Last edited by Dunos
Monday, May 4, 2020 | History

1 edition of A Taxonomy for Texture Description and Identification found in the catalog.

A Taxonomy for Texture Description and Identification

by A. Ravishankar Rao

  • 173 Want to read
  • 35 Currently reading

Published by Springer US in New York, NY .
Written in English

    Subjects:
  • Computer hardware,
  • Computer vision,
  • Computer simulation,
  • Computer science,
  • Software engineering

  • About the Edition

    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.

    Edition Notes

    Statementby A. Ravishankar Rao
    SeriesSpringer Series in Perception Engineering, Springer series in perception engineering
    Classifications
    LC ClassificationsTA1637-1638
    The Physical Object
    Format[electronic resource] /
    Pagination1 online resource (xxiii, 198p. 79 illus.)
    Number of Pages198
    ID Numbers
    Open LibraryOL27090851M
    ISBN 101461397790, 1461397774
    ISBN 109781461397793, 9781461397779
    OCLC/WorldCa852788300

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A Taxonomy for Texture Description and Identification by A. Ravishankar Rao Download PDF EPUB FB2

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 by: 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.

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. The book provides a useful attempt to systematize descriptions of optical/visual texture, primarily for the benefit of robotics or computer vision workers.

It's a bit dated by now, but worth having on the shelf as a reference/5(2). : A Taxonomy for Texture Description and Identification (Springer Series in Perception Engineering) () by Rao, A. Ravishankar and a great selection of similar New, Used and Collectible Books available now at great prices.

Presents a solution to the signal to symbol transformation problem for texture. This book provides standardized symbolic descriptions that serve as a descriptive vocabulary for textures. The algorithms developed have been applied to a variety of textured images arising in semiconductor wafer inspection, flow visualization and lumber processing.

A taxonomy for texture description and identification by A. Ravishankar Rao,Springer-Verlag edition, in English. 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. A taxonomy for texture description and identification.

Author: A. Ravishankar Rao: IBM T. Watson Research Center, Yorktown Heights, NY: Publication: Book: A taxonomy for texture description and identification: Springer-Verlag Berlin, Heidelberg © ISBN A taxonomy for texture description and identification: Pages Cited by: • Identification is very different from classification, which is even more problematic • There are several methods for identifying plants • Many books rely on matching a description or illustration with the plant you have in hand • Most people first go to books with color photos, but actually good line drawings can show more detail.

Classification of Endoscopic Images Based on Texture Spectrum. Rao A.(), “ A taxonomy for texture description and and its variants are widely used for texture classification. In this. 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. Taxonomy Book - Free download Ebook, Handbook, Textbook, User Guide PDF files on the internet quickly and easily.

Background: Soil description methodology was developed by soil scientists throughout the entire course of the soil survey. The USDA published small instruction booklets for field parties, including soil descriptions, in –,and The first USDA guide for soil horizon identification and description. A Taxonomy for Texture Description and Identification.

Book. Jan ; texture filtering approach and has been applied to texture characterization and texture classification showing promising.

Cite this chapter as: Rao A.R. () Computing oriented texture fields. In: A Taxonomy for Texture Description and Identification. Springer Series in Perception by:   A Taxonomy for Texture Description and Identification (Springer Series in Perception Engineering). INTRODUCTION In "PRIDE" Special Subject Bulletin #30 ("Stagnation in Data Administration" - J ) I mentioned the concept of a "Data Taxonomy" as used to classify data so it can be standardized, shared and re-used in multiple systems.

This is a concept we first introduced with the advent of the "PRIDE"-Data Base Engineering Methodology (Author: Tim Bryce. ID books are organized around these classification levels. Many times, Family level ID is sufficient for management. For genus or species level ID you need specialized taxonomic keys (if available) or expert assistance.

The Importance of Insect Order and Family identification. Health Care Provider Taxonomy Codes. Last updated Janu with Version The Health Care Provider Taxonomy Code Set is a hierarchical code set that consists of codes, descriptions, and definitions.

Healthcare Provider Taxonomy Codes are designed to categorize the type, classification, and/or specialization of health care providers. A taxonomy is a hierarchical scheme for classifying and identifying organisms.

It was developed by Swedish scientist Carl Linnaeus in the 18th century. In addition to being a valuable tool for biological classification, Linnaeus's system is also useful for scientific : Regina Bailey.Soil Taxonomy Forum.

The Soil Taxonomy Forum is an online discussion site for the U.S. soil classification system titled Soil Taxonomy, A Basic System of Soil Classification for Making and Interpreting Soil Surveys, as well as for the Keys to Soil Taxonomy.

Sponsored by the USDA-NRCS and hosted by Virginia Tech University, the Forum is moderated and encourages free and open discussion .Field Book for Describing and Sampling Soils Version National Soil Survey Center Natural Resources Conservation Service U.S. Department of Agriculture September This document is designed to be printed on 5X7-inch paper.