Parallel Improved Pulse Coupled Neural Network Application for Edge Detection in Image
Processing | CiNii Research CiNii 国立情報学研究所 学術情報ナビゲータ[サイニィ] 詳細へ移動 …

Based on the shortcomings of the traditional edge detection algorithm easily lead to the
brink of fracture and discontinuous, a new improved Pulse-coupled neural network (PCNN) …

Recent researches indicate that pulse coupled neural network can be implemented on
image processing, such as image segmentation and edge detection effectively. However, up …

Recent researches indicate that pulse coupled neural network can be used for image
processing, such as image segmentation and edge detection effectively. However, up to …

In medical applications, the detection and outlining of boundaries of organs and tumors in
computed tomography (CT) and magnetic resonance imaging (MRI) images are …

Biologically inspired image processing algorithms like pulse-coupled neural network find
many applications in image preprocessing such as segmentation and edge extraction. The …

Spiking neural membrane systems (SN P systems) are a class of bio-inspired models
inspired by the activities and connectivity of neurons. Extensive studies have been made on …

This paper presents a novel image edge detection method based on a simplified pulse
coupled neural network with anisotropic interconnections (PCNNAI) by applying an …

The Pulse Coupled Neural Networks model (PCNN) was presented at the end of the 1990s
by Johnson et al., based on the Eckhorn's mammalian visual cortex model. The model has a …

In this paper, we exploit the powerful means of neural networks with respect to function
approximation. Once they are implemented on-chip, they can be reconfigured for adjusting …