Using Renyi's information and wavelets for target detection: an application to mammograms
type: Item
instance of: scholarly article
title: Using Renyi's information and wavelets for target detection: an application to mammograms
zbMATH Open document ID: 0991.68658
author: G. Boccignone
author: A. Chianese
author: A. Picariello
published in: PAA. Pattern Analysis and Applications
publication date: 2002-07-25T00:00:00Z
review text: In this paper we present a multi-scale method for the detection of small targets embedded in noisy background. The multi-scale representation is built using a weighted undecimated discrete wavelet transform. The method, in essence, is based on the maximisation of information available at each resolution level of the representation. We show that such objective can be achieved by maximising Renyi's information. This approach allows us to determine an adaptive threshold useful for discriminating, at each scale, between wavelet coefficients representing targets and those representing background noise. Eventually, avoiding inverse transformation, scale-dependent estimates are combined according to a majority vote strategy. The proposed technique is experimented on a standard data set of mammographic images.
Mathematics Subject Classification ID: 68U99
Mathematics Subject Classification ID: 68T10
Mathematics Subject Classification ID: 92C55
Mathematics Subject Classification ID: 65T60
zbMATH DE Number: 1771513
MaRDI profile type: Publication
full work available at URL: s100440070002
OpenAlex ID: W2130568412
DOI: 10.1007/S100440070002
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description: scientific article; zbMATH DE number 1771513