Self-Organization of Pulse-Coupled Oscillators with Application to Clustering
IEEE Transactions on Pattern Analysis and Machine Intelligence
SpikeCell: a deterministic spiking neuron
Neural Networks
MICRONEURO '99 Proceedings of the 7th International Conference on Microelectronics for Neural, Fuzzy and Bio-Inspired Systems
Natural Computing: an international journal
Fingerprint orientation field estimation using ridge projection
Pattern Recognition
Fingerprint orientation field estimation using ridge projection
Pattern Recognition
International Journal of Remote Sensing
Image Processing Applications with a PCNN
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Advances in Neural Networks, Part III
Review article: Review of pulse-coupled neural networks
Image and Vision Computing
A new image auto-segmentation algorithm based on PCNN
LSMS'07 Proceedings of the Life system modeling and simulation 2007 international conference on Bio-Inspired computational intelligence and applications
Image and Vision Computing
Spatial Point-Data Reduction Using Pulse Coupled Neural Network
Neural Processing Letters
A neuron-MOS-based VLSI implementation of pulse-coupled neural networks for image feature generation
IEEE Transactions on Circuits and Systems Part I: Regular Papers
ICECS'05 Proceedings of the 4th WSEAS international conference on Electronics, control and signal processing
Image segmentation using watershed transform and feed-back pulse coupled neural network
ICANN'05 Proceedings of the 15th international conference on Artificial Neural Networks: biological Inspirations - Volume Part I
Blood vessel segmentation methodologies in retinal images - A survey
Computer Methods and Programs in Biomedicine
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From the Publisher:PCNN's represent a new advance in imaging technology, allowing images to be refined to levels well beyond that of the original. This volume provides an introduction to the topic by reviewing the theoretical foundations as well as a number of image processing applications, including segmentation, edge extraction, texture extraction, object identification, object isolation, motion processing, noise suppression, and image fusion. This is the first book to cover PCNN technology, an area which will have many applications in medical, military and industrial imaging.