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Proceedings Paper

A fast digital image correlation algorithm based on Hartley transform and global sum-table scheme
Author(s): Jianwei Huang; Zhixue Dong
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Paper Abstract

Digital image correlation method (DICM) as a flexible tool for deformation measurements has found widespread use in a variety of fields. One major challenge in practical applications, however, lies in that this technique founded on zeronormalized cross-correlation (ZNCC) criterion is extremely time-consuming in correlation calculation. This paper introduces the Hartley transform and a so-called global sum-table strategy to evaluate the cross-correlation term and all double sums in the ZNCC expression, which can dramatically reduce computational complexity of correlation searching and therefore lead to significant computational savings. Both simulation tests and an actual example of displacement acquisition are employed to validate the feasibility and effectiveness of the fast algorithm, which indicates that it can improve the efficiency of the DICM calculation by ~4-14 times in comparison with the conventional algorithm. This is crucial for realizing a high-efficiency DICM to satisfy speed requirements for time-critical applications and large-scale data processing.

Paper Details

Date Published: 19 August 2010
PDF: 7 pages
Proc. SPIE 7820, International Conference on Image Processing and Pattern Recognition in Industrial Engineering, 78200H (19 August 2010); doi: 10.1117/12.866262
Show Author Affiliations
Jianwei Huang, Inner Mongolia Univ. of Technology (China)
Zhixue Dong, Inner Mongolia Univ. of Technology (China)

Published in SPIE Proceedings Vol. 7820:
International Conference on Image Processing and Pattern Recognition in Industrial Engineering
Shaofei Wu; Zhengyu Du; Shaofei Wu; Zhengyu Du; Shaofei Wu; Zhengyu Du, Editor(s)

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