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Rotationally invariant texture features using the dual-tree complex wavelet transform

Research output: Contribution to conferenceAbstract

Original languageEnglish
Publication dateSep 2000
Pages901 - 904
DOIs
StatePublished

Abstract

New rotationally invariant texture feature extraction methods are introduced that utilise the dual-tree complex wavelet transform (DT-CWT). The complex wavelet transform is a new technique that uses a dual tree of wavelet filters to obtain the real and imaginary parts of complex wavelet coefficients. When applied in two dimensions the DT-CWT produces shift invariant orientated subbands. Both isotropic and anisotropic rotationally invariant features can be extracted from the energies of these subbands. Using simple minimum distance classifiers, the classification performance of the proposed feature extraction methods were tested with rotated sample textures. The anisotropic features gave the best classification results for the rotated texture tests, outperforming a similar method using a real wavelet decomposition

Additional information

Sponsorship: This work was supported by the Virtual Centre of Excellence in Digital Broadcast and Multimedia Technology. The authors acknowledge the support and information provided by Dr N.G. Kingsbury of Cambridge University. Terms of use: Copyright © 2000 IEEE. Reprinted from International Conference on Image Processing, 2000 (ICIP 2000). 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. Name of Conference: International Conference on Image Processing, 2000 (ICIP 2000) Venue of Conference: Vancouver, BC

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