Translator Disclaimer
18 December 2001 Image retrieval by spatial topology distances with high-order shape features
Author Affiliations +
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.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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
PROCEEDINGS
7 PAGES


SHARE
Advertisement
Advertisement
RELATED CONTENT

Framework for image mining and retrieval
Proceedings of SPIE (June 22 2003)
Using browsing to improve content-based image retrieval
Proceedings of SPIE (October 04 1998)
Color based properties query for CBIR HSV global color...
Proceedings of SPIE (September 30 2011)
Novel image retrieval technique using salient edges
Proceedings of SPIE (December 18 2001)
Image indexing using a texture dictionary
Proceedings of SPIE (November 20 1995)

Back to Top