Abstract
We propose a similarity measure between two textures based on moments of the Fourier magnitude spectrum. The resulting distance is robust to changes in scale as well as to spatial shifts and grey-scale transforms of the texture samples. This type of invariant distance has applications to content-based image retrieval and classification tasks. We test the performance of the algorithm in a retrieval scenario using texture patches from the Brodatz album. The results indicate that the distance measure emulates human similarity perception in comparing textures.
Translated title of the contribution | A scale invariant distance measure for texture retrieval |
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Original language | English |
Title of host publication | 2002 International Conference on Image Processing |
Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
Pages | 424 - 428 |
Number of pages | 4 |
Volume | 1 |
ISBN (Print) | 0780376226 |
DOIs | |
Publication status | Published - Sept 2002 |
Event | International Conference on Image Processing - Rochester, New York, United States Duration: 1 Sept 2002 → … |
Publication series
Name | |
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ISSN (Print) | 15224880 |
Conference
Conference | International Conference on Image Processing |
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Country/Territory | United States |
City | Rochester, New York |
Period | 1/09/02 → … |
Bibliographical note
Rose publication type: Conference contributionSponsorship: This work was supported by EPSRC grant number GR/M84183, under the Link project Autoarch.
Terms of use: Copyright © 2002 IEEE. Reprinted from International Conference on Image Processing 2002.
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