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
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;
Conference_Titel :
Image Processing (ICIP), 2013 20th IEEE International Conference on
Conference_Location :
Melbourne, VIC
DOI :
10.1109/ICIP.2013.6738254