
Texture Analysis In Machine Vision
Matti K. Pietikainen(Editor)
World Scientific Publishing Co Pte Ltd
Published on 16. October 2000
Book
Hardback
280 pages
978-981-02-4373-9 (ISBN)
Description
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 for over three decades, 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 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.
More details
Series
Language
English
Place of publication
Singapore
Singapore
Target group
College/higher education
Professional and scholarly
Product notice
sewn/stitched
Paper over boards
With dust jacket
Dimensions
Height: 219 mm
Width: 161 mm
Thickness: 18 mm
Weight
535 gr
ISBN-13
978-981-02-4373-9 (9789810243739)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Person
Content
Nonparametric texture analysis with complementary spatial operators, M. Pietikainen and T. Ojala; multi-resolution clustering of texture images, S. Battiato and G. Gallo; robustness of local binary pattern (LBP) operators to tilt-compensated textures, M. Soriano et al; using texture in image similarity and retrieval S. Aksoy and R.M. Haralick; tongue texture analysis using Gabor wavelet opponent colour features for tongue diagnosis in traditional Chinese medicine, P.C. Yuen et al; feature evaluation of texture test objects for magnetic resonance imaging, A. Materka et al; automatic detection of errors on textures using invariant grey-scale features and polynomial classifiers, M. Schael and H. Burkhardt; combining analysis and synthesis of textures for the animation industry, M. Ollila et al. (Part contents)