自适应SSDA图像匹配并行算法设计与实现  

Design and realization of adaptive threshold sequential similarity detection image matching parallel algorithm

作　　者：张维琪[1] 樊斐 

机构地区：[1]西安建筑科技大学信息与控制工程学院,西安710055

出　　处：《计算机工程与应用》2014年第20期64-67,80,共5页Computer Engineering and Applications

摘　　要：为了充分利用多核处理器的硬件资源和计算能力来提高图像匹配应用的实时性,通过对自适应阈值SSDA图像匹配算法原理的分析,基于任务分解的多核并行编程模式思想,设计了一种自适应阈值SSDA图像匹配并行算法,并在多核计算机上采用OpenMP模型编程实现该并行算法,同时还进行了相关的代码优化。实验结果表明,优化后的并行算法在保持匹配算法精度的同时大大提高了匹配速度和多核利用率,取得了良好的效果。To take full advantage of multi-core processors hardware resource and computing capacity for improving the real-time of the image matching, by analyzing the theory of adaptive threshold sequential similarity detection algorithm, the related parallel algorithm, based on the multi-core and parallel programming model of task decomposition, is designed and realized by use of OpenMP programming model on multi-core computers, and then optimized. Experimental results show that the optimized parallel programs also increase the match speed, improve the multi-core utilization and achieve the expected effects well, in addition to keep the image match accuracy.

关 键 词：多核并行 OPENMP 自适应序列相似性检测算法(SSDA) 图像匹配 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]