DocumentCode :
2136986
Title :
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
Link To Document :
بازگشت