title: An image model based on occluding object images and maximum entropy.
abstract: This paper introduces a statistical image model based on occlusion and maximum entropy. The statistical model combines a fundamental property of image formation, occlusion, with both object-image shape and nonuniform object-image intensity. The model is a composition of individual object-images that have random positions, shapes, and intensities, and that occlude both background and one another. We derive the autocorrelation and second-order probability density functions of this model and give several examples.
authors.affiliation: Department of Electrical and Computer Engineering, University of Missouri-Rolla, Rolla, MO 65409-0040, USA. stuller@ece.umr.edu
authors.forename: J A
authors.initials: JA
authors.lastname: Stuller
authors.forename: R
authors.initials: R
authors.lastname: Shah