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
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;
Conference_Titel :
Computing, Communication and Networking Technologies (ICCCNT), 2014 International Conference on
Conference_Location :
Hefei
Print_ISBN :
978-1-4799-2695-4
DOI :
10.1109/ICCCNT.2014.6963142
