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A Taxonomy for Texture Description and Identification by A. Ravishankar Rao (Eng

Description: A Taxonomy for Texture Description and Identification by A. Ravishankar Rao The symbolic de- scription scheme consists of a novel taxonomy for textures, and is based on appropriate mathematical models for different kinds of texture. Disordered textures are described by statistical mea- sures, strongly ordered textures by the placement of primitives, and weakly ordered textures by an orientation field. FORMAT Paperback LANGUAGE English CONDITION Brand New Publisher Description A central issue in computer vision is the problem of signal to symbol transformation. In the case of texture, which is an important visual cue, this problem has hitherto received very little attention. This book presents a solution to the signal to symbol transformation problem for texture. The symbolic de- scription scheme consists of a novel taxonomy for textures, and is based on appropriate mathematical models for different kinds of texture. The taxonomy classifies textures into the broad classes of disordered, strongly ordered, weakly ordered and compositional. Disordered textures are described by statistical mea- sures, strongly ordered textures by the placement of primitives, and weakly ordered textures by an orientation field. Compositional textures are created from these three classes of texture by using certain rules of composition. The unifying theme of this book is to provide standardized symbolic descriptions that serve as a descriptive vocabulary for textures. The algorithms developed in the book have been applied to a wide variety of textured images arising in semiconductor wafer inspection, flow visualization and lumber processing. The taxonomy for texture can serve as a scheme for the identification and description of surface flaws and defects occurring in a wide range of practical applications. Author Biography A. Ravishankar Rao is a research staff member with the Biometaphorical Computing Group at the IBM T.J. Watson Research Center, Yorktown Heights, New York. He is also an associate editor of the journals Pattern Recognition and Machine Vision and Applications. He was named a Master Inventor at IBM Research in 2004. Table of Contents 1 Introduction.- 1.1 Scope of the book.- 1.2 Importance of texture.- 1.3 Potential applications of this research.- 1.4 Issues in automated process control involving computer vision.- 1.5 A taxonomy for texture.- 1.6 Outline.- 2 Computing oriented texture fields.- 2.1 Introduction.- 2.2 Background.- 2.3 Oriented Texture Fields.- 2.4 Experimental Methods.- 2.5 Experimental Results.- 2.6 Analyzing texture at different scales.- 2.7 Processing of the intrinsic images.- 2.8 Conclusions.- 3 The analysis of oriented textures through phase portraits.- 3.1 Introduction.- 3.2 Background.- 3.3 Geometric theory of differential equations.- 3.4 Experimental Methods.- 3.5 Experimental Results.- 3.6 Experiments with noise addition.- 3.7 A related model from fluid flow analysis.- 3.8 Discussion.- 3.9 Conclusion.- 4 Analyzing strongly ordered textures.- 4.1 Introduction.- 4.2 Extraction of primitives.- 4.3 Extracting structure from primitives.- 4.4 Models for strongly ordered textures.- 4.5 Symbolic descriptions: models from petrography.- 4.6 Frieze groups and wallpaper groups.- 4.7 Implications for computer vision.- 4.8 Summary.- 5 Disordered textures.- 5.1 Statistical measures for disordered textures.- 5.2 Describing disordered textures by means of the fractal dimension.- 5.3 Computing the fractal dimension.- 5.4 Experimental Results.- 5.5 Conclusion.- 6 Compositional textures.- 6.1 Introduction.- 6.2 Primitive textures.- 6.3 A Parametrized symbol set.- 6.4 Three types of composition.- 6.5 Linear combination (transparent overlap).- 6.6 Functional composition.- 6.7 Opaque overlap.- 6.8 Definition of texture.- 6.9 A complete taxonomy for texture.- 6.10 Implementing the taxonomy.- 6.11 Conclusion.- 7 Conclusion.- 7.1 Summary of results.- 7.2 Contributions.- 7.3 Future Work.- B Region Refinement.- C Preparation of the manuscript.- Permissions. Promotional Springer Book Archives Long Description A central issue in computer vision is the problem of signal to symbol transformation. In the case of texture, which is an important visual cue, this problem has hitherto received very little attention. This book presents a solution to the signal to symbol transformation problem for texture. The symbolic de- scription scheme consists of a novel taxonomy for textures, and is based on appropriate mathematical models for different kinds of texture. The taxonomy classifies textures into the broad classes of disordered, strongly ordered, weakly ordered and compositional. Disordered textures are described by statistical mea- sures, strongly ordered textures by the placement of primitives, and weakly ordered textures by an orientation field. Compositional textures are created from these three classes of texture by using certain rules of composition. The unifying theme of this book is to provide standardized symbolic descriptions that serve as a descriptive vocabulary for textures. The algorithms developed in the book have been applied to a wide variety of textured images arising in semiconductor wafer inspection, flow visualization and lumber processing. The taxonomy for texture can serve as a scheme for the identification and description of surface flaws and defects occurring in a wide range of practical applications. Description for Sales People This book solves the signal to symbol transformation problem for texture, an important issue in computer vision. The algorithms developed here have been applied to a wide variety of textured images. Details ISBN1461397790 Author A. Ravishankar Rao Short Title TAXONOMY FOR TEXTURE DESCRIPTI Series Springer Series in Perception Engineering Language English ISBN-10 1461397790 ISBN-13 9781461397793 Media Book Format Paperback Pages 198 Year 2012 Publication Date 2012-07-01 Imprint Springer-Verlag New York Inc. Place of Publication New York, NY Country of Publication United States Affiliation Yorktown Heights, NY, USA Illustrations XXIII, 198 p. DOI 10.1007/978-1-4613-9777-9 AU Release Date 2012-07-01 NZ Release Date 2012-07-01 US Release Date 2012-07-01 UK Release Date 2012-07-01 Publisher Springer-Verlag New York Inc. Edition Description Softcover reprint of the original 1st ed. 1990 Alternative 9780387973029 DEWEY 006.37 Audience Professional & Vocational We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:96325352;

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A Taxonomy for Texture Description and Identification by A. Ravishankar Rao (Eng

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ISBN-13: 9781461397793

Book Title: A Taxonomy for Texture Description and Identification

Number of Pages: 198 Pages

Language: English

Publication Name: A Taxonomy for Texture Description and Identification

Publisher: Springer-Verlag New York Inc.

Publication Year: 2012

Subject: Computer Science

Item Height: 235 mm

Item Weight: 347 g

Type: Textbook

Author: A. Ravishankar Rao

Item Width: 155 mm

Format: Paperback

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