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Proceedings Paper

Hierarchical classification method and its application in shape representation
Author(s): M. A. Ireton; John P. Oakley; Costas S. Xydeas
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Paper Abstract

In this paper we describe a technique for performing shaped-based content retrieval of images from a large database. In order to be able to formulate such user-generated queries about visual objects, we have developed an hierarchical classification technique. This hierarchical classification technique enables similarity matching between objects, with the position in the hierarchy signifying the level of generality to be used in the query. The classification technique is unsupervised, robust, and general; it can be applied to any suitable parameter set. To establish the potential of this classifier for aiding visual querying, we have applied it to the classification of the 2-D outlines of leaves.

Paper Details

Date Published: 1 April 1992
PDF: 12 pages
Proc. SPIE 1662, Image Storage and Retrieval Systems, (1 April 1992); doi: 10.1117/12.58517
Show Author Affiliations
M. A. Ireton, Univ. of Manchester (United Kingdom)
John P. Oakley, Univ. of Manchester (United Kingdom)
Costas S. Xydeas, Univ. of Manchester (United Kingdom)

Published in SPIE Proceedings Vol. 1662:
Image Storage and Retrieval Systems
Albert A. Jamberdino; Carlton Wayne Niblack, Editor(s)

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