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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