A scale invariant distance measure for texture retrieval

RJ O'Callaghan, DR Bull

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

1 Citation (Scopus)
309 Downloads (Pure)


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 contributionA scale invariant distance measure for texture retrieval
Original languageEnglish
Title of host publication2002 International Conference on Image Processing
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages424 - 428
Number of pages4
ISBN (Print)0780376226
Publication statusPublished - Sept 2002
EventInternational Conference on Image Processing - Rochester, New York, United States
Duration: 1 Sept 2002 → …

Publication series

ISSN (Print)15224880


ConferenceInternational Conference on Image Processing
Country/TerritoryUnited States
CityRochester, New York
Period1/09/02 → …

Bibliographical note

Rose publication type: Conference contribution

Sponsorship: 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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