A novel background subtraction method to detect microcalcifications

Author

Tay, Peter C. ; Shen, Hongda

Author_Institution

Dept. of Eng. & Technol., Western Carolina Univ., Cullowhee, NC, USA

fYear

2012

fDate

22-24 April 2012

Firstpage

141

Lastpage

144

Abstract

This paper proposes a novel background subtraction method to detect microcalcifications. The proposed method is a Laplacian pyramid scheme with the low pass filter replaced by the squeeze box filter (SBF). The SBF was originally developed to remove speckle noise from medical B mode ultrasound images. The SBF is adapted to identify the background of mammographic images. Thus microcalcifications can be isolated in regions of interest to enhance visual examination or automatic detection methods.

Keywords

automatic optical inspection; biomedical ultrasonics; image enhancement; low-pass filters; mammography; medical image processing; speckle; Laplacian pyramid scheme; SBF; automatic detection methods; background subtraction method; low pass filter; mammographic images; medical B mode ultrasound images; microcalcifications detection; regions of interest; speckle noise removal; squeeze box filter; visual examination enhancement; Breast cancer; Convergence; Delta-sigma modulation; Laplace equations; Noise measurement; Robustness;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Analysis and Interpretation (SSIAI), 2012 IEEE Southwest Symposium on

Conference_Location

Santa Fe, NM

Print_ISBN

978-1-4673-1831-0

Electronic_ISBN

978-1-4673-1829-7

Type

conf

DOI

10.1109/SSIAI.2012.6202473

Filename

6202473