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Proceedings Paper

Application of fractal encoding techniques for image segmentation
Author(s): Regina K. Ferrell; Shaun S. Gleason; Kenneth W. Tobin Jr.
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Paper Abstract

Fractal encoding is the first step in fractal based image compression techniques, but this technique can also be useful outside the image compression field. This paper discusses a fractal encoding technique and some of its variations adapted to the concept of segmenting anomalous regions within an image. The primary goal of this paper is to provide background information on fractal encoding and show application examples to equip the researcher with enough knowledge to apply this technique to other image segmentation applications. After a brief overview of the algorithm, important parameters for successful implementation of fractal encoding are discussed. Included in the discussion is the impact of image characteristics on various parameters or algorithm implementation choices in the context of two applications that have been successfully implemented.

Paper Details

Date Published: 1 May 2003
PDF: 9 pages
Proc. SPIE 5132, Sixth International Conference on Quality Control by Artificial Vision, (1 May 2003); doi: 10.1117/12.514943
Show Author Affiliations
Regina K. Ferrell, Oak Ridge National Lab. (United States)
Shaun S. Gleason, Oak Ridge National Lab. (United States)
Kenneth W. Tobin Jr., Oak Ridge National Lab. (United States)

Published in SPIE Proceedings Vol. 5132:
Sixth International Conference on Quality Control by Artificial Vision
Kenneth W. Tobin Jr.; Fabrice Meriaudeau, Editor(s)

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