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Shape Classification and Analysis : Theory and Practice, Second Edition (Image Processing Series)

By: Roberto Marcond Cesar Jr. (Author) , Luciano da Fona Costa (Author)

Manufacture on Demand

Ksh 44,350.00

Format: Hardback or Cased Book

ISBN-10: 0849379296

ISBN-13: 9780849379291

Collection / Series: Image Processing Series

Collection Type: Publisher collection

Edition Number: 2

Publisher: Taylor & Francis Inc

Imprint: CRC Press Inc

Country of Manufacture: US

Country of Publication: GB

Publication Date: Apr 1st, 2009

Publication Status: Active

Product extent: 692 Pages

Weight: 1122.00 grams

Dimensions (height x width x thickness): 24.00 x 15.80 x 3.80 cms

Product Classification / Subject(s): Image processing

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  • Description

  • Reviews

Shape analysis offers great potential for applications in diverse areas, from materials science to biology and neuroscience. Including numerical tools for characterization, this title presents the advanced imaging techniques for the analysis of general biological shapes, such as cells, tissues, organs, and organisms.

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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