
Wavelet Theory Approach To Pattern Recognition (2nd Edition)
Yuan Yan Tang(Author)
World Scientific Publishing Co Pte Ltd
2nd Edition
Published on 13. July 2009
Book
Hardback
484 pages
978-981-4273-95-4 (ISBN)
Description
The 2nd edition is an update of the book Wavelet Theory and its Application to Pattern Recognition published in 2000. Three new chapters, which are research results conducted during 2001-2008, are added. The book consists of three parts - the first presents a brief survey of the status of pattern recognition with wavelet theory; the second contains the basic theory of wavelet analysis; the third includes applications of wavelet theory to pattern recognition. The new book provides a bibliography of 170 references including the current state-of-the-art theory and applications of wavelet analysis to pattern recognition.
More details
Series
Edition
2nd Revised edition
Language
English
Place of publication
Singapore
Singapore
Target group
College/higher education
Professional and scholarly
Researchers, academics and postgraduate students in pattern recognition/image analysis; machine perception, artificial intelligence and electrical & electronic engineering.
Edition type
Revised edition
Dimensions
Height: 235 mm
Width: 157 mm
Thickness: 30 mm
Weight
843 gr
ISBN-13
978-981-4273-95-4 (9789814273954)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Person
Content
Continuous Wavelet Transforms; Multiresolution Analysis and Wavelet Bases; Some Typical Wavelet Bases; Edge Detection by Wavelet Transform; Construction of New Wavelet Function and Application to Curve Analysis; Feature Extraction by Wavelet Sub-Patterns and Divider Dimension; Document Analysis by Reference Line Detection with 2-D Wavelet Transform; Chinese Character Processing with B-Spline Wavelet Transform; Classifier Design Based on Orthogonal Wavelet Series; Skeletonization of Ribbon-like Shapes with New Wavelet Function; Face Recognition Based on Non-Tensor Product Wavelets.