PARALLEL IMPLEMENTATION OF GEODESIC DISTANCE TRANSFORM WITH APPLICATION IN SUPERPIXEL SEGMENTATION

被引：0
|
作者：
Pham, Tuan Q. [1 ]
机构：
[1] Canon Informat Syst Res Australia CiSRA, N Ryde, NSW 2113, Australia
来源：
2013 INTERNATIONAL CONFERENCE ON DIGITAL IMAGE COMPUTING: TECHNIQUES & APPLICATIONS (DICTA) | 2013年
关键词：
geodesic distance transform; OpenMP; superpixel segmentation;
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
This paper presents a parallel implementation of geodesic distance transform using OpenMP. We show how a sequential-based chamfer distance algorithm can be executed on parallel processing units with shared memory such as multiple cores on a modern CPU. Experimental results show a speedup of 2.6 times on a quad-core machine can be achieved without loss in accuracy. This work forms part of a C implementation for geodesic superpixel segmentation of natural images.
引用
收藏
页码：19 / 26
页数：8
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