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.
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.