Title

Synthesis of textured complex backgrounds

Authors

Authors

J. P. Rolland; A. A. Goon;L. Y. Yu

Comments

Authors: contact us about adding a copy of your work at STARS@ucf.edu

Abbreviated Journal Title

Opt. Eng.

Keywords

textured backgrounds; complex backgrounds; texture synthesis; first and; second order statistics; detection; TRANSFORMS; MAMMOGRAMS; MODELS; Optics

Abstract

The statistical characterization of realistic, complex backgrounds where targets may be embedded is essential in the optimization of methods for target acquisition. A modeling framework for complex backgrounds that yields perceptually realistic images may provide a path towards such essential characterizations. To this end, we developed a framework for the synthesis of statistical textured backgrounds. The results of the syntheses of three rock-like structures and that of grass indicate some of the capabilities of the framework. We further extended the methods to synthesize biological tissue samples which present two forms of background complexity: a slowly, spatially varying mean-background and a residual texture image. The extended framework allows synthesis of each component independently. A mathematical phantom for modeling inhomogeneous backgrounds is then proposed. First and second order statistics of various textures are then presented and a measure of distance between two images is proposed. Finally we discuss how such a framework may lead to effective statistical descriptions of such complex backgrounds for target acquisition. (C) 1998 Society of Photo-Optical Instrumentation Engineers.

Journal Title

Optical Engineering

Volume

37

Issue/Number

7

Publication Date

1-1-1998

Document Type

Article

Language

English

First Page

2055

Last Page

2063

WOS Identifier

WOS:000074754700018

ISSN

0091-3286

Share

COinS