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Proceedings Paper

Segmentation of textured images using fractal transformations
Author(s): Takis Kasparis; Nattorn Pongratananukul
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Paper Abstract

This paper presents an approach to textured image segmentation based on a combination of fractal features. The traditionally fractal dimension obtained from the original and pre-processed images and is combined with fractal transformation coefficients. The latter are extracted using methodologies from image compression using Iterated Function Systems (IFS). Experiments have shown that coefficients used in IFS for image reconstruction can also be used as segmentation and classification features. Experimental results with various natural texture measures will be presented.

Paper Details

Date Published: 17 July 2000
PDF: 7 pages
Proc. SPIE 4044, Hybrid Image and Signal Processing VII, (17 July 2000); doi: 10.1117/12.391934
Show Author Affiliations
Takis Kasparis, Univ. of Central Florida (United States)
Nattorn Pongratananukul, Univ. of Central Florida (United States)

Published in SPIE Proceedings Vol. 4044:
Hybrid Image and Signal Processing VII
David P. Casasent; Andrew G. Tescher, Editor(s)

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