Parallel Volume Image Segmentation with Watershed Transformation

被引：0
|
作者：
Wagner, Bjoern [1 ]
Dinges, Andreas [1 ]
Mueller, Paul [2 ]
Haase, Gundolf [3 ]
机构：
[1] Fraunhofer ITWM, D-67663 Kaiserslautern, Germany
[2] Univ Kaiserslautern, D-67663 Kaiserslautern, Germany
[3] Karl Franzens Univ Graz, A-8010 Graz, Austria
来源：
IMAGE ANALYSIS, PROCEEDINGS | 2009年 / 5575卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
We present a novel approach to parallel image segmentation of volume images on shared memory computer systems with watershed transformation by immersion. We use the domain decomposition method to break the sequential algorithm in multiple threads for parallel computation. The use of a chromatic ordering allows us to gain a correct segmentation without an examination of adjacent domains or a final re-labeling. We will briefly discuss our approach and display results and speed up measurements of our implementation.
引用
收藏
页码：420 / +
页数：3
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