摘要
分析了Matlab并行计算工具箱中各部件的关系,对分布式并行计算环境中的关键参数进行了设置,构建了并行计算机群。将基于Matlab机群的分布式并行处理引入到图像匹配中。以灰度相关匹配算法为例,结合并行处理对图像灰度匹配进行并行实现。实验结果表明:并行化处理能有效缩短匹配时间,对进一步研究并行图像处理有一定的指导意义。
The relationship of different components in the Matlab parallel computing toolbox is analysed.The key parameters of distributed parallel computing enviroment are set.Parallel computing cluster is established in the paper.The implementation of image matching in the cluster is performed.Take gray correlation matching algorithm as an example,the algorithm combining with distributed parallel computing accomplishes on clusters.The result demonstrates paralle processing can shorten the matching time in efficiency.It has a certain reference value for the further study of parallel image processing algorithm under the Matlab environment.
出处
《四川理工学院学报(自然科学版)》
CAS
2011年第5期545-547,共3页
Journal of Sichuan University of Science & Engineering(Natural Science Edition)
基金
四川理工学院人才引进科研启动项目(2008RCYJ09)