Manufacture. Vol. 3(2010), pp.1-3.

Google Scholar

[3] Wu Fupei. Researchon Inspection Method of Printed Circuit Board's Solder Joint Based on 2-D Model of Color Image. Electrical Measurement & Instrumentation. Vol. 48(2012), pp.18-20.

Google Scholar

[4] Zou Huadong. On-line visual inspection on PCB holes based on machine learning. Journal of Liaoning Technical University (Natural Science). Vol. 31(2012), pp.93-97.

Google Scholar

[5] WANGYN, LIULJ, ZHOUBW, et al. Detection method of printed circuit board components based on chaotic optimization algorithm. Chinese Journal of Scientific Instrument. Vol. 31(2010), pp.410-415.

Google Scholar

[6] XIEHW, KUANGYC, ZHANGXM. A high speed AOI algorithm for chip component based on image difference. IEEE International Conference of Information & Automation, Zhuhai, China. Vol. 4(2009), pp.969-974.

DOI: 10.1109/icinfa.2009.5205058

Google Scholar

[7] Lin Shihchieh,Chou Chihhsien,Su Chiahsin.A development of visual inspection system for surface mounted devices on printed circuit board. The proceedings of the 33rd Annual Conference of the IEEE Industrial Electronics Society. (2007), pp.2440-2445.

DOI: 10.1109/iecon.2007.4459975

Google Scholar

[8] HUWM, HUW, MAYBANKS. AdaBoost based algorithm for network intrusion detection. IEEE Transactions on system, man and cybernetics. Vol. 38(2008), pp.577-583.

DOI: 10.1109/tsmcb.2007.914695

Google Scholar

[9] Xie Hongwei, Qi Yongcong. Solder Joint Inspection Method regarding misalignment. Transactions of the China Welding Institution. Vol.32 (2011), pp.30-35.

Google Scholar

[10] LOHHH, LUMS. Printed circuit board inspection using image analysis. IEEE Transaction on industry Applications. Vol.35 (1999), pp.426-432.

DOI: 10.1109/28.753638

Google Scholar

[11] LU Shenglin, ZHANG Xianmin. Analysis of optimal design of illuminator for leafless tin solder joint inspection. Opt. Precision Eng. Vol. 8(2008), pp.1377-1383.

Google Scholar

[12] LIN SH CH, SU CH H. A visual inspection system for surface mounted devices on printed circuit board. Cybernetics and Intelligent Systems, 2006 IEEE Conference, (2006), pp.1-4.

DOI: 10.1109/iccis.2006.252237

Google Scholar