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CUDA加速工业DR图像分割

倪风岳 曾理 刘玲慧

计算机应用研究2011,Vol.28Issue(4):1560-1562,3.
计算机应用研究2011,Vol.28Issue(4):1560-1562,3.DOI:10.3969/j.issn.1001-3695.2011.04.101

CUDA加速工业DR图像分割

Speedup segmentation of industrial DR image by CUDA

倪风岳 1曾理 2刘玲慧1

作者信息

  • 1. 重庆大学数学与统计学院,重庆,400044
  • 2. 重庆大学光电技术及系统教育部重点实验室,ICT研究中心
  • 折叠

摘要

Abstract

The segmentation of industrial DR image is very important to industrial image processing. C-V method has some advanage to industrial DR image segmentation. Due to higher complexity, C-V method is rarely applied in a timecritical industrial environment. This paper presented an efficient parallel implementation of DR image segmentation by C-V method with CUDA, and used a method that separated data computing merged in corresponding thread by shared memory. Finolly, compared the results to the, current applications on image processing workstation, the implementation exhibited a speedup of 32 to 44 times compared to a state-of-the-art CPU.

关键词

并行计算/CUDA(统一计算架构)/图像分割/C-V模型/数字辐射图像

Key words

parallel computing/ CUDA( computer united device architecture )/ image segmentation/ C-V model/ DR image

分类

信息技术与安全科学

引用本文复制引用

倪风岳,曾理,刘玲慧..CUDA加速工业DR图像分割[J].计算机应用研究,2011,28(4):1560-1562,3.

基金项目

国家自然科学基金资助项目(60972104) (60972104)

计算机应用研究

OA北大核心CSCDCSTPCD

1001-3695

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