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Texture analysis in machine vision /

"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 auth...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: Workshop on Texture Analysis in Machine Vision
Otros Autores: Pietikäinen, Matti
Formato: Electrónico Congresos, conferencias eBook
Idioma:Inglés
Publicado: Singapore ; River Edge, NJ : World Scientific, ©2000.
Colección:Series in machine perception and artificial intelligence ; vol. 40.
Temas:
Acceso en línea:Texto completo

MARC

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245 0 0 |a Texture analysis in machine vision /  |c editor, M.K. Pietikäinen. 
260 |a Singapore ;  |a River Edge, NJ :  |b World Scientific,  |c ©2000. 
300 |a 1 online resource (viii, 261, 8 pages) :  |b illustrations (some color). 
336 |a text  |b txt  |2 rdacontent 
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490 1 |a Series in machine perception and artificial intelligence ;  |v vol. 40 
500 |a "Workshop on Texture Analysis in Machine Vision was arranged at the University of Oulu, Finland, on June 14-15, 1999"--Preface. 
504 |a Includes bibliographical references. 
588 0 |a Print version record. 
505 0 |a Methodology. Nonparametric texture analysis with complementary spatial operators / M. Pietikainen and T. Ojala -- Selecting scales for texture models / H. Rehrauer and M. Datcu -- Texture segmentation based on the uniformity testing and neural networks postprocessing / K. Moscinska and G. Tyma -- Multi-resolution clustering of texture images / S. Battiato and G. Gallo -- A texture classification system using statistical and soft-computing methods / A. Stolpmann and L. S. Dooley -- Affine-invariant texture classification using regularity features / D. Chetverikov and Z. Foldvari -- Robustness of local binary pattern (LBP) operators to tilt-compensated textures / M. Soriano, T. Ojala and M. Pietikainen -- An investigation into colour texture similarity / G. D. Finlayson and G. Y. Tian -- Multispectral texture derivation in virtual coloring / V. Botchko ... [et al.] -- Applications. Using texture in image similarity and retrieval / S. Aksoy and R. M. Haralick -- Scale and orientation-invariant texture matching for image retrieval / W. K. Leow and S. Y Lai -- A survey of texture-based methods for document layout analysis / O. Okun and M. Pietikainen -- Tongue texture analysis using Gabor wavelet opponent colour features for tongue diagnosis in traditional Chinese medicine / P. C. Yuen ... [et al.] -- Texture analysis of x-ray images for detection of changes in bone mass and structure / A. Materka, P. Cichy and J. Tuliszkiewicz -- Feature evaluation of texture test objects for magnetic resonance imaging / A. Materka ... [et al.] -- Applying texture analysis to industrial inspection / O. Silven -- Automatic detection of errors on textures using invariant grey scale features and polynomial classifiers / M. Schael and H. Burkhardt -- Unsuperviscd segmentation of surface defects with simple texture measures / J. Iivarinen -- Angular texture discrimination of woodgrain imagery using a directionally selective local feature statistics operator / D. Telfer -- Combining analysis and synthesis of textures for the animation industry / M. Ollila, A. Jackson and A. Ardiri. 
520 |a "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." 
590 |a eBooks on EBSCOhost  |b EBSCO eBook Subscription Academic Collection - Worldwide 
650 0 |a Computer vision  |v Congresses. 
650 0 |a Visual texture recognition  |v Congresses. 
650 0 |a Imaging systems  |v Congresses. 
650 0 |a Computer vision  |x Congresses. 
650 0 |a Imaging systems  |x Congresses. 
650 6 |a Vision par ordinateur  |x Congrès. 
650 6 |a Reconnaissance optique des textures  |v Congrès. 
650 6 |a Imagerie (Technique)  |x Congrès. 
650 6 |a Vision par ordinateur  |v Congrès. 
650 6 |a Imagerie (Technique)  |v Congrès. 
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650 7 |a Visual texture recognition  |2 fast 
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700 1 |a Pietikäinen, Matti. 
711 2 |a Workshop on Texture Analysis in Machine Vision  |d (1999 :  |c University of Oulu, Finland) 
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