Recent advances in pulse-coupled neural networks with applications in image processing
This paper surveys recent advances in pulse-coupled neural networks (PCNNs) and their
applications in image processing. The PCNN is a neurology-inspired neural network model …
applications in image processing. The PCNN is a neurology-inspired neural network model …
From multi-scale decomposition to non-multi-scale decomposition methods: a comprehensive survey of image fusion techniques and its applications
Image fusion is a well-recognized and a conventional field of image processing. Image
fusion provides an efficient way of enhancing and combining pixel-level data resulting in …
fusion provides an efficient way of enhancing and combining pixel-level data resulting in …
A survey of neuromorphic computing and neural networks in hardware
Neuromorphic computing has come to refer to a variety of brain-inspired computers, devices,
and models that contrast the pervasive von Neumann computer architecture. This …
and models that contrast the pervasive von Neumann computer architecture. This …
A skin-inspired artificial mechanoreceptor for tactile enhancement and integration
Mechanoreceptors endow humans with the sense of touch by translating the external stimuli
into coded spikes, inspiring the rise of artificial mechanoreceptor systems. However, to …
into coded spikes, inspiring the rise of artificial mechanoreceptor systems. However, to …
Learning rules in spiking neural networks: A survey
Spiking neural networks (SNNs) are a promising energy-efficient alternative to artificial
neural networks (ANNs) due to their rich dynamics, capability to process spatiotemporal …
neural networks (ANNs) due to their rich dynamics, capability to process spatiotemporal …
A fusion algorithm for infrared and visible images based on adaptive dual-channel unit-linking PCNN in NSCT domain
In this paper, a novel fusion algorithm based on the adaptive dual-channel unit-linking pulse
coupled neural network (PCNN) for infrared and visible images fusion in nonsubsampled …
coupled neural network (PCNN) for infrared and visible images fusion in nonsubsampled …
Spike encoding with optic sensory neurons enable a pulse coupled neural network for ultraviolet image segmentation
Drawing inspiration from biology, neuromorphic systems are of great interest in direct
interaction and efficient processing of analogue signals in the real world and could be …
interaction and efficient processing of analogue signals in the real world and could be …
A new automatic parameter setting method of a simplified PCNN for image segmentation
An automatic parameter setting method of a simplified pulse coupled neural network
(SPCNN) is proposed here. Our method successfully determines all the adjustable …
(SPCNN) is proposed here. Our method successfully determines all the adjustable …
Nonsubsampled shearlet based CT and MR medical image fusion using biologically inspired spiking neural network
This paper presents a new fusion scheme for the CT and MR medical images that utilizes
both the features of the nonsubsampled shearlet transform (NSST) and spiking neural …
both the features of the nonsubsampled shearlet transform (NSST) and spiking neural …
NSCT-based multimodal medical image fusion using pulse-coupled neural network and modified spatial frequency
In this article, a novel multimodal medical image fusion (MIF) method based on non-
subsampled contourlet transform (NSCT) and pulse-coupled neural network (PCNN) is …
subsampled contourlet transform (NSCT) and pulse-coupled neural network (PCNN) is …