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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 different 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... (Update)
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BibTeX entry: (Update)
@inproceedings{ calway93image,
author = "A. D. Calway",
title = "Image analysis using a generalised wavelet transform",
booktitle = "{IEE} Colloquium on Applications of Wavelet Transforms in Image Processing",
publisher = "IEE",
pages = "1--8",
year = "1993",
url = "citeseer.ist.psu.edu/41288.html" }
Citations (may not include all citations):1526 Ten Lectures on Wavelets (context) - Daubechies - 1992
193 Shiftable multiscale transforms - Simoncelli - 1992
19 Time-frequency representation of digital signals and systems.. (context) - Portnoff - 1980
16 A generalised wavelet transform for Fourier analysis: the mu.. (context) - Wilson, Calway et al. - 1992
16 The Multiresolution Fourier Transform: A General Purpose Too.. (context) - Calway - 1989
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
6 Multiresolution estimation of 2-d disparity using a frequenc.. (context) - Calway, Knutsson et al. - 1992
5 Curve extraction in images using a multiresolution framework - Calway, Wilson - 1992
5 Curve extraction in images using the multiresolution Fourier.. - Calway, Wilson - 1990
3 A unified approach to feature extraction based on an inverti.. (context) - Calway, Wilson - 1989
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