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Applications of Pulse-Coupled Neural Networks

  • Book
  • © 2010

Overview

  • 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

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Table of contents (9 chapters)

Keywords

About this book

"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.

Reviews

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)

Authors and Affiliations

  • School of Information Science and Engineering, Lanzhou University, Gansu, P. R. China

    Yide Ma, Kun Zhan, Zhaobin Wang

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