A RIGOROUS AND EFFICIENT GPU IMPLEMENTATION OF LEVEL-SET SPARSE FIELD ALGORITHM

被引：0

作者：

Galluzzo, Francesca ^{[1
]}

Speciale, Nicolo ^{[1
]}

Bernard, Olivier ^{[2
]}

机构：

[1] Univ Bologna, ARCES DEIS, Bologna, Italy

[2] Univ Lyon, CREATIS, CNRS UMR5220, Inserm U1044, Lyon, France

来源：

2012 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP 2012) | 2012年

关键词：

Level-set; Sparse Field; GPU computing; VISUALIZATION;

D O I：

暂无

中图分类号：

TB8 [摄影技术];

学科分类号：

0804 ;

摘要：

Level-set methods have proven to be powerful and flexible tools in computer vision and medical imaging. Unfortunately, the flexibility of such models has historically resulted in long computational times and therefore limited clinical utility. In this context, we propose the first rigorous GPU implementation of the sparse field algorithm. We show that this model is able to reach high computational efficiency with no reduction in segmentation accuracy compared to its sequential counterpart.

引用

页码：1705 / 1708

页数：4

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