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Proceedings Paper

The optimized parallel implementation for an improved fast correlation matching algorithm on multi-DSPs interconnected by FPGA
Author(s): Hao Wang; Zhiguo Cao; Zhenjun Zhang; Quan Zhang
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Paper Abstract

Correlation match is widely used in the field of target recognition for its stability and adaptability, but traditional correlation matching does not meet the demand for real time performance. For this reason, this paper presents an improved recursive pyramid correlation image matching algorithm and accomplishes the algorithm's parallel implementation on Multi-DSPs interconnected by FPGA with using several effective optimization strategies. Moreover, we design detailed experiments which give a comparison of different matching speed using optimization methods step by step. The results prove that our system is the best optimum with high efficiency compared with conventional methods.

Paper Details

Date Published: 30 October 2009
PDF: 6 pages
Proc. SPIE 7497, MIPPR 2009: Medical Imaging, Parallel Processing of Images, and Optimization Techniques, 74970Y (30 October 2009); doi: 10.1117/12.833697
Show Author Affiliations
Hao Wang, Huazhong Univ. of Science and Technology (China)
Zhiguo Cao, Huazhong Univ. of Science and Technology (China)
Zhenjun Zhang, Huazhong Univ. of Science and Technology (China)
Quan Zhang, Huazhong Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 7497:
MIPPR 2009: Medical Imaging, Parallel Processing of Images, and Optimization Techniques
Faxiong Zhang; Faxiong Zhang, Editor(s)

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