Stochastic Geometry for Image Analysis

Beschreibung:

Neuware - This book develops the stochastic geometry framework for imageanalysis purpose. Two main frameworks are described: markedpoint process and random closed sets models. We derive the mainissues for defining an appropriate model. The algorithms forsampling and optimizing the models as well as for estimatingparameters are reviewed. Numerous applications, coveringremote sensing images, biological and medical imaging, aredetailed. This book provides all the necessary tools fordeveloping an image analysis application based on modern stochasticmodeling. Bestandsnummer des Verkäufers 9781848212404

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Über die Autorin bzw. den Autor:

Xavier Descombes is currently research director at INRIA (French research institute dedicated to digital science and technology). His research interests include Markov random fields, stochastic geometry and stochastic modeling in image processing.