Paper Info
Title
A Polynomial filtering model for enhancement of mammogram lesions.
Abstract
This paper presents a preliminary analysis of a class of non-linear filters for enhancement of mammogram lesions. A non-linear filtering approach employing polynomial model of non-linearity is designed by second order truncation of Volterra series expansion. The proposed filter response is a linear combination of Type-0 and Type-II Volterra filters. Type-0 filter provides contrast enhancement, suppressing the ill-effects of background noise. On the other hand, Type-II filter employs edge enhancement. The objective analysis of the proposed filter is carried out by estimating values of quality parameters like CEM and PSNR on mammograms from MIAS and DDSM databases.
Year
DOI
Venue
2013
10.1109/MeMeA.2013.6549714
MeMeA
Keywords
Field
DocType
mammography,medical image processing,nonlinear filters,polynomials,DDSM database,MIAS database,Type-0 Volterra filters,Type-II Volterra filters,Volterra series expansion,background noise,mammogram lesion enhancement,nonlinear filters,polynomial filtering model,second order truncation,CEM,DDSM,Polynomial filter PSNR,Volterra series,lesion
Truncation,Computer vision,Linear combination,Background noise,Polynomial,Algorithm,Filter (signal processing),Volterra series,Artificial intelligence,Mathematics,Polynomial and rational function modeling,Edge enhancement
Conference
Citations 
PageRank 
References 
9
0.58
7
Authors
5
Name
Order
Citations
PageRank
Vikrant Bhateja110713.48
Shabana Urooj2609.48
Mukul Misra3232.23
Ashutosh Pandey4254.52
Aimé Lay-Ekuakille57121.29