A 2D wavelet-based multiscale approach with applications to the analysis of digital mammograms

A wavelet-based multifractal spectrum (MFS) for the analysis of images that possess an erratically changing oscillatory behavior at various scales is constructed and estimated. The methodology is applied to the analysis of mammograms. The key contribution is that the analysis is not focused on micro...

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Bibliographic Details
Published in:Computational statistics & data analysis 2013-02, Vol.58, p.71-81
Main Authors: Ramírez-Cobo, Pepa, Vidakovic, Brani
Format: Article
Language:English
Subjects:
Breast cancer diagnostic
Image multifractal analysis
Wavelet transform
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Summary:A wavelet-based multifractal spectrum (MFS) for the analysis of images that possess an erratically changing oscillatory behavior at various scales is constructed and estimated. The methodology is applied to the analysis of mammograms. The key contribution is that the analysis is not focused on microcalcifications, but on the background of the image, thus presenting a new modality to be combined with other diagnostic tools. Differences in image backgrounds between malignant and normal cases are found, in terms of multifractal descriptors. The new tool is compared with another spectral method, based on monofractal descriptors.11All codes utilized in this work are available as a supplementary material with the electronic version of the paper.
ISSN:0167-9473
1872-7352
DOI:10.1016/j.csda.2011.09.009