Skip to main content
SpringerLink
Log in

A Taxonomy for Texture Description and Identification

  • Book
  • © 1990

Overview

Authors:
  1. A. Ravishankar Rao

    1. IBM T.J. Watson Research Center, Yorktown Heights, USA

    View author publications

    You can also search for this author in PubMed   Google Scholar

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

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (7 chapters)

  1. Front Matter

    Pages i-xxiii
    Download chapter PDF

  2. Introduction

    • A. Ravishankar Rao
    Pages 1-16

  3. Computing oriented texture fields

    • A. Ravishankar Rao
    Pages 17-58

  4. The analysis of oriented textures through phase portraits

    • A. Ravishankar Rao
    Pages 59-125

  5. Analyzing strongly ordered textures

    • A. Ravishankar Rao
    Pages 126-144

  6. Disordered textures

    • A. Ravishankar Rao
    Pages 145-157

  7. Compositional textures

    • A. Ravishankar Rao
    Pages 158-176

  8. Conclusion

    • A. Ravishankar Rao
    Pages 177-181

  9. Back Matter

    Pages 182-198
    Download chapter PDF
Back to top

Keywords

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.

Authors and Affiliations

  • IBM T.J. Watson Research Center, Yorktown Heights, USA

    A. Ravishankar Rao

Bibliographic Information

Publish with us

Policies and ethics

Back to top

Search

Navigation