The optimized parallel implementation for an improved fast correlation matching algorithm on multi-DSPs interconnected by FPGA

Hao Wang; Zhiguo Cao; Zhenjun Zhang; Quan Zhang

doi:10.1117/12.833697

30 October 2009 The optimized parallel implementation for an improved fast correlation matching algorithm on multi-DSPs interconnected by FPGA

Hao Wang, Zhiguo Cao, Zhenjun Zhang, Quan Zhang

Author Affiliations +

Proceedings Volume 7497, MIPPR 2009: Medical Imaging, Parallel Processing of Images, and Optimization Techniques; 74970Y (2009) https://doi.org/10.1117/12.833697
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China

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.

Citation Download Citation

Hao Wang, Zhiguo Cao, Zhenjun Zhang, and Quan Zhang "The optimized parallel implementation for an improved fast correlation matching algorithm on multi-DSPs interconnected by FPGA", Proc. SPIE 7497, MIPPR 2009: Medical Imaging, Parallel Processing of Images, and Optimization Techniques, 74970Y (30 October 2009); https://doi.org/10.1117/12.833697

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