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Wavelet theory approach to pattern recognition / Yuan Yan Tang.

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Format:
Book
Contributor:
Tang, Yuan Yan, 1943-
Series:
Series in machine perception and artificial intelligence ; v. 74.
Series in machine perception and artificial intelligence ; v. 74
Language:
English
Subjects (All):
Wavelets (Mathematics).
Pattern perception.
Physical Description:
1 online resource (482 p.)
Edition:
2nd ed.
Place of Publication:
New Jersey : World Scientific, c2009.
Language Note:
English
Summary:
The 2nd edition is an update of the book <i>Wavelet Theory and its Application to Pattern Recognition</i> 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
Contents:
Contents; Preface; Chapter 1 Introduction; 1.1 Wavelet: A Novel Mathematical Tool for Pattern Recognition; 1.2 Brief Review of Pattern Recognition with Wavelet Theory; 1.2.1 Iris Pattern Recognition; 1.2.2 Face Recognition Using Wavelet Transform; 1. Wavelet-based PCA Approach; 2. Nonlinear Wavelet Approximation Method; 3. Wavelet Packets Transform for Classification of Facial Images; 1.2.3 Hand Gestures Classification; 1. Visual Hand Gestures Classification UsingWavelet Transforms; 2. Hand Gestures Classification by Wavelet Transforms and Moment Based Features
3. Wavelet Directional Histograms of The Spatio-Temporal Templates of Human Gestures1.2.4 Classification and Clustering; 1. Classifier Design Based on Orthogonal Wavelet Series; 2. Neuro-Wavelet Classifier for Multispectral Remote Sensing Images; 3. Pattern Clustering Based on Noise Modeling in Wavelet Space; 1.2.5 Document Analysis with Wavelets; 1. Form-Document Analysis by Reference Line Detection with 2-D Wavelet Transform; 2. Multiresolution Hadamard Representation and Its Application to Document Image Analysis; 1.2.6 Analysis and Detection of Singularities withWavelets
1. Edge Detection with Local Maximal Modulus of Wavelet Transform2. Detection of Step-Structure Edges by Scale-Independent Algorithm and MASW Wavelet Transform; 1.2.7 Wavelet Descriptors for Shapes of the Objects; 1. Wavelet Descriptor of Planar Curves: Theory and Applications; 2. Wavelet Descriptors for Multiresolution Recognition Of Handprinted Characters; 3. Wavelet-Based Shape form Shading; 4. Representation of 2-D Pattern by 1-D Wavelet Sub-patterns; 5. Wavelet Descriptors for Multiresolution Recognition Of Handprinted Characters; 1.2.8 Invariant Representation of Patterns
1. Extraction of Rotation-Invariant Feature by Ring-projectionwavelet- fractal Method2. Wavelet Rotation-Invariant Shape Descriptors for Recognition of 2-D Pattern; 3. Scale-Invariant Object Recognition Based on the Multiresolution Approximation; 1.2.9 Handwritten and Printed Character Recognition; 1. Wavelet Descriptors for Recognition of Handprinted Characters; 2. Extracting Multiresolution Features in Recognition of Handwritten Numerals with 2-D Haar Wavelet; 3. Wavelet Descriptors for Recognition of Printed Kannada Text in Indian languages; 1.2.10 Texture Analysis and Classification
1. Wavelet correlation signatures for color texture characterization2. Rotation-Invariant Texture Classification Using a Complete Space-Frequency Model; 3. Statistical Texture Characterization from Discrete Wavelet Representation; 4. Adaptive Scale Fixing for Multiscale Texture Segmentation; 5. Combination of Gabor Wavelet Transforms and Moments for Texture Segmentation; 1.2.11 Image Indexing and Retrieval; 1. Wavelet Correlogram; 2. Region Separation and Multiresolution Analysis; 1.2.12 Wavelet-Based Image Fusion; 1.2.13 Others; Chapter 2 Continuous Wavelet Transforms
2.1 General Theory of Continuous Wavelet Transforms
Notes:
1st ed. entitled: Wavelet theory and its application to pattern recognition, by Yuan Yan Tang ... et al.
Includes bibliographical references (p. 451-459) and index.
ISBN:
9786612758171
9781282758179
1282758179
9789814273961
9814273961
OCLC:
879550977

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