Moments as projections of an imageโs intensity onto a proper polynomial basis can be applied to many different aspects of image processing. These include invariant pattern recognition, image normalization, image registration, focus/ defocus measurement, and watermarking. This book presents a survey
Moments and Moment Invariants Theory and Applications
โ Scribed by George A. Papakostas
- Publisher
- Science Gate Publishing
- Year
- 2014
- Tongue
- English
- Leaves
- 293
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Table of Contents
Cover
Moments and Moment Invariants - Theory and Applications
ISBN 9786188141810 ISBN 9786188141803
Foreword
Preface
Contents
Chapter 1 - Over 50 Years of Image Moments and Moment Invariants
Chapter 2 - Accuracy Analysis of Moment Functions
Chapter 3 - Derivation of Moment Invariants
Chapter 4 - Moment Invariants for Image Symmetry Estimation and Detection
Chapter 5 - Image Deconvolution in the Moment Domain
Chapter 6 - Local Tchebichef Moments for Texture Analysis
Chapter 7 - 2D and 3D Image Analysis by Gaussian-Hermite Moments
Chapter 8 - Generic Orthogonal Moments and Applications
Chapter 9 - Using Low-Order Auditory Zernike Moments for Robust Music Identification in the Compressed Domain
Chapter 10 - Image Annotation by Moments
Chapter 11 - Should We Consider Adaptivity in Moment-based Image Watermarking
Chapter 12 - Content-Based Image Retrieval Using Zernike Moments for Binary and Grayscale Images
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Moments as projections of an imageโs intensity onto a proper polynomial basis can be applied to many different aspects of image processing. These include invariant pattern recognition, image normalization, image registration, focus/ defocus measurement, and watermarking. This book presents a survey
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