1 June 1992 Discrete random sets: an inverse problem, plus tools for the statistical inference of the discrete Boolean model
Author Affiliations +
Abstract
We consider digital binary images as realizations of a bounded discrete random set, a mathematical object which can be defined directly on a finite lattice. In this setting, we show that it is possible to move between two equivalent probabilistic model specifications. We formulate a restricted version of the discrete-case analog of a Boolean random set model, obtain its probability mass function, and employ some methods of Morphological image analysis to derive tools for its statistical inference.
© (1992) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Nicholaos D. Sidiropoulos, John S. Baras, Carlos A. Berenstein, "Discrete random sets: an inverse problem, plus tools for the statistical inference of the discrete Boolean model", Proc. SPIE 1769, Image Algebra and Morphological Image Processing III, (1 June 1992); doi: 10.1117/12.60630; https://doi.org/10.1117/12.60630
PROCEEDINGS
12 PAGES


SHARE
Back to Top