Shape Classification and Analysis : Theory and Practice, Second Edition
Language: English
Published by Taylor & Francis Inc Apr 2009, 2009
Series: Book 8 of 8 - Image Processing
- Hardcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Add to basketItem description from seller
Neuware - Shape analysis offers great potential for applications in diverse areas, from materials science to biology and neuroscience. Including numerical tools for characterization, this new edition presents the most advanced imaging techniques for the analysis of general biological shapes, such as cells, tissues, organs, and organisms. Various chapters review the main approaches for shape classification. Although focused on two-dimensional shapes, which are more effectively handled by current technology, the text also covers basic concepts and techniques for three-dimensional shapes. These methods offer a rich resource for the computational characterization and classification of biological shapes.
Seller Inventory # 9780849379291
- Title
- Shape Classification and Analysis : Theory and Practice, Second Edition
- Author
- Luciano da Fona (Cybernetic Vision Research Costa
- Publisher
- Taylor & Francis Inc Apr 2009
- Publication year
- 2009
- Condition
- Neu
- Binding
- Buch
- Language
- English
- ISBN 10
- 0849379296
- ISBN 13
- 9780849379291
- Edition
- 2nd Edition
- Item weight
- 1,122 grams
- Dimensions
- 240x158x38 mm
- Series
- Book 8 of 8: Image Processing
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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About the Author
Luciano da Fontoura Costa is a full professor at the Instituto de Física de São Carlos, University of Sao Paulo, Brazil, and head of the Cybernetic Vision Research Group and the Multidisciplinary Computing Group. He holds BScs in Electronic Engineering and Computer Science, as well as a MSc in Applied Physics and a PhD in Electronic Engineering. Roberto M. Cesar Jr. holds a BSc in Computer Science, a M.Sc. in Electrical Engineering, and a Ph.D in Computational Physics. He is currently a lecturer at the University of Sao Paulo.
"About the title" may belong to another edition of this title.
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