Haralick's texture features computed by GPUs for biological applications

作     者：Gipp, Markus Marcus, Guillermo Harder, Nathalie Suratanee, Apichat Rohr, Karl König, Rainer Männer, Reinhard 

作者机构：Institute of Computer Science V Scientific Computing Group University of Heidelberg 68161 Mannheim Germany IPMB BIOQUANT and DKFZ Heidelberg Dept. Bioinformatics and Functional Genomics University of Heidelberg Im Neuenheimer Feld 267 69120 Heidelberg Germany 

出 版 物：《IAENG International Journal of Computer Science》 (IAENG Int. J. Comput. Sci.)

年 卷 期：2009年第36卷第1期

核心收录：

主　　题：Graphics processing unit 

摘      要：This paper presents an approach to speedup the computation of co-occurrence matrices and Haralick texture features, as used for analyzing microscopy images of cells, by general-purpose graphics processing units (GPUs). The sequence of computation steps for the features is analyzed based on a graph and an optimized version of the software is derived. Afterwards, a massive parallel software version for GPUs is designed and implemented. On a single node of a cluster, a speedup of a factor of 360 was obtained compared to the original software version, and a speedup of a factor of 32 was achieved compared to the optimized software version.