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Proceedings Paper

Sub-pixel locating of surface mounting components
Author(s): Chen Chen; Jun Cheng; Tiejun Wu
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Paper Abstract

This paper proposes a novel sub-pixel locating algorithm improving the performance of time-consuming template matching based on the Normalized Cross Correlation (NCC), which is widely applied in locating the surface mounting components of PCB (Printed Circuit Board). Based on the NCC, the proposed algorithm improves the performance significantly by modifying the NCC function, and adopting coarse-to-fine search. For the locating position with sub-pixel precision, according to the condition of the correlation peak, the outline of the longitudinal section along the correlation peak is obtained by cubic spline interpolation. The longitudinal section is executed along different directions to acquire different peaks. The optimum position can be found at the point where the sum of distances from it to all other points is the least. And the optimum position is also the position of the surface mounting components with sub-pixel precision. Experimental results demonstrate that the proposed algorithm can not only reduce computational complexity significantly, but also increase the locating accuracy effectively.

Paper Details

Date Published: 30 October 2009
PDF: 8 pages
Proc. SPIE 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis, 74951F (30 October 2009); doi: 10.1117/12.832744
Show Author Affiliations
Chen Chen, Nanjing Univ. of Aeronautics and Astronautics (China)
Shenzhen Institute of Advanced Integration Technology, The Chinese Univ. of Hong Kong (China)
Jun Cheng, Shenzhen Institute of Advanced Integration Technology, The Chinese Univ. of Hong Kong (China)
Tiejun Wu, Nanjing Univ. of Aeronautics and Astronautics (China)


Published in SPIE Proceedings Vol. 7495:
MIPPR 2009: Automatic Target Recognition and Image Analysis
Tianxu Zhang; Bruce Hirsch; Zhiguo Cao; Hanqing Lu, Editor(s)

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