Markov point processes and their applications /

Markov point processes and their applications /

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Bibliographic Details
Author / Creator:	Van Lieshout, M. N. M.
Imprint:	London : Imperial College Press, ©2000.
Description:	1 online resource (viii, 175 pages) : illustrations
Language:	English
Subject:	Markov processes. Spatial analysis (Statistics) Stochastic geometry. Markov processes. Spatial analysis (Statistics) Stochastic geometry. Electronic books.
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/11170294

Hidden Bibliographic Details
ISBN:	9781860949760 1860949762 1860940714 9781860940712
Notes:	Includes bibliographical references (pages 157-172) and index. English. Print version record.
Summary:	These days, an increasing amount of information can be obtained in graphical forms, such as weather maps, soil samples, locations of nests in a breeding colony, microscopical slices, satellite images, radar or medical scans and X-ray techniques. "High level" image analysis is concerned with the global interpretation of images, attempting to reduce it to a compact description of the salient features of the scene. This book takes a stochastic approach. It studies Markov object processes, showing that they form a flexible class of models for a range of problems involving the interpretation of spatial data. Applications can be found in statistical physics (under the name of "Gibbs processes"), environmental mapping of diseases, forestry, identification of ore structure in materials science, signal analysis, object recognition, robot vision, and interpretation of images from medical scans or confocal microscopy.
Other form:	Print version: Van Lieshout, M.N.M. Markov point processes and their applications. London : Imperial College Press, ©2000 1860940714

Description
Summary:	These days, an increasing amount of information can be obtained in graphical forms, such as weather maps, soil samples, locations of nests in a breeding colony, microscopical slices, satellite images, radar or medical scans and X-ray techniques. "High level" image analysis is concerned with the global interpretation of images, attempting to reduce it to a compact description of the salient features of the scene.This book takes a stochastic approach. It studies Markov object processes, showing that they form a flexible class of models for a range of problems involving the interpretation of spatial data. Applications can be found in statistical physics (under the name of "Gibbs processes"), environmental mapping of diseases, forestry, identification of ore structure in materials science, signal analysis, object recognition, robot vision, and interpretation of images from medical scans or confocal microscopy.
Physical Description:	1 online resource (viii, 175 pages) : illustrations
Bibliography:	Includes bibliographical references (pages 157-172) and index.
ISBN:	9781860949760 1860949762 1860940714 9781860940712