Add to ORKGA few years ago, Tsuruta et al. have proposed Direction-Preserving Small World Cellular Neural Networks (DP-SWCNN). They investigated the performance of the network by changing structure of the network keeping the number of all branches. In this article, we propose an improved DP-SWCNN with new network topology and investigate the availability for edge detection of gray scale images. 1
Bibliographical references: p. 225-234.xxiv, 285 p. : ill. ; 30 cm.Thesis (Ph.D.)--University of Ade...
Result of edge detection using CNN could be not optimal, because the optimal result is based on temp...
Result of edge detection using CNN could be not optimal, because the optimal result is based on temp...
A few years ago, Tsuruta et al. have proposed Small World Cellular Neural Networks (SWCNN). SWCNN is...
In previous study, we have proposed “Cellular neural net-works with effect from friend having most d...
Abstract—The present paper proposes a novel approach for edge detection in satellite images based on...
A cellular neural network (CNN) based edge detector optimized by differential evolution (DE) algorit...
Abstract—Cellular neural network (CNN) is a large-scale nonlinear analog circuit suitable for real-t...
All anomalies are important in the interpretation of gravity and magnetic data because they indicate...
This paper proposes a new approach for edge detec-tion by combining steerable filters and cellular n...
A new approach for edge detection of noisy image by cellular neural network (CNN) is proposed in thi...
Cellular Neural Networks (CNN) were introduced by L. O. Chua and Lin Yang [1]. The idea of the CNN w...
In this study, we propose Cellular Neural Network with the Preference Theory (PT-CNN). The proposed ...
Abstract:- Analysing neural network edge detection (NNED) is being presented in a new method in orde...
In this paper an image enhancing technique is described. It is based on Shunting Inhibitory Cellular...
Bibliographical references: p. 225-234.xxiv, 285 p. : ill. ; 30 cm.Thesis (Ph.D.)--University of Ade...
Result of edge detection using CNN could be not optimal, because the optimal result is based on temp...
Result of edge detection using CNN could be not optimal, because the optimal result is based on temp...
A few years ago, Tsuruta et al. have proposed Small World Cellular Neural Networks (SWCNN). SWCNN is...
In previous study, we have proposed “Cellular neural net-works with effect from friend having most d...
Abstract—The present paper proposes a novel approach for edge detection in satellite images based on...
A cellular neural network (CNN) based edge detector optimized by differential evolution (DE) algorit...
Abstract—Cellular neural network (CNN) is a large-scale nonlinear analog circuit suitable for real-t...
All anomalies are important in the interpretation of gravity and magnetic data because they indicate...
This paper proposes a new approach for edge detec-tion by combining steerable filters and cellular n...
A new approach for edge detection of noisy image by cellular neural network (CNN) is proposed in thi...
Cellular Neural Networks (CNN) were introduced by L. O. Chua and Lin Yang [1]. The idea of the CNN w...
In this study, we propose Cellular Neural Network with the Preference Theory (PT-CNN). The proposed ...
Abstract:- Analysing neural network edge detection (NNED) is being presented in a new method in orde...
In this paper an image enhancing technique is described. It is based on Shunting Inhibitory Cellular...
Bibliographical references: p. 225-234.xxiv, 285 p. : ill. ; 30 cm.Thesis (Ph.D.)--University of Ade...
Result of edge detection using CNN could be not optimal, because the optimal result is based on temp...
Result of edge detection using CNN could be not optimal, because the optimal result is based on temp...