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Rotationally invariant texture based features

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Original languageEnglish
Title of host publicationICIP 2001
Publisher or commissioning bodyInstitute of Electrical and Electronics Engineers (IEEE)
Publication dateOct 2001
Pages141 - 144
Volume2
ISBN (Print)0780367251
DOIs
StatePublished

Conference

ConferenceInternational Conference on Image Processing(ICIP)
CountryGreece
CityThessaloniki
Period1/10/01 → …

Abstract

Content-based retrieval is ultimately dependent on the features used for the annotation of data and its efficiency is dependent on the invariance and robust properties of these features. For texture-based features an important form of invariance is rotational invariance. Novel rotationally invariant texture-based features are introduced that are extracted from a polar Fourier transform (PFT). The PFT is similar to the discrete Fourier transform in two dimensions but uses transform parameters radius and angle rather than the Cartesian co-ordinates. The PFT is discretised appropriately across the angular and radial frequency space with the transform magnitudes forming the rotationally invariant features. These features although rotationally invariant, capture the angular distribution together with the radial distribution of frequency within texture. Preliminary results show the method to give better results than rotationally variant and invariant Gabor filter schemes

Additional information

Rose publication type: Conference contribution Terms of use: Copyright © 2001 IEEE. Reprinted from International Conference on Image Processing, 2001 (ICIP2001). This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Bristol's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.

Documents

DOI

Event

International Conference on Image Processing(ICIP)

Duration1 Oct 2001 → …
CountryGreece
CityThessaloniki

Event: Conference

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