Add to ORKGThe pulse-coupled neuron, which is significantly different from the conventional artificial neuron, is a result of recent research conducted on the visual cortex of cats and monkeys. Pulse-coupled neural networks (PCNNs) are modeled to capture the essence of recent understanding of image interpretation processes in biological neural systems. Study indicates that the PCNN is capable of image smoothing, image segmentation and feature extraction. The PCNN reduces noise in digital images better than traditional smoothing techniques. As an image segmented the PCNN performs well even when the intensity varies significantly within regions, and adjacent regions have overlapping intensity ranges
Abstract — For over a decade, the Pulse Coupled Neural Network (PCNN) based algorithms have been use...
Abstract—A novel approach based on Pulse-Coupled Neural Networks (PCNN) for image change detection i...
This paper proposes a pulse-coupled neural network (PCNN) with multichannel (MPCNN) linking and feed...
The pulse-coupled neuron, which is significantly-different from the conventional artificial neuron, ...
Based on the property of Human vision system (HVS) that human eye's sensitivity to an image varies w...
This paper surveys recent advances in pulse-coupled neural networks (PCNNs) and their applications i...
The Pulse Couple Neural Network (PCNN) was developed by Eckhorn to model the observed synchronizatio...
This research develops an automated method for segmenting Magnetic Resonance (MR) brain images based...
This paper introduces an approach for image segmentation by using pulse coupled neural network (PCNN...
PCNN-pulse coupled neural network, a new artificial neural network based on biology, can be efficien...
PCNN-pulse coupled neural network, a new artificial neural network based on biology, can be efficien...
For over a decade, the Pulse Coupled Neural Network (PCNN) based algorithms have been successfully u...
© 2016, CIMNE, Barcelona, Spain. Pulse-coupled neural networks (PCNN) have an inherent ability to pr...
For over a decade, the Pulse Coupled Neural Network(PCNN) based algorithms have been used for images...
PCNN-pulse coupled neural network, based on the phenomena of synchronous pulse bursts in the animal ...
Abstract — For over a decade, the Pulse Coupled Neural Network (PCNN) based algorithms have been use...
Abstract—A novel approach based on Pulse-Coupled Neural Networks (PCNN) for image change detection i...
This paper proposes a pulse-coupled neural network (PCNN) with multichannel (MPCNN) linking and feed...
The pulse-coupled neuron, which is significantly-different from the conventional artificial neuron, ...
Based on the property of Human vision system (HVS) that human eye's sensitivity to an image varies w...
This paper surveys recent advances in pulse-coupled neural networks (PCNNs) and their applications i...
The Pulse Couple Neural Network (PCNN) was developed by Eckhorn to model the observed synchronizatio...
This research develops an automated method for segmenting Magnetic Resonance (MR) brain images based...
This paper introduces an approach for image segmentation by using pulse coupled neural network (PCNN...
PCNN-pulse coupled neural network, a new artificial neural network based on biology, can be efficien...
PCNN-pulse coupled neural network, a new artificial neural network based on biology, can be efficien...
For over a decade, the Pulse Coupled Neural Network (PCNN) based algorithms have been successfully u...
© 2016, CIMNE, Barcelona, Spain. Pulse-coupled neural networks (PCNN) have an inherent ability to pr...
For over a decade, the Pulse Coupled Neural Network(PCNN) based algorithms have been used for images...
PCNN-pulse coupled neural network, based on the phenomena of synchronous pulse bursts in the animal ...
Abstract — For over a decade, the Pulse Coupled Neural Network (PCNN) based algorithms have been use...
Abstract—A novel approach based on Pulse-Coupled Neural Networks (PCNN) for image change detection i...
This paper proposes a pulse-coupled neural network (PCNN) with multichannel (MPCNN) linking and feed...