
- 424 pages
- English
- PDF
- Available on iOS & Android
Handbook Of Texture Analysis
About this book
Texture analysis is one of the fundamental aspects of human vision by which we discriminate between surfaces and objects. In a similar manner, computer vision can take advantage of the cues provided by surface texture to distinguish and recognize objects. In computer vision, texture analysis may be used alone or in combination with other sensed features (e.g. color, shape, or motion) to perform the task of recognition. Either way, it is a feature of paramount importance and boasts a tremendous body of work in terms of both research and applications.Currently, the main approaches to texture analysis must be sought out through a variety of research papers. This collection of chapters brings together in one handy volume the major topics of importance, and categorizes the various techniques into comprehensible concepts. The methods covered will not only be relevant to those working in computer vision, but will also be of benefit to the computer graphics, psychophysics, and pattern recognition communities, academic or industrial.
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Information
Table of contents
- Contents
- Preface
- Chapter 1 Introduction to Texture Analysis E. R. Davies
- Chapter 2 Texture Modelling and Synthesis R. Paget
- Chapter 3 Local Statistical Operators for Texture Classi cation M. Varma and A. Zisserman
- Chapter 4 TEXEMS: Random Texture Representation and Analysis X. Xie and M. Mirmehdi
- Chapter 5 Colour Texture Analysis P. F. Whelan and O. Ghita
- Chapter 6 3D Texture Analysis M. Chantler and M. Petrou
- Chapter 7 Shape, Surface Roughness and Human Perception S. C. Pont and J. J. Koenderink
- Chapter 8 Texture for Appearance Models in Computer Vision and Graphics O. G. Cula and K. J. Dana
- Chapter 9 From Dynamic Texture to Dynamic Shape and Appearance Models G. Doretto and S. Soatto
- Chapter 10 Divide-and-Texture: Hierarchical Texture Description G. Caenen, A. Zalesny, and L. Van Gool
- Chapter 11 A Tutorial on the Practical Implementation of the Trace Transform M. Petrou and F. Wang
- Chapter 12 Face Analysis Using Local Binary Patterns A. Hadid, G. Zhao, T. Ahonen, and M. Pietik ainen
- Chapter 13 A Galaxy of Texture Features X. Xie and M. Mirmehdi
- Index
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