Pulse-coupled neural networks (PCNN) have an inherent ability to process the signals
associated with the digital visual images because it is inspired from the neuronal activity in …

Recent many researchers focus on image segmentation methods due to the rapid
development of artificial intelligence technology. Hereinto, pulse-coupled neural network …

An automatic parameter setting method of a simplified pulse coupled neural network
(SPCNN) is proposed here. Our method successfully determines all the adjustable …

In this paper, we propose a region-based object recognition (RBOR) method to identify
objects from complex real-world scenes. First, the proposed method performs color image …

Linking synaptic computation network is proposed. The linking synapse is introduced into
the neural network inspired by the gamma band oscillations in visual cortical neurons, and …

Inspired by gamma-band oscillations and other neurobiological discoveries, neural
networks research shifts the emphasis toward temporal coding, which uses explicit times at …

Purpose: To develop a neural‐network based autocontouring algorithm for intrafractional
lung‐tumor tracking using Linac‐MR and evaluate its performance with phantom and in‐vivo …

Plant recognition recently becomes more and more attractive in computer vision and pattern
recognition. Although some researchers have proposed several methods, their accuracy is …

Abstract Spiking Cortical Model (SCM) is derived from primate visual cortex. It has a high
sensitivity for low intensities of stimulus, but low sensitivity for high intensities, and is suitable …

In this paper we discuss some main image processing techniques in order to propose a
classification based upon the output these methods provide. Because despite a particular …