分布式图像配准计算及其在WCCS机群上的实现

Distributed image registration computing and implementation on a cluster disposed by WCCS

目前大多数采用PDE模型进行图像配准的数值方法都是基于对像素矩阵的计算.随着图像尺寸的增加,矩阵计算需要消耗更多的处理时间,一种有效的改进办法就是通过分布式计算来减少处理时间.笔者讨论一种在机群上进行图像配准的分布式处理方法,采用图像数据块划分技术,在基于WCCS架构包含4个节点的机群上实现了该算法.实验表明,该方法在保持配准精度不变的前提下,能有效降低计算时间复杂度,减少配准计算所需的时间.

Most numerical approaches for image registration with PDE method are based on the computing over the pixel matrices. As the image size increases,more time consuming is needed. Then,one of the most efficient solving methods is distributed computing.This paper discusses we discuss the distributed deformable registration computing carried on the cluster. Then perform the distributed implementation on a 4 nodes cluster disposed by WCCS. Some experimental results show that this method can produce the large size image registration time and reduce the computation complexity.