Synthesis of textured complex backgrounds

    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