RANDOM CLOSED SET MODELS: ESTIMATING AND SIMULATING BINARY IMAGES
Keywords:Boolean model, germ-grain model, parameter estimation, simulation
AbstractIn 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.
How to Cite
Gallego, Ángeles M., & Simó, A. (2011). RANDOM CLOSED SET MODELS: ESTIMATING AND SIMULATING BINARY IMAGES. Image Analysis and Stereology, 22(3), 133–145. https://doi.org/10.5566/ias.v22.p133-145
Original Research Paper