Edge Detection of Noisy Images Based on Time-Multiplexing CNN Simulator

被引：0
|
作者：
Murugesh, V. [1 ]
Arthy, V. [2 ]
Agalya, V. [3 ]
机构：
[1] King Khalid Univ, Dept Comp Sci, Coll Comp Sci, Abha, Saudi Arabia
[2] Wipro Technol, Chennai 600119, Tamil Nadu, India
[3] Cognizant Technol Syst, Chennai 600119, Tamil Nadu, India
来源：
2014 INTERNATIONAL CONFERENCE ON COMPUTING, COMMUNICATION AND NETWORKING TECHNOLOGIES (ICCCNT | 2014年
关键词：
Cellular Neural Network; Edge Detection; Time-Multiplexing CNN Simulation; Canny and Sobel operator; Gaussian Edge Detector; CELLULAR NEURAL-NETWORKS; PROCESSING APPLICATIONS;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
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.
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页数：5
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