Add to ORKGA few years ago, Tsuruta et al. have proposed Small World Cellular Neural Networks (SWCNN). SWCNN is the sys-tem that shortcut connections are introduced into the original CNN and can be applied to some image processing tasks. We have investigated the performance of the SWCNN by chang-ing the structure of the network keeping the number of all branches same and have claried that the SWCNN can real-ize edge detection of gray scale images. In this article, we propose a new SWCNN system for better edge detection of gray scale images. 1
This paper proposes a new approach for edge detec-tion by combining steerable filters and cellular n...
Result of edge detection using CNN could be not optimal, because the optimal result is based on temp...
In this study, we propose Cellular Neural Network with the Preference Theory (PT-CNN). The proposed ...
A few years ago, Tsuruta et al. have proposed Direction-Preserving Small World Cellular Neural Netwo...
A new approach for edge detection of noisy image by cellular neural network (CNN) is proposed in thi...
Abstract—Cellular neural network (CNN) is a large-scale nonlinear analog circuit suitable for real-t...
A cellular neural network (CNN) based edge detector optimized by differential evolution (DE) algorit...
Abstract—The present paper proposes a novel approach for edge detection in satellite images based on...
In previous study, we have proposed “Cellular neural net-works with effect from friend having most d...
In this paper an image enhancing technique is described. It is based on Shunting Inhibitory Cellular...
All anomalies are important in the interpretation of gravity and magnetic data because they indicate...
Cellular Neural Networks (CNN) were introduced by L. O. Chua and Lin Yang [1]. The idea of the CNN w...
Bi-i (Bio-inspired) Cellular Vision system is built mainly on Cellular Neural /Nonlinear Networks (C...
Bibliographical references: p. 225-234.xxiv, 285 p. : ill. ; 30 cm.Thesis (Ph.D.)--University of Ade...
Utilization of artificial neural networks in digital image processing is nothing new. The aim of thi...
This paper proposes a new approach for edge detec-tion by combining steerable filters and cellular n...
Result of edge detection using CNN could be not optimal, because the optimal result is based on temp...
In this study, we propose Cellular Neural Network with the Preference Theory (PT-CNN). The proposed ...
A few years ago, Tsuruta et al. have proposed Direction-Preserving Small World Cellular Neural Netwo...
A new approach for edge detection of noisy image by cellular neural network (CNN) is proposed in thi...
Abstract—Cellular neural network (CNN) is a large-scale nonlinear analog circuit suitable for real-t...
A cellular neural network (CNN) based edge detector optimized by differential evolution (DE) algorit...
Abstract—The present paper proposes a novel approach for edge detection in satellite images based on...
In previous study, we have proposed “Cellular neural net-works with effect from friend having most d...
In this paper an image enhancing technique is described. It is based on Shunting Inhibitory Cellular...
All anomalies are important in the interpretation of gravity and magnetic data because they indicate...
Cellular Neural Networks (CNN) were introduced by L. O. Chua and Lin Yang [1]. The idea of the CNN w...
Bi-i (Bio-inspired) Cellular Vision system is built mainly on Cellular Neural /Nonlinear Networks (C...
Bibliographical references: p. 225-234.xxiv, 285 p. : ill. ; 30 cm.Thesis (Ph.D.)--University of Ade...
Utilization of artificial neural networks in digital image processing is nothing new. The aim of thi...
This paper proposes a new approach for edge detec-tion by combining steerable filters and cellular n...
Result of edge detection using CNN could be not optimal, because the optimal result is based on temp...
In this study, we propose Cellular Neural Network with the Preference Theory (PT-CNN). The proposed ...