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Proceedings Paper

Image descriptors based on fractal transform analysis
Author(s): Stephen G. Demko; Mehdi Khosravi; Keshi Chen
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Paper Abstract

The Fractal Transform (FT) was originally introduced as a methodology for compressing digital images and representing them at different scales. The process of calculating an FT, generates a great deal of information about the affine similarities and dissimilarities of an image, most of which is discarded in compression applications. In this paper, we introduce the concept of Fractal Transform Analysis, and use it to derive new image descriptors. We present results of experiments in which description schemes comprised of some of these FT-based descriptors are applied to the problems of finding objects in an image, similar to a given object, of indexing images, and of querying an image database consisting of about 17,000 images. Complexity and timing data are also presented.

Paper Details

Date Published: 17 December 1998
PDF: 11 pages
Proc. SPIE 3656, Storage and Retrieval for Image and Video Databases VII, (17 December 1998); doi: 10.1117/12.333857
Show Author Affiliations
Stephen G. Demko, Iterated Systems, Inc. (United States)
Mehdi Khosravi, Iterated Systems, Inc. (United States)
Keshi Chen, Iterated Systems, Inc. (United States)


Published in SPIE Proceedings Vol. 3656:
Storage and Retrieval for Image and Video Databases VII
Minerva M. Yeung; Boon-Lock Yeo; Charles A. Bouman, Editor(s)

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