Share Email Print
cover

Proceedings Paper

Dimension and lacunarity measurement of IR images using Hilbert scanning
Author(s): Baback Moghaddam; Kenneth J. Hintz; Clayton V. Stewart
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

This paper illustrates the use of fractal geometry and fractal metrics for analysis and characterization of natural textures and clutter in IR images in the wavelength band of 2-5 micrometers . In addition to the local fractal dimension, the lacunarity of textures is also briefly investigated. The addition of lacunarity significantly improves the pattern classification performance and is an important part of a complete fractal description of natural textures. A new measurement technique, based on the statistics of a space-filling curve, is presented. Specifically, a space-filling scan of an image texture is used to estimate the fractal dimension of the corresponding intensity surface. This unique one-dimensional representation is also used for measuring local texture features such as granularity and lacunarity.

Paper Details

Date Published: 1 July 1991
PDF: 12 pages
Proc. SPIE 1486, Characterization, Propagation, and Simulation of Sources and Backgrounds, (1 July 1991); doi: 10.1117/12.45755
Show Author Affiliations
Baback Moghaddam, George Mason Univ. (United States)
Kenneth J. Hintz, George Mason Univ. (United States)
Clayton V. Stewart, George Mason Univ. (United States)


Published in SPIE Proceedings Vol. 1486:
Characterization, Propagation, and Simulation of Sources and Backgrounds
Wendell R. Watkins; Dieter Clement, Editor(s)

© SPIE. Terms of Use
Back to Top