Parallelizing and Optimizing LIP-Canny Using NVIDIA CUDA

被引：0
|
作者：
Palomar, Rafael [1 ]
Palomares, Jose M. [1 ]
Castillo, Jose M. [1 ]
Olivares, Joaquin [1 ]
Gomez-Luna, Juan [1 ]
机构：
[1] Univ Cordoba, Comp Architecture Area, Dept Comp Architecture Elect & Elect Technol, E-14071 Cordoba, Spain
来源：
TRENDS IN APPLIED INTELLIGENT SYSTEMS, PT III, PROCEEDINGS | 2010年 / 6098卷
关键词：
MODEL;
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：
The Canny algorithm is a well known edge detector that is widely used in the previous processing stages in several algorithms related to computer vision. An alternative, the LIP-Canny algorithm, is based on a robust mathematical model closer to the human vision system, obtaining better results in terms of edge detection. In this work we describe LIP-Canny algorithm under the perspective from its parallelization and optimization by using the NVIDIA CUDA framework. Furthermore, we present; comparative results between an implementation of this algorithm using NVIDIA CUDA and the analogue using a C/C++ approach.
引用
收藏
页码：389 / 398
页数：10
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