Add to ORKGBibliographical references: p. 225-234.xxiv, 285 p. : ill. ; 30 cm.Thesis (Ph.D.)--University of Adelaide, Dept. of Electrical and Electronic Engineering, 199
Edge detectors are widely used in computer vision applications to locate sharp intensity changes and...
International audienceIn this paper, we propose a spiking neural network model for edge detection in...
Edge detection is a fundamental aspect of image processing and computer vision. It is used to detect...
In this paper an image enhancing technique is described. It is based on Shunting Inhibitory Cellular...
Novel image enhancement technique using shunting inhibitory cellular neural network
Shunting inhibition is a model of early visual processing which can provide contrast and edge enhanc...
A few years ago, Tsuruta et al. have proposed Small World Cellular Neural Networks (SWCNN). SWCNN is...
Abstract—The present paper proposes a novel approach for edge detection in satellite images based on...
A novel read-out and column circuit for VLSI implementation of a Shunting Inhibition Cellular Neural...
A few years ago, Tsuruta et al. have proposed Direction-Preserving Small World Cellular Neural Netwo...
A cellular neural network (CNN) based edge detector optimized by differential evolution (DE) algorit...
Utilization of artificial neural networks in digital image processing is nothing new. The aim of thi...
Cellular Neural Networks (CNN) were introduced by L. O. Chua and Lin Yang [1]. The idea of the CNN w...
Abstract:- Analysing neural network edge detection (NNED) is being presented in a new method in orde...
This paper illustrates a novel method to analyze artificial neural networks so as to gain insight in...
Edge detectors are widely used in computer vision applications to locate sharp intensity changes and...
International audienceIn this paper, we propose a spiking neural network model for edge detection in...
Edge detection is a fundamental aspect of image processing and computer vision. It is used to detect...
In this paper an image enhancing technique is described. It is based on Shunting Inhibitory Cellular...
Novel image enhancement technique using shunting inhibitory cellular neural network
Shunting inhibition is a model of early visual processing which can provide contrast and edge enhanc...
A few years ago, Tsuruta et al. have proposed Small World Cellular Neural Networks (SWCNN). SWCNN is...
Abstract—The present paper proposes a novel approach for edge detection in satellite images based on...
A novel read-out and column circuit for VLSI implementation of a Shunting Inhibition Cellular Neural...
A few years ago, Tsuruta et al. have proposed Direction-Preserving Small World Cellular Neural Netwo...
A cellular neural network (CNN) based edge detector optimized by differential evolution (DE) algorit...
Utilization of artificial neural networks in digital image processing is nothing new. The aim of thi...
Cellular Neural Networks (CNN) were introduced by L. O. Chua and Lin Yang [1]. The idea of the CNN w...
Abstract:- Analysing neural network edge detection (NNED) is being presented in a new method in orde...
This paper illustrates a novel method to analyze artificial neural networks so as to gain insight in...
Edge detectors are widely used in computer vision applications to locate sharp intensity changes and...
International audienceIn this paper, we propose a spiking neural network model for edge detection in...
Edge detection is a fundamental aspect of image processing and computer vision. It is used to detect...