Image retrieval by spatial topology distances with high-order shape features

Hsin-Chang Yang

doi:10.1117/12.450717

18 December 2001 Image retrieval by spatial topology distances with high-order shape features

Hsin-Chang Yang

Proceedings Volume 4670, Document Recognition and Retrieval IX; (2001) https://doi.org/10.1117/12.450717
Event: Electronic Imaging, 2002, San Jose, California, United States

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.

Citation Download Citation

Hsin-Chang Yang "Image retrieval by spatial topology distances with high-order shape features", Proc. SPIE 4670, Document Recognition and Retrieval IX, (18 December 2001); https://doi.org/10.1117/12.450717

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