DocumentCode
160570
Title
Edge detection of noisy images based on time-multiplexing CNN simulator
Author
Murugesh, V. ; Arthy, V. ; Agalya, V.
Author_Institution
Dept. of Comput. Sci., King Khalid Univ., Abha, Saudi Arabia
fYear
2014
fDate
11-13 July 2014
Firstpage
1
Lastpage
5
Abstract
This paper presents a cellular neural network based edge detection of noisy images using Time-Multiplexing CNN Simulator. The experimental results of Time-Multiplexing CNN Simulator are compared with traditional edge detection operators Canny and Sobel. Simulation results show that the proposed simulator is accurately detecting the edge of noisy images.
Keywords
cellular neural nets; edge detection; Canny operators; Sobel operators; cellular neural network; edge detection; noisy images; time-multiplexing CNN simulator; Cellular neural networks; Detectors; Image edge detection; Multiplexing; Noise; Noise measurement; Voltage control; Canny and Sobel operator; Cellular Neural Network; Edge Detection; Gaussian Edge Detector; Time-Multiplexing CNN Simulation;
fLanguage
English
Publisher
ieee
Conference_Titel
Computing, Communication and Networking Technologies (ICCCNT), 2014 International Conference on
Conference_Location
Hefei
Print_ISBN
978-1-4799-2695-4
Type
conf
DOI
10.1109/ICCCNT.2014.6963142
Filename
6963142
Link To Document