A Cellular Automaton for Ultra-Fast Watershed Transform on GPU

被引：0
|
作者：
Kauffmann, Claude [1 ]
Piche, Nicolas
机构：
[1] CHUM Notre Dame Hosp, Notre Dame, IN USA
来源：
19TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOLS 1-6 | 2008年
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：
In this paper we describe a cellular automaton (CA) used to perform the watershed transform in N-D images. Our method is based on image integration via the Ford-Bellman shortest paths algorithm. Due to the local nature of CA algorithms we show that they are designed to run on massively parallel processors and therefore, be efficiently implemented on low cost consumer graphical processing units (GPUs).
引用
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页码：1750 / +
页数：2
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