Steerable filters generated with the hypercomplex dual-tree wavelet transform

WEDEKIND, J., AMAVASAI, B. P. and DUTTON, K. (2007). Steerable filters generated with the hypercomplex dual-tree wavelet transform. In: IEEE International Conference on Signal Processing and Communications (ICSPC 2007), Dubai, United Arab Emirates, 24-27 November 2007. IEEE, 1291-1294.

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Abstract

The use of wavelets in the image processing domain is still in its infancy, and largely associated with image compression. With the advent of the dual-tree hypercomplex wavelet transform (DHWT) and its improved shift invariance and directional selectivity, applications in other areas of image processing are more conceivable. This paper discusses the problems and solutions in developing the DHWT and its inverse. It also offers a practical implementation of the algorithms involved. The aim of this work is to apply the DHWT in machine vision.

Tentative work on a possible new way of feature extraction is presented. The paper shows that 2-D hypercomplex basis wavelets can be used to generate steerable filters which allow rotation as well as translation.

Item Type:	Conference or Workshop Item (Paper)
Additional Information:	"©2007 IEEE. 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 to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Uncontrolled Keywords:	Image processing, Wavelet transforms, Feature extraction, Algorithms, Linear systems
Research Institute, Centre or Group - Does NOT include content added after October 2018:	Materials and Engineering Research Institute > Modelling Research Centre > Microsystems and Machine Vision Laboratory
Page Range:	1291-1294
Depositing User:	Ann Betterton
Date Deposited:	01 Oct 2007
Last Modified:	18 Mar 2021 13:46
URI:	https://shura.shu.ac.uk/id/eprint/953

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