Segmenting images with gradient-based edge detection using Membrane Computing

被引：55
|
作者：
Diaz-Pernil, Daniel [1 ]
Berciano, Ainhoa [1 ,3 ]
Pena-Cantillana, Francisco [2 ]
Gutierrez-Naranjo, Miguel A. [2 ]
机构：
[1] Univ Seville, Dept Appl Math 1, CATAM Res Grp, Seville, Spain
[2] Univ Seville, Dept Comp Sci & AI, Res Grp Nat Comp, Seville, Spain
[3] Univ Basque Country, Dept Didact Math & Expt Sci, Bilbao, Spain
来源：
PATTERN RECOGNITION LETTERS | 2013年 / 34卷 / 08期
关键词：
Edge detection; Sobel algorithm; Tissue P systems; Membrane Computing; CUDA; TISSUE P-SYSTEMS; CELLULAR-AUTOMATA; ACTIVE MEMBRANES; 2D; SEGMENTATION;
D O I：
10.1016/j.patrec.2012.10.014
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 present a parallel implementation of a new algorithm for segmenting images with gradient-based edge detection by using techniques from Natural Computing. This bio-inspired parallel algorithm has been implemented in a novel device architecture called CUDA (TM)(Compute Unified Device Architecture). The implementation has been designed via tissue P systems on the framework of Membrane Computing. Some examples and experimental results are also presented. (C) 2012 Elsevier B.V. All rights reserved.
引用
收藏
页码：846 / 855
页数：10
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