Title :
A Polynomial filtering model for enhancement of mammogram lesions
Author :
Bhateja, Vikrant ; Urooj, Shabana ; Misra, Mano ; Pandey, Ashutosh ; Lay-Ekuakille, Aime
Author_Institution :
Fac. of Electron. & Commun. Eng., Shri Ramswaroop Memorial Univ., Lucknow, India
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.
Keywords :
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; Lesions; Maximum likelihood detection; Microwave filters; Noise; Nonlinear filters; Polynomials; CEM; DDSM; Polynomial filter PSNR; Volterra series; lesion;
Conference_Titel :
Medical Measurements and Applications Proceedings (MeMeA), 2013 IEEE International Symposium on
Conference_Location :
Gatineau, QC
Print_ISBN :
978-1-4673-5195-9
DOI :
10.1109/MeMeA.2013.6549714
