Accession Number : ADA300420
Title : Object Characterization in Greyscale Imagery using Fractal Dimension.
Descriptive Note : Final rept. Jun 93-Dec 94,
Corporate Author : ARMY RESEARCH LAB ADELPHI MD
Personal Author(s) : Beaver, Philip ; Quirik, Stephanie M. ; Sattler, Joseph P.
PDF Url : ADA300420
Report Date : SEP 1995
Pagination or Media Count : 16
Abstract : Local fractal dimension operators can be used to discriminate among objects in greyscale imagery. The mass scaling (box-counting) algorithm for computing local fractal dimension promises real-time results when screening numerous or large images. In this paper we show the ambiguities in the mass scaling technique based on shape and range, we examine previously published algorithms for computing local fractal dimension, we show by example some of their deficiencies, and we propose a new algorithm that solves some of these problems.
Descriptors : *FRACTALS, *IMAGE PROCESSING, ALGORITHMS, SIZES(DIMENSIONS), REAL TIME, TARGET RECOGNITION, SURFACE ROUGHNESS, TARGET DISCRIMINATION, SYNTHETIC APERTURE RADAR, RADAR IMAGES, SCALING FACTOR, PATTERN RECOGNITION, LINEAR REGRESSION ANALYSIS, PIXELS.
Subject Categories : Cybernetics
Active & Passive Radar Detection & Equipment
Distribution Statement : APPROVED FOR PUBLIC RELEASE