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.

引用

页数：5

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