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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. Full Product DetailsAuthor: Yide Ma , Kun Zhan , Zhaobin WangPublisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Imprint: Springer-Verlag Berlin and Heidelberg GmbH & Co. K Dimensions: Width: 15.50cm , Height: 1.80cm , Length: 23.50cm Weight: 0.476kg ISBN: 9783642137440ISBN 10: 364213744 Pages: 199 Publication Date: 04 January 2011 Audience: Professional and scholarly , Professional & Vocational Format: Hardback Publisher's Status: Active Availability: In Print ![]() This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of ContentsReviewsFrom 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 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) Author InformationTab Content 6Author Website:Countries AvailableAll regions |