Applications of Pulse-Coupled Neural Networks
Autor Yide Ma, Kun Zhan, Zhaobin Wangen Limba Engleză Hardback – 4 ian 2011
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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
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
ResearchCuprins
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)
“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