Applications of Pulse-Coupled Neural Networks

by Yide Ma, Kun Zhan, Zhaobin Wang

Overview

"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.

Product Details

ISBN-13:	9783642137440
Publisher:	Springer Berlin Heidelberg
Publication date:	03/09/2011
Edition description:	2011
Pages:	199
Product dimensions:	6.30(w) x 9.40(h) x 0.70(d)

Table of Contents

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.

Editorial 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)

From the Publisher