Rotationally invariant texture based features

PR Hill, CN Canagarajah, DR Bull

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

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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
Translated title of the contributionRotationally Invariant Texture Based Features
Original languageEnglish
Title of host publicationICIP 2001
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages141 - 144
Volume2
ISBN (Print)0780367251
DOIs
Publication statusPublished - Oct 2001
EventInternational Conference on Image Processing(ICIP) - Thessaloniki, Greece
Duration: 1 Oct 2001 → …

Conference

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

Bibliographical note

Rose publication type: Conference contribution

Terms of use: Copyright © 2001 IEEE. Reprinted from International Conference on Image Processing, 2001 (ICIP2001).

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