DocumentCode
3274379
Title
A microcalcification enhancement method for mammogram images
Author
Tay, Peter C. ; Hongda Shen ; Adams, Robert D. ; Zhang, James Z.
Author_Institution
Dept. of Eng. & Technol., Western Carolina Univ., Cullowhee, NC, USA
fYear
2013
fDate
15-18 Sept. 2013
Firstpage
1232
Lastpage
1236
Abstract
This paper proposed a novel method to enhance mammogram images used in detecting early signs of breast cancer. The proposed method uses a three level pyramid decomposition scheme that applies the squeeze box filter (SBF) instead of low-pass filtering. A previously proposed non-linear local enhancement technique is applied to the difference images to contrast enhance the structural details of a mammogram image. The enhanced mammogram image is reconstructed by adding the enhanced difference images to the original SBF processed image. The experiment and preliminary results reported in this paper provide evidence of beneficial enhancements provided by the proposed method on mammographic images.
Keywords
cancer; filtering theory; gynaecology; image enhancement; mammography; medical image processing; SBF processed image; breast cancer; difference images; mammogram image; mammographic images; microcalcification enhancement method; nonlinear local enhancement technique; squeeze box filter; three level pyramid decomposition scheme; Breast cancer; Delta-sigma modulation; Image edge detection; Noise; Visualization; Wavelet transforms;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing (ICIP), 2013 20th IEEE International Conference on
Conference_Location
Melbourne, VIC
Type
conf
DOI
10.1109/ICIP.2013.6738254
Filename
6738254
Link To Document