云计算环境下的三维图像数据重构方法

3D image data reconstruction method in cloud computing environment

针对传统三维虚拟技术进行三维图像数据重构时存在重构精度低、清晰度不高的问题,提出云计算环境下的三维图像数据重构方法。构建了Hadoop结构的云计算环境,其由Map Reduce编程应用、HDFS分布式计算应用、Hbase开源数据库以及多项Apache服务器软件构成。选取体素作为三维图像数据重构的基本单元,采用各向异性分散过滤法在Hadoop结构中腐蚀体素,达到图像去噪和消除体素不稳定形态的目的。采用一种跳跃性的三维空间索引方法进行三维图像数据重构,减少对无用体素索引的过程,提高重构效率。实验结果表明,所提方法的重构效果好、清晰度高。

As the traditional3D virtual technology used to reconstruct3D image data has the problems of low accuracy andpoor resolution,a method of3D image data reconstruction in cloud computing environment is put forward.The cloud computingenvironment based on Hadoop structure was constructed,which is composed of MapReduce programming application,HDFS dis?tributed computing application,Hbase open source database and multi?term Apache server software.The voxel is selected as thebasic unit of3D image data reconstruction,and corroded in Hadoop structure with anisotropic dispersion filtering method to de?noise the image and eliminate the unstable form of the voxel.A jumping3D spatial index method is adopted to reconstruct the3D image data,reduce the useless process of voxel index,and improve the reconstruction efficiency.The experimental resultsshow that the proposed method has perfect reconstruction effect and high definition.