Texture Analysis in Machine Vision (Series in Machine Perception and Artificial Intelligence)

Texture Analysis in Machine Vision (Series in Machine Perception and Artificial Intelligence)


Yazar Matti K. Pietikainen
Yayınevi World Scientific Publishing Co Pte Ltd
ISBN 9789810243739
Baskı yılı 2000
Sayfa sayısı 280
Ağırlık 0.54 kg
Stok durumu Var    Stok detayları
Kargoya teslim Aynı gün kargo

Texture 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. Texture analysis has been a topic of intensive research, but the progress has been very slow. A workshop on "Texture Analysis in Machine Vision" was held at the University of Oulu, Finland, in 1999, providing a forum for presenting 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 work seeks to offer a unique view of different approaches and applications of texture analysis. It should be of interest both to researchers of machine vision and to practitioners in various application areas.
Preface
Methodology 1
Nonparametric Texture Analysis with Complementary Spatial Operators by M. Pietikainen and T. Ojala 3
Selecting Scales for Texture Models by H. Rehrauer and M. Datcu 19
Texture Segmentation Based on the Uniformity Testing and Neural Networks Postprocessing by K. Moscinska and G. Tyma 31
Multi-Resolution Clustering of Texture Images by S. Battiato and G. Gallo 41
A Texture Classification System Using Statistical and Soft-Computing Methods by A. Stolpmann and L. S. Dooley 53
Affine-Invariant Texture Classification Using Regularity Features by D. Chetverikov and Z. Foldvari 69
Robustness of Local Binary Pattern (LBP) Operators to Tilt-Compensated Textures by M. Soriano and T. Ojala and M. Pietikainen 89
An Investigation into Colour Texture Similarity by G. D. Finlayson and G. Y. Tian 101
Multispectral Texture Derivation in Virtual Coloring by V. Botchko and S. Nakauchi and J. Parkkinen 113
Applications 127
Using Texture in Image Similarity and Retrieval by S. Aksoy and R. M. Haralick 129
Scale and Orientation-Invariant Texture Matching for Image Retrieval by W. K. Leow and S. Y. Lai 151
A Survey of Texture-Based Methods for Document Layout Analysis by O. Okun and M. Pietikainen 165
Tongue Texture Analysis Using Gabor Wavelet Opponent Colour Features for Tongue Diagnosis in Traditional Chinese Medicine by P. C. Yuen and Z. Y. Kuang and W. Wu 179
Texture Analysis of X-Ray Images for Detection of Changes in Bone Mass and Structure by A. Materka and P. Cichy and J. Tuliszkiewicz 189
Feature Evaluation of Texture Test Objects for Magnetic Resonance Imaging by A. Materka and M. Strzelecki and R. Lerski 197
Applying Texture Analysis to Industrial Inspection by O. Silven 207
More...
Color Figures 261

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