Dimension and lacunarity measurement of IR images using Hilbert scanning

Baback Moghaddam; Kenneth J. Hintz; Clayton V. Stewart

doi:10.1117/12.45755

1 July 1991 Dimension and lacunarity measurement of IR images using Hilbert scanning

Baback Moghaddam, Kenneth J. Hintz, Clayton V. Stewart

Proceedings Volume 1486, Characterization, Propagation, and Simulation of Sources and Backgrounds; (1991) https://doi.org/10.1117/12.45755
Event: Orlando '91, 1991, Orlando, FL, United States

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.

Citation Download Citation

Baback Moghaddam, Kenneth J. Hintz, and Clayton V. Stewart "Dimension and lacunarity measurement of IR images using Hilbert scanning", Proc. SPIE 1486, Characterization, Propagation, and Simulation of Sources and Backgrounds, (1 July 1991); https://doi.org/10.1117/12.45755

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