Study on Image Mosaic and Registration of Electronic Component through Surface Mounting Technology

Article Preview

Abstract:

The rapid growth of modern technology place greater demand on electronic products’ performance and quality. As for the printed circuit board (PCB) assembly of electronic components through surface mounting technology (SMT), high-pixel charge coupled device (CCD) can only screen local images during image collection because of its limited vision. A rapid image mosaic technology has been proposed to seamlessly stitch the local images with overlapping boundaries. The complete image of PCB assembly has been acquired through rapid area matching method within double Mark points and Mark circle. The experiment results show that this method can greatly reduce the image-mosaic time and fairly improve the real-time performance of modern automatic optical inspection (AOI) equipment. Furthermore, such method avoids the alignment error from the characteristic points for noise jamming or noise shielding, and therefore obtains better robustness.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

113-118

Citation:

Online since:

September 2011

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2012 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] G.M. Mair, Industrial Robotics, Prentice-Hall, New York, (1988).

Google Scholar

[2] T.S. Newman, A survey of automated visual inspection, Computer Vision and Image Understanding, vol. 61, no. 2, pp.231-262, (1995).

DOI: 10.1006/cviu.1995.1017

Google Scholar

[3] M. Moganti, F. Ercal, Automatic PCB inspection algorithms: A survey, Computer Vision and Image Understanding, vol. 63, no. 2, pp.287-313, (1996).

DOI: 10.1006/cviu.1996.0020

Google Scholar

[4] T. Landers, W. Brown, E. Fant, E. Malstrom, N. Schmitt, Electronics manufacturing processes, Englewood Cliffs, NJ: Prentice-Hall.

Google Scholar

[5] Zhou Dangqun, Cheng Xianping, Li Gangjian, Research on the Acquisition of Object Image in PCB Visual Inspection System, Journal of Electronic Measurement and Instroment, vol15, no. 3, pp.10-13, (2001).

Google Scholar

[6] Liu Shangjun, Cheng Xianping, Research on the Approach of Real Time Visual Inspection of PCB De fective Image, Computer Engineering and Applications, no. 16, pp.71-74, (2002).

Google Scholar

[7] Li Xibing, Fan Yanbin, One method to improve reversing precision for ICT slice pictures of complicated products, China Mechanical Engineering, vol. 16, no. 2, pp.152-155, January (2005).

Google Scholar

[8] Fan Yan-Bin, Li Xi-Bing, One of the image segmentation algorithms for digital ICT image slices of industrial products, Acta Scientiarum Natralium Universitatis Sunyatseni, vol. 43, no. 3, pp.21-24, May (2004).

Google Scholar

[9] Jiun-Ming Zhang, Ruey-Ming Lin, Mao-Jiun Wang, The development of an automatic post-sawing inspection system using computer vision techniques, Computers in Industry, no. 40, pp.51-60, (1999).

DOI: 10.1016/s0166-3615(99)00009-3

Google Scholar

[10] Kimia B, Shape representation for image retrieval, In: Image Database-Search and Retrieval of Digital Imagery, Castelli V, Bergman L D, eds, John Wiley&Sons, Inc. Ch. 13, pp.345-372, (2002).

DOI: 10.1002/0471224634.ch13

Google Scholar

[11] Zhang D. S, Image Retrieval Based on Shape, PhD Thesis, Monash University, March, (2002).

Google Scholar

[12] Wu siqing, Research on Image Retrieval Technique Based on MPEG-7 Shape Feature, Central China Normal University, (2007).

Google Scholar