Application of Fast Deviation Correction Algorithm Based on Shape Matching Algorithm in Component Placement

Jie DUAN, Xiaowei FANG, Xiangyang SUN, Huajie LI, Zhiyong AN

Abstract


For contradiction PC template matching between accuracy and speed, combined with the advantages of FPGA high speed parallel computing. This paper presents a FPGA-based rapid correction shape matching algorithm. Mainly in the FPGA, using shape matching and least squares method to calculate the angular deviation chip components. Use single instruction stream algorithm acceleration. Experimental results show that compared with traditional PC template matching algorithms, this algorithm to further improve the correction accuracy and greatly reducing correction time. And SMT machine vision correction can be obtained in a stable and efficient use.


Keywords


Surface mount system; Correcting; Shape matching; Edge detection; Least squares

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References


Bai, Y.-J. (2010). Study of image processing and machine vision feature recognition based (pp.130-133). Chongqing: Chongqing University Control Theory and Control Engineering.

Ding, X.-F.,Wu, H., Zhang, H.-J., & Ma, S.-D. (2001). Review on shape matching. Acta Automatica Sinica, 27(5), 678-694.

Jia, P., Xu, N., & Zhang, Y. (2013). Automatic target recognition based on local feature extraction. Optics and Precision Engineering, 21(7), 1898-1905.

Li, D.-G., & Qin, K.-H. (2006). Fast image registration algorithm based on randomized contour matching. J Tsinghua University (Sci.&Tech.), 46(1), 111-114.

Liu, J., Wei, Y.-F., Zhang, M.-Q., Li, J.-Y., & Chen, L. (2011). Application of digital image process in the correction of chip components. Journal of Soochow University (Engineering Science Edition), 31(3), 73-76.

Xia, X.-L., & Chai, W. (2009). An improved method for shape matching using shape context. Journal of Donghua University Social Science, 35(1), 79-83.

Xian, F. (2006). The vision professing system of plaeement machine. Electronics & Packaging, 6(7), 21-31.

Yu, D.-W. (2010). Vision system’s research and application in the field of SMM head position system & SMD component’s detection and correction. Jiangsu: Soochow University Control Theory and Control Engineering.

Zhao, L. R., Zhu, W., & Cao, Y. G., et al. (2013). Application of improved SURF algorithm to feature matching. Optics and Precision Engineering, 21( 12), 3263-3271.

Zhou, Y., Liu, J.-T., & Bai, X. (2012). Research and perspective on shape matching. Acta Automatica Sinica, 38(6), 889-910.




DOI: http://dx.doi.org/10.3968/%25x

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