Journal ArticleDOI
PCNN models and applications
John L. Johnson,Mary Lou Padgett +1 more
TLDR
The linking field modulation term is shown to be a universal feature of any biologically grounded dendritic model and the PCNN image decomposition (factoring) model is described in new detail.Abstract:
Pulse coupled neural network (PCNN) models are described. The linking field modulation term is shown to be a universal feature of any biologically grounded dendritic model. Applications and implementations of PCNNs are reviewed. Application based variations and simplifications are summarized. The PCNN image decomposition (factoring) model is described in detail.read more
Citations
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Journal ArticleDOI
License Plate Recognition From Still Images and Video Sequences: A Survey
Christos-Nikolaos Anagnostopoulos,Ioannis Anagnostopoulos,I. D. Psoroulas,Vassili Loumos,Eleftherios Kayafas +4 more
TL;DR: This paper offers to researchers a link to a public image database to define a common reference point for LPR algorithmic assessment and issues such as processing time, computational power, and recognition rate are addressed.
Journal ArticleDOI
Image Fusion Algorithm Based on Spatial Frequency-Motivated Pulse Coupled Neural Networks in Nonsubsampled Contourlet Transform Domain
TL;DR: This research presents a probabilistic method to estimate the intensity of the response of the immune system to earthquake-triggered landslides in the Northern Hemisphere.
Journal ArticleDOI
Review article: Review of pulse-coupled neural networks
TL;DR: The research status of pulse-coupled neural networks (PCNN) in the past decade is reviewed, and some existing problems are summarized, while some suggestions for the solutions to some puzzles are given.
Journal ArticleDOI
Multi-focus image fusion using PCNN
Zhaobin Wang,Yide Ma,Jason Gu +2 more
TL;DR: Experimental results show the presented method outperforms existing methods, in both visual effect and objective evaluation criteria, and some practical applications are given further.
Journal ArticleDOI
Medical image fusion using m-PCNN
Zhaobin Wang,Yide Ma +1 more
TL;DR: Experimental results show the proposed novel multi-channel model -m-PCNN can deal with multimodal medical images and outperforms other methods, in both visual effect and objective evaluation criteria.
References
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Pattern recognition computation using action potential timing for stimulus representation
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Journal ArticleDOI
Feature linking via synchronization among distributed assemblies: Simulations of results from cat visual cortex
TL;DR: It is proposed that synchronization is a general principle for the coding of associations in and among sensory systems and that at least two distinct types of synchronization do exist: stimulus-forced (event-locked) synchronization support crude instantaneous associations and stimulus-induced (oscillatory) synchronizations support more complex iterative association processes.
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