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Stereology and Stochastic Geometry

Stereology and Stochastic Geometry


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About the Book

Somebody had to do it. The Chinese speak of deep water wells called "grandfather wells" because they take three generations of diggers to complete. Imagine the thought of such a well being abandoned incomplete by the third generation. What a loss! This book is like a grandfather well except that it has taken only two generations, John Hilliard's and mine, to finish. When I saw his manuscript lying in a heap, I decided that I must spend the time to put it and his notes into a publishable form. Now, it is done. This book is mostly about performing spatial measurements through the statistical sampling of images; it is a text on classical stereology as John Hilliard saw it. His vision of the subject was broad. Consequently, its title is broad too. It presents this subject and some of its modem extensions from the classical perspective of the one of the founders of the field, and my first advisor at Northwestern University, John Hilliard. There is nothing new in this book but much that may have been lost over time. It rediscovers many useful discussions about such subjects as the variances of stereo logical measurements, anisotropy etc. It recovers some of the dialogues between John Hilliard and his students on such topics as fractals and Monte Carlo simulations. It recaptures a little of John Hilliard's unique and subtle wit.


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Product Details
  • ISBN-13: 9789048164554
  • Publisher: Springer
  • Publisher Imprint: Springer
  • Depth: 25
  • Height: 235 mm
  • No of Pages: 488
  • Series Title: Computational Imaging and Vision
  • Weight: 750 gr
  • ISBN-10: 9048164559
  • Publisher Date: 09 Oct 2011
  • Binding: Paperback
  • Edition: Softcover reprint of the original 1st ed. 2003
  • Language: English
  • Returnable: Y
  • Spine Width: 0 mm
  • Width: 155 mm


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