Segmenting images with gradient-based edge detection using Membrane Computing
Segmenting images with gradient-based edge detection using Membrane Computing
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DOI：
10.1016/j.patrec.2012.10.014
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发表时间：
2013-06-01
影响因子：
5.1
通讯作者：
Gutierrez-Naranjo, Miguel A.
中科院分区：
文献类型：
--
作者：
Diaz-Pernil, Daniel;Berciano, Ainhoa;Gutierrez-Naranjo, Miguel A.
在本文中，我们提出了一种新算法的并行实现，该算法使用自然计算技术，通过基于梯度的边缘检测来分割图像。这种受生物启发的并行算法已在称为 CUDA (TM)（计算统一设备架构）的新颖设备架构中实现。该实现是通过膜计算框架上的组织 P 系统设计的。还提供了一些示例和实验结果。 (C) 2012 Elsevier B.V. 保留所有权利。
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.