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Abstract: Introduction The suitability of wavelet transforms #WT# for use in image analysis is well established: a representation in terms of the frequency content of local regions over a range of scales provides an ideal framework for the analysis of image features, which in general are of di#erent size and can often be characterised by their frequency domain properties #1#. However, the standard form of wavelet decomposition, based on the translation and scaling of a single mother wavelet #2#, has its ... (Update)
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BibTeX entry: (Update)
@misc{ ay-image,
author = "Andrew Calw Ay",
title = "Image Analysis Using a Generalised Wavelet Transform",
url = "citeseer.ist.psu.edu/746277.html" }
Citations (may not include all citations):1526 Ten Lectures on Wavelets (context) - Daubechies - 1992
193 Shiftable multiscale transforms - Simoncelli - 1992
24 Multifrequency channel decompositions of images and wavelet .. (context) - Mallat - 1989
16 The Multiresolution Fourier Transform: A General Purpose Too.. (context) - Calway - 1989
16 A generalised wavelet transform for Fourier analysis: the mu.. (context) - Wilson, Calway et al. - 1992
10 Texture analysis using the multiresolution Fourier transform - Hsu, Calway et al.
9 Curve and corner extraction using the multiresolution Fourie.. (context) - Davies, Wilson - 1992
8 disparity using a frequency domain approach (context) - Calway, Knutsson et al. - 1992
4 Time-frequency representation of digital signals and systems.. (context) - Portno - 1980
2 Curve extraction in images using the multiresolution Fourier.. - Calway, Wilson - 1990
2 Curve extraction in images using a multiresolution framework - Calway, Wilson - 1992
1 ed approach to feature extraction based on an invertible ima.. (context) - Calway, Wilson et al. - 1989
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