Abstract
One of the central issues in computer vision is the problem of signal to symbol transformation [44, 102], which really has two components. The first is the choice of symbols to be derived. This is usually ignored or taken for granted. The second is the exact method used to transform the given image into this set of symbols. Researchers in computer vision have usually focussed on this part of the problem. In this book we analyze the symbolic description of textures by first proposing an appropriate set of symbols and then solving the signal to symbol transformation problem for a specific type of texture called oriented texture.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 1990 Springer-Verlag New York, Inc.
About this chapter
Cite this chapter
Rao, A.R. (1990). Introduction. In: A Taxonomy for Texture Description and Identification. Springer Series in Perception Engineering. Springer, New York, NY. https://doi.org/10.1007/978-1-4613-9777-9_1
Download citation
DOI: https://doi.org/10.1007/978-1-4613-9777-9_1
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4613-9779-3
Online ISBN: 978-1-4613-9777-9
eBook Packages: Springer Book Archive