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Pulse-coupled networks

Known as: Pcnn, Pulse-coupled neural networks 
Pulse-coupled networks or pulse-coupled neural networks (PCNNs) are neural models proposed by modeling a cat’s visual cortex, and developed for high… 
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Papers overview

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2016
2016
Multi-focus image fusion technique can solve the problem that not all the targets in an image are clear in case of imaging in the… 
Highly Cited
2013
Highly Cited
2013
Abstract. A new technique for image fusion based on nonsubsampled shearlet transform (NSST) and improved pulse-coupled neural… 
2013
2013
Image decomposition is important to image fusion and affects the information extraction quality, even the whole fusion quality… 
2009
2009
This paper describes an adaptive image-segmentation method based on a simplified pulse-coupled neural network (PCNN) for… 
2005
2005
In this paper, a new multi-modality medical image fusion algorithm based on pulse-coupled neural networks (PCNN) is presented… 
2005
2005
For the pulse-coupled neural network (PCNN) has an inherent ability to segment images, we present a multisensor image fusion… 
Review
1999
Review
1999
Pulse coupled neural networks (PCNN's) have proven to be highly effective when used in a diverse set of applications. The theory…