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

页码：19 / 26

页数：8

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