Open AccessRANDOM CLOSED SET MODELS: ESTIMATING AND SIMULATING BINARY IMAGES
Author(s) -
Ángeles M Gallego,
Amelia Simó
Publication year - 2011
Publication title -
image analysis and stereology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.237
H-Index - 27
eISSN - 1854-5165
pISSN - 1580-3139
DOI - 10.5566/ias.v22.p133-145
Subject(s) - generalization , binary number , class (philosophy) , set (abstract data type) , computer science , boolean model , algorithm , binary independence model , goodness of fit , artificial intelligence , mathematics , theoretical computer science , discrete mathematics , machine learning , arithmetic , mathematical analysis , programming language
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