Applications of stochastic geometry in image analysis

M.N.M. Lieshout, van

Applications of stochastic geometry in image analysis

M.N.M. Lieshout, van

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Hoofdstuk › Academic

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A discussion is given of various stochastic geometry models (random fields, sequential object processes, polygonal field models) which can be used in intermediate and high-level image analysis. Two examples are presented of actual image analysis problems (motion tracking in video, foreground/background separation) to which these ideas can be applied.

Originele taal-2	Engels
Titel	New perspectives in stochastic geometry
Redacteuren	W.S. Kendall, I.S. Molchanov
Plaats van productie	Oxford
Uitgeverij	Oxford University Press
Pagina's	427-450
ISBN van geprinte versie	978-0-19-923257-4
Status	Gepubliceerd - 2009

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Applications of stochastic geometry in image analysis

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