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2016 | OriginalPaper | Chapter

A Comparison of Wavelet and Steerable Pyramid for Classification of Microcalcification in Digital Mammogram

Authors : Khaddouj Taifi, Said Safi, Mohamed Fakir, Rachid Ahdid

Published in: Proceedings of the Mediterranean Conference on Information & Communication Technologies 2015

Publisher: Springer International Publishing

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Abstract

This paper presents a comparative study between wavelet and steerable pyramid transform for microcalcification clusters. Using multiresolution analysis, mammogram images are decomposed into different resolution levels, which are sensitive to different frequency bands, it is important to extract the features in all possible orientations to capture most of the distinguishing information for classification. The experimental results suggest that S-P shows a clear improvement in the classification performance when compared to wavelet (DWT). These multiresolution analysis methods were tested with the referents mammography Base data MIAS Experimental results show that the steerable pyramid method provides a better.

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Metadata
Title
A Comparison of Wavelet and Steerable Pyramid for Classification of Microcalcification in Digital Mammogram
Authors
Khaddouj Taifi
Said Safi
Mohamed Fakir
Rachid Ahdid
Copyright Year
2016
Book
Proceedings of the Mediterranean Conference on Information & Communication Technologies 2015

Print ISBN: 978-3-319-30299-7

Electronic ISBN: 978-3-319-30301-7

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-3-319-30301-7_45