Applications of Pulse-Coupled Neural Networks

Yide Ma

ISBN 10: 364213744X / ISBN 13: 9783642137440

Published by Springer, Berlin, Springer, 2011

About this Item

Druck auf Anfrage Neuware - Printed after ordering - '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.

Seller Inventory # 9783642137440

Bibliographic Details

• Title: Applications of Pulse-Coupled Neural Networks
• Publisher: Springer, Berlin, Springer
• Publication Date: 2011
• Language: English
• ISBN 10: 364213744X
• ISBN 13: 9783642137440
• Binding: Buch
• Condition: Neu
• Dimensions: 235W x 155H x 15D millimeters 235 millimeters width by 155 millimeters height by 15 millimeters depth
• Weight: 432 grams

About this title

Synopsis

"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.

Review

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)