Title

Synthesis of textured complex backgrounds

Keywords

Complex backgrounds; Detection; First and second order statistics; Texture synthesis; Textured backgrounds

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. © 1998 Society of Photo-Optical Instrumentation Engineers.

Publication Date

1-1-1998

Publication Title

Optical Engineering

Volume

37

Issue

7

Number of Pages

2055-2063

Document Type

Article

Personal Identifier

scopus

DOI Link

https://doi.org/10.1117/1.602010

Socpus ID

0010611739 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/0010611739

This document is currently not available here.

Share

COinS