Wavelet Theory Approach to Pattern RecognitioneBook - 2009
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 OCo 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. Sample Chapter(s). Chapter 1: Introduction (3,159 KB). Contents: Continuous Wavelet Transforms; Multiresolution Analysis and Wavelet Bases; Some Typical Wavelet Bases; Step-Edge Detection by Wavelet Transform; Characterization of Dirac-Edges with Quadratic Spline Wavelet Transform; Construction of New Wavelet Function and Application to Curve Analysis; Skeletonization of Ribbon-like Shapes with New Wavelet Function; Feature Extraction by Wavelet Sub-Patterns and Divider Dimensions; 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. Readership: Researchers, academics and postgraduate students in pattern recognition/image analysis; machine perception, artificial intelligence and electrical & electronic engineering.
Publisher: New Jersey : World Scientific, c2009.
Edition: 2nd ed.
Branch Call Number: ELECTRONIC BOOK
Characteristics: 1 online resource (xvii, 463 p.) : ill.
Alternative Title: Wavelet theory and its application to pattern recognition.