.png){kind=icon}
.png){kind=icon}
Return
Segmenting images with gradient-based edge detection using Membrane Computing
.png){kind=icon}
OA
AI
DOI：10.1016/j.patrec.2012.10.014.png)
.png){kind=icon}
.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
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.
Keywords:
Edge detection
Sobel algorithm
Tissue P systems
Membrane Computing
CUDA
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
3.3
Papers:
7.8K
Citations:
1.6W