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Proceedings Paper

Image retrieval by spatial topology distances with high-order shape features
Author(s): Hsin-Chang Yang
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Paper Abstract

We achieved content-based image retrieval by using the shape information contained in a image. A kind of high-order image features which emulate the feature detection process of human eyes were used to represent both input image and the template images stored in a database. Template matching was then applied between the input image and each template image to obtain the retrieval result. The matching process performs a kind of pseudo elastic matching between the feature sets of the input image and each template image. Such elastic matching process, together with the high-order features, provides an excellent approach to measure the dissimilarity, namely the spatial topology distance, between images. The method had been tested on the Columbia Object Image Library database. Preliminary experiments suggested promising result by our approach.

Paper Details

Date Published: 18 December 2001
PDF: 7 pages
Proc. SPIE 4670, Document Recognition and Retrieval IX, (18 December 2001); doi: 10.1117/12.450717
Show Author Affiliations
Hsin-Chang Yang, Chang Jung Univ. (Taiwan)

Published in SPIE Proceedings Vol. 4670:
Document Recognition and Retrieval IX
Paul B. Kantor; Tapas Kanungo; Jiangying Zhou, Editor(s)

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