• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

J4 ›› 2008, Vol. 30 ›› Issue (7): 61-64.

• 论文 • 上一篇    下一篇

PGA上基于Hausdorff距离的图像匹配并行算法设计与实现

徐金波 窦勇   

  • 出版日期:2008-07-01 发布日期:2010-05-22

  • Online:2008-07-01 Published:2010-05-22

摘要:

基于Hausdorff距离的图像匹配算法鲁棒性较好,但计算代价较大,软件实现方案很难满足实时性要求。为了解决这个问题,本文在基于局部Hausdorff距离的图像匹配算法基础上提出了一种鲁棒而实时的FPGA实现方案。为了充分有效利用FPGA的硬件资源,首先对传统串行算法进行并行性分析,提出了一个并行算法;然后以此为基础设计了一种 三段式粗粒度流水体系结构,并将其映射到FPGA上进行实现。实验结果表明,该系统在性能上优于其它相关工作,与PC(Pentium4 2.8GHz)上的软件实现方案相比可以达到 接近50倍的加速比。

关键词: Hausdorff距离 图像匹配 并行算法 FPGA

Abstract:

Image matching algorithms based on the Hausdorff distance are robust enough, but they are too computationally expensive to be used in embedded systems   . Software implementations of the algorithms are hardly real-time. A robust and real-time implementation scheme of image matching using the partial Haus dorff distance measure is presented on FPGA. In order to fully utilize the hardware resources on FP(;A, it first proposes a parallel image matching alg gorithm after the parallel characteristics are analyzed. Then a corresponding architecture implemented on FPGA is introduced, which is organized as a co arse-grained pipeline containing three stages. Experimental results show that our work outperforms the related proposals. A speedup of almost 50 is achi  eved compared with the software solution on PCs (Pentium 4 2.8 GHz).

Key words: Hausdorff distance, image matching, parallel algorithm;FPGA