Journal Article10.1071/9780643107342.part08
Simulations and Models
01 Apr 2002
pp 327-368
Abstract: How to produce realizations of a spatial stochastic model when they are subject to a set of conditions or constraints? These realizations are called conditional simulations. This paper presents some statistical tools to carry out conditional simulation of spatial stochastic models. This includes regression techniques for the conditional simulation of gaussian random functions, Gibbs sampler for truncated gaussian or plurigaussian random functions, and Metropolis-Hasting algorithm and restriction of a Markov chain for the boolean model.
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References
•Book
Computer and Robot Vision
Robert M. Haralock,Linda G. Shapiro +1 more
- 01 Sep 1991
TL;DR: This two-volume set is an authoritative, comprehensive, modern work on computer vision that covers all of the different areas of vision with a balanced and unified approach.
Topographic distance and watershed lines
TL;DR: The classical shortest paths algorithms of the graph theory are revisited in order to derive new watershed algorithms, which are either new or more easy to implement in hardware.
1.5K
•Book
Mathematical Morphology in Image Processing
Edward R. Dougherty
- 25 Sep 1992
TL;DR: This book is designed to be of interest to optical, electrical and electronics, and electro-optic engineers, including image processing, signal processing, machine vision, and computer vision engineers, applied mathematicians, image analysts and scientists and graduate-level students in image processing and mathematical morphology courses.
799
Fractals, random shapes and point fields : methods of geometrical statistics
Dietrich Stoyan,Helga Stoyan +1 more
TL;DR: In this article, the authors present a method for the determination of Fractal Dimension in Point Field Models, based on the Hausdorff measure and dimension of a point field.
709