Overview
- Practical applications: shape analysis is used in statistics, biomedical applications (Magnetic Resonance Imaging), and many other related disciplines
- Contributions from some of the leading experts and pioneers in the field
- Self-contained, unified volume is the first comprehensive treatment of theory, methods, algorithms, and programs available in a single resource
- Extensive illustrations throughout help the reader overcome the sometimes terse technical details of the geometric and probabilistic formalism.
- Knowledge of advanced calculus, basic statistics and probability theory are the only prerequisites for the reader
- May be used as a textbook for a graduate-level special topics course in statistics and signal/image analysis, or for an intensive short course on shape analysis and modeling
Part of the book series: Modeling and Simulation in Science, Engineering and Technology (MSSET)
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Table of contents (15 chapters)
Keywords
About this book
Reviews
From the reviews:
"This edited volume is a state-of-the-art collection of papers in digital image processing and analysis. … The book is intellectually stimulating and written for researchers in electrical engineering, computer science, computational statistics, or applied mathematics. It will be useful for presentations in research seminars or in journal clubs in these areas." (Victor Patrangenaru, Journal of the American Statistical Association, Vol. 103 (484), December, 2008)
Editors and Affiliations
Bibliographic Information
Book Title: Statistics and Analysis of Shapes
Editors: Hamid Krim, Anthony Yezzi
Series Title: Modeling and Simulation in Science, Engineering and Technology
DOI: https://doi.org/10.1007/0-8176-4481-4
Publisher: Birkhäuser Boston, MA
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Birkhäuser Boston 2006
Hardcover ISBN: 978-0-8176-4376-8Published: 03 May 2006
eBook ISBN: 978-0-8176-4481-9Published: 31 December 2007
Series ISSN: 2164-3679
Series E-ISSN: 2164-3725
Edition Number: 1
Number of Pages: XII, 396
Number of Illustrations: 143 b/w illustrations
Topics: Mathematical Modeling and Industrial Mathematics, Probability Theory and Stochastic Processes, Statistics for Life Sciences, Medicine, Health Sciences, Visualization, Pattern Recognition, Signal, Image and Speech Processing