AN IMAGE MODEL-BASED ON OCCLUDING OBJECT IMAGES AND MAXIMUM-ENTROPY

Authors
STULLER JA SHAH R
Citation
Ja. Stuller et R. Shah, AN IMAGE MODEL-BASED ON OCCLUDING OBJECT IMAGES AND MAXIMUM-ENTROPY, IEEE transactions on image processing, 7(9), 1998, pp. 1300-1310
Citations number
19
Categorie Soggetti
Computer Science Software Graphycs Programming","Computer Science Theory & Methods","Engineering, Eletrical & Electronic","Computer Science Software Graphycs Programming","Computer Science Theory & Methods
Journal title
IEEE transactions on image processing → ACNP
ISSN journal
10577149
Volume
7
Issue
9
Year of publication
1998
Pages
1300 - 1310
Database
ISI
SICI code
1057-7149(1998)7:9<1300:AIMOOO>2.0.ZU;2-T
Abstract
This paper introduces a statistical image model based on occlusion and maximum entropy. The statistical model combines a fundamental propert y of image formation, occlusion, with both object-image shape and nonu niform object-image intensity. The model is a composition of individua l object-images that have random positions, shapes, and intensities, a nd that occlude both background and one another. We derive the autocor relation and second-order probability density functions of this model and give several examples.