Markov Point Processes And Their Applications
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A01=Marie-colette Van Lieshout
Author_Marie-colette Van Lieshout
Category=PBT
Category=PBWL
Conditional Intensity
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
Gibbs Process
Interaction Modelling
Marked Point Process
Markov Chain Monte Carlo
Markov Point Process
Spatial Inference
Spatial Statistics
Stochastic Geometry
Product details
- ISBN 9781860940712
- Publication Date: 13 Jul 2000
- Publisher: Imperial College Press
- Publication City/Country: GB
- Product Form: Hardback
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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.
