Introduction to Wavelets and Principal Components Analysis | with Applications in Mammography and Image Query

Sol Neeman

ISBN 10: 3639107284 / ISBN 13: 9783639107289

Published by VDM Verlag Dr. Müller, 2008

About this Item

Introduction to Wavelets and Principal Components Analysis | with Applications in Mammography and Image Query | Sol Neeman | Taschenbuch | Kartoniert / Broschiert | Englisch | 2008 | VDM Verlag Dr. Müller | EAN 9783639107289 | Verantwortliche Person für die EU: OmniScriptum GmbH & Co. KG, Bahnhofstr. 28, 66111 Saarbrücken, info[at]akademikerverlag[dot]de | Anbieter: preigu.

Seller Inventory # 101694714

Bibliographic Details

• Title: Introduction to Wavelets and Principal Components Analysis | with Applications in Mammography and Image Query
• Publisher: VDM Verlag Dr. Müller
• Publication Date: 2008
• Language: English
• ISBN 10: 3639107284
• ISBN 13: 9783639107289
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 9D millimeters 220 millimeters width by 150 millimeters height by 9 millimeters depth
• Weight: 200 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

Wavelet analysis found to have a variety of applications. While other transforms such as the DCT may achieve a better compression ratio, their rule of zeroing small coefficients is applied evenly and globally while in wavelet analysis, the rule of zeroing can be applied locally, preserving small coefficients that account for important minute features (such as in fingerprints). Starting with an introduction to wavelet analysis and some related concepts useful for classification the book provides a coverage of the theory and mathematical foundations of wavelets, the Best Basis, the Joint Best Basis, Principal Component Analysis and the Approximate PCA as well as the application of these tools to derive feature vectors for the classification of mammographic images. This book will be useful as a reference text and will benefit both the audience whose interest is at the conceptual level, as it provides a qualitative description of the underlying ideas of wavelet theory and the audience who is interested also in the theory and mathematical foundations of wavelet analysis and its applications.

About the Author

Sol Neeman, received his B.Sc. in EE from the Technion, Israel and his Ph.D. from the University of Rhode Island in Applied Mathematical Sciences. His areas of interests are image and signal processing, artificial intelligen. Currently he is a professor of EE at Johnson and Wales University and a consultant in image processing.