Shape Classification and Analysis - Theory and Practice, Second Edition (Hardcover, 2nd edition)

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Because the properties of objects are largely determined by their geometric features, shape analysis and classification are essential to almost every applied scientific and technological area. A detailed understanding of the geometrical features of real-world entities (e.g., molecules, organs, materials and components) can provide important clues about their origin and function. When properly and carefully applied, shape analysis offers an exceedingly rich potential to yield useful applications in diverse areas ranging from material sciences to biology and neuroscience.

Get Access to the Authors Own Cutting-Edge Open-Source Software Projects and Then Actually Contribute to Them Yourself

The authors of Shape Analysis and Classification: Theory and Practice, Second Edition have improved the bestselling first edition by updating the tremendous progress in the field. This exceptionally accessible book presents the most advanced imaging techniques used for analyzing general biological shapes, such as those of cells, tissues, organs, and organisms. It implements numerous corrections and improvements many of which were suggested by readers of the first edition to optimize understanding and create what can truly be called an interactive learning experience.

New Material in This Second Edition Addresses

  • Graph and complex networks
  • Dimensionality reduction
  • Structural pattern recognition
  • Shape representation using graphs

Graphically reformulated, this edition updates equations, figures, and references, as well as slides that will be useful in related courses and general discussion. Like the popular first edition, this text is applicable to many fields and certain to become a favored addition to any library.

Visit http: //www.vision.ime.usp.br/ cesar/shape/ for Useful Software, Databases, and Videos


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Product Description

Because the properties of objects are largely determined by their geometric features, shape analysis and classification are essential to almost every applied scientific and technological area. A detailed understanding of the geometrical features of real-world entities (e.g., molecules, organs, materials and components) can provide important clues about their origin and function. When properly and carefully applied, shape analysis offers an exceedingly rich potential to yield useful applications in diverse areas ranging from material sciences to biology and neuroscience.

Get Access to the Authors Own Cutting-Edge Open-Source Software Projects and Then Actually Contribute to Them Yourself

The authors of Shape Analysis and Classification: Theory and Practice, Second Edition have improved the bestselling first edition by updating the tremendous progress in the field. This exceptionally accessible book presents the most advanced imaging techniques used for analyzing general biological shapes, such as those of cells, tissues, organs, and organisms. It implements numerous corrections and improvements many of which were suggested by readers of the first edition to optimize understanding and create what can truly be called an interactive learning experience.

New Material in This Second Edition Addresses

  • Graph and complex networks
  • Dimensionality reduction
  • Structural pattern recognition
  • Shape representation using graphs

Graphically reformulated, this edition updates equations, figures, and references, as well as slides that will be useful in related courses and general discussion. Like the popular first edition, this text is applicable to many fields and certain to become a favored addition to any library.

Visit http: //www.vision.ime.usp.br/ cesar/shape/ for Useful Software, Databases, and Videos

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Product Details

General

Imprint

Crc Press

Country of origin

United States

Series

Image Processing Series

Release date

April 2009

Availability

Expected to ship within 12 - 17 working days

First published

2009

Authors

,

Series editors

Dimensions

229 x 152 x 38mm (L x W x T)

Format

Hardcover

Pages

685

Edition

2nd edition

ISBN-13

978-0-8493-7929-1

Barcode

9780849379291

Categories

LSN

0-8493-7929-6



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