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Applications of Pulse-Coupled Neural Networks

Autor Yide Ma, Kun Zhan, Zhaobin Wang
en Limba Engleză Hardback – 4 ian 2011
"Applications of Pulse-Coupled Neural Networks" explores the fields of image processing, including image filtering, image segmentation, image fusion, image coding, image retrieval, and biometric recognition, and the role of pulse-coupled neural networks in these fields.This book is intended for researchers and graduate students in artificial intelligence, pattern recognition, electronic engineering, and computer science.Prof. Yide Ma conducts research on intelligent information processing, biomedical image processing, and embedded system development at the School of Information Science and Engineering, Lanzhou University, China.
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Specificații

ISBN-13: 9783642137440
ISBN-10: 364213744X
Pagini: 260
Ilustrații: XI, 199 p.
Dimensiuni: 155 x 235 x 19 mm
Greutate: 0.45 kg
Ediția:2011
Editura: Springer Berlin, Heidelberg
Colecția Springer
Locul publicării:Berlin, Heidelberg, Germany

Public țintă

Research

Descriere

"Applications of Pulse-Coupled Neural Networks" explores the fields of image processing, including image filtering, image segmentation, image fusion, image coding, image retrieval, and biometric recognition, and the role of pulse-coupled neural networks in these fields.This book is intended for researchers and graduate students in artificial intelligence, pattern recognition, electronic engineering, and computer science.Prof. Yide Ma conducts research on intelligent information processing, biomedical image processing, and embedded system development at the School of Information Science and Engineering, Lanzhou University, China.

Cuprins

I. Pulse Coupled Neural Networks.- II. Image filter.- III. Adaptive PCNN Model for Image segment.- IV. Image coding.- V. Image enhancement.- VI. Image fusion.- VII. Feature extraction using entropy.- VIII. Combinatorial Optimization.

Recenzii

From the reviews:
“Pulse-coupled neural networks (PCNNs) are based on the nervous system in the eyes of humans and mammals. The book describes various models of PCNNs, and related image processing algorithms. … This book could serve as a textbook on PCNNs. … Each algorithm features not only the flow of the algorithm, but also a detailed empirical analysis. The book has a very large number of references for researchers.” (Maulik A. Dave, ACM Computing Reviews, August, 2012)

Caracteristici

First book focusing on efficient adaptive pulse coupled neural networks
New spiking cortical models proposed and analysis on their behaviors
Comprehensive and systematical introduction to pulse coupled neural networks
Robust and novel application examples on image processing