Title :
Improvement of masses detection in digital mammograms employing non-linear filtering
Author :
Bhateja, Vikrant ; Urooj, Shabana ; Pandey, Ashutosh ; Lay-Ekuakille, Aime ; Misra, Mano
Author_Institution :
Fac. of Electron. & Comm. Eng., Shri Ramswaroop Memorial Univ., Lucknow, India
Abstract :
Computer aided detection of mammographic masses can be improved to a greater extent employing non-linear filters for image enhancement. The present work proposes a truncated Volterra filter combination to provide contrast enhancement as well as texture based processing of masses in digital mammograms. Noteworthy improvement in visualization of masses has been observed in the simulation results carried out on cases from DDSM database. The improved performance of the proposed filtering approach is well supported with calculated values of objective evaluation parameters.
Keywords :
image enhancement; image texture; mammography; medical image processing; nonlinear filters; DDSM database; computer aided detection; contrast enhancement; digital mammograms; image enhancement; masses detection; nonlinear filtering; objective evaluation parameters; texture; truncated Volterra filter; Breast cancer; Computers; Conferences; Maximum likelihood detection; Noise; Nonlinear filters; Computer-aided detection; Digital Mammograms; Non-linear filtering; Truncated volterra filter;
Conference_Titel :
Automation, Computing, Communication, Control and Compressed Sensing (iMac4s), 2013 International Multi-Conference on
Conference_Location :
Kottayam
Print_ISBN :
978-1-4673-5089-1
DOI :
10.1109/iMac4s.2013.6526445
