A Taxonomy for Texture Description and Identification

  • A. Ravishankar Rao

Part of the Springer Series in Perception Engineering book series (SSPERCEPTION)

Table of contents

  1. Front Matter
    Pages i-xxiii
  2. A. Ravishankar Rao
    Pages 1-16
  3. A. Ravishankar Rao
    Pages 17-58
  4. A. Ravishankar Rao
    Pages 126-144
  5. A. Ravishankar Rao
    Pages 145-157
  6. A. Ravishankar Rao
    Pages 158-176
  7. A. Ravishankar Rao
    Pages 177-181
  8. Back Matter
    Pages 182-198

About this book


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.


algorithms computer computer vision model semiconductor visualization

Authors and affiliations

  • A. Ravishankar Rao
    • 1
  1. 1.IBM T.J. Watson Research CenterYorktown HeightsUSA

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag New York 1990
  • Publisher Name Springer, New York, NY
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4613-9779-3
  • Online ISBN 978-1-4613-9777-9
  • Series Print ISSN 1431-858X
  • Buy this book on publisher's site