Fr. 69.00

Pattern Analysis and Understanding

English · Paperback / Softback

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Description

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In this second edition every chapter of the first edition of Pattern Analysis has been updated and expanded. The general view of a system for pattern analysis and understanding has remained unchanged, but many details have been revised. A short account of light and sound has been added to the introduction, some normalization techniques and a basic introduction to morphological operations have been added to the second chapter. Chapter 3 has been expanded significantly by topics like motion, depth, and shape from shading; additional material has also been added to the already existing sections of this chapter. The old sections of Chap. 4 have been reorganized, a general view of the classification problem has been added and material provided to incorporate techniques of word and object recognition and to give a short account of some types of neural nets. Almost no changes have been made in Chap. 5. The part on representation of control structures in Chap. 6 has been shortened, a section on the judgement of results has been added. Chapter 7 has been rewritten almost completely; the section on formal grammars has been reduced, the sections on production systems, semantic networks, and knowledge acquisition have been expanded, and sections on logic and explanation added. The old Chaps. 8 and 9 have been omitted. In summary, the new edition is a thorough revision and extensive update of the first one taking into account the progress in the field during recent years.

List of contents

1. Introduction.- 2. Preprocessing.- 3. Segmentation.- 4. Classification.- 5. Data.- 6. Control.- 7. Knowledge.- References.

Product details

Authors Heinrich Niemann
Publisher Springer, Berlin
 
Languages English
Product format Paperback / Softback
Released 01.01.1990
 
EAN 9783540513780
ISBN 978-3-540-51378-0
No. of pages 371
Weight 552 g
Illustrations XIV, 371 p. 21 illus.
Series Springer Series in Information Sciences
Springer Series in Information Sciences
Subject Natural sciences, medicine, IT, technology > Physics, astronomy > Electricity, magnetism, optics

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