Texture Analysis in Machine Vision

Front Cover
Matti Pietik inen
World Scientific, 2000 - Computers - 269 pages
d104ure analysis is an important generic research area of machine vision. The potential areas of application include biomedical image analysis, industrial inspection, analysis of satellite or aerial imagery, content-based retrieval from image databases, document analysis, biometric person authentication, scene analysis for robot navigation, texture synthesis for computer graphics and animation, and image coding. d104ure analysis has been a topic of intensive research for over three decades, but the progress has been very slow.A workshop on ?d104ure Analysis in Machine Vision? was held at the University of Oulu, Finland, in 1999, providing a forum for presenting recent research results and for discussing how to make progress in order to increase the usefulness of texture in practical applications. This book contains extended and revised versions of the papers presented at the workshop. The first part of the book deals with texture analysis methodology, while the second part covers various applications. The book gives a unique view of different approaches and applications of texture analysis. It should be of great interest both to researchers of machine vision and to practitioners in various application areas.

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Nonparametric Texture Analysis with Complementary Spatial Operators
Texture Segmentation Based on the Uniformity Testing and Neural
A Texture Classification System Using Statistical and SoftComputing
AffineInvariant Texture Classification Using Regularity Features
Robustness of Local Binary Pattern LBP Operators to TiltCompensated
Multispectral Texture Derivation in Virtual Coloring
Using Texture in Image Similarity and Retrieval
Scale and OrientationInvariant Texture Matching for Image Retrieval
A Survey of TextureBased Methods for Document Layout Analysis
Tongue Texture Analysis Using Gabor Wavelet Opponent Colour
Feature Evaluation of Texture Test Objects for Magnetic Resonance
Automatic Detection of Errors on Textures Using Invariant Grey
Angular Texture Discrimination of Woodgrain Imagery Using
Combining Analysis and Synthesis of Textures for the Animation

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