RANDOM CLOSED SET MODELS: ESTIMATING AND SIMULATING BINARY IMAGES

Ángeles M Gallego, Amelia Simó

Abstract

In this paper we show the use of the Boolean model and a class of RACS models that is a generalization of it to obtain simulations of random binary images able to imitate natural textures such as marble or wood. The different tasks required, parameter estimation, goodness-of-fit test and simulation, are reviewed. In addition to a brief review of the theory, simulation studies of each model are included.

Keywords
Boolean model; germ-grain model; parameter estimation; simulation

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DOI: 10.5566/ias.v22.p133-145

Image Analysis & Stereology
EISSN 1854-5165 (Electronic version)
ISSN 1580-3139 (Printed version)