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Keywords
- KAP_D003P
About this book
Reviews
From the reviews:
"Mathematical stereology aims to make inference about the properties of random sets in Euclidean space using numerical characteristics of their lower-dimensional sections or projections. The main tools are based on application of methods from stochastic geometry (in particular point processes), convex geometry and geometric measure theory. … The book under review aims to provide an introduction to stereology for non-mathematicians." (Ilya S. Molchanov, Zentralblatt MATH, Vol. 1108 (10), 2007)
Authors and Affiliations
Bibliographic Information
Book Title: Stereology and Stochastic Geometry
Authors: John E. Hilliard, L.R. Lawson
Series Title: Computational Imaging and Vision
Publisher: Springer Dordrecht
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eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media Dordrecht 2003
Softcover ISBN: 978-90-481-6455-4Published: 09 October 2011
Series ISSN: 1381-6446
Edition Number: 1
Number of Pages: XVII, 488
Number of Illustrations: 42 b/w illustrations