DocumentCode :
2415591
Title :
Mammogram enhancement using alpha weighted quadratic filter
Author :
Zhou, Yicong ; Panetta, Karen ; Agaian, Sos
Author_Institution :
Dept. of Electr. & Comput. Eng., Tufts Univ., Medford, MA, USA
fYear :
2009
fDate :
3-6 Sept. 2009
Firstpage :
3681
Lastpage :
3684
Abstract :
Mammograms are widely used to detect breast cancer in women. The quality of the image may suffer from poor resolution or low contrast due to the limitations of the X-ray hardware systems. Image enhancement is a powerful tool to improve the visual quality of mammograms. This paper introduces a new powerful nonlinear filter called the alpha weighted quadratic filter for mammogram enhancement. The user has the flexibility to design the filter by selecting all of the parameters manually or using an existing quantitative measure to select the optimal enhancement parameters. Computer simulations show that excellent enhancement results can be obtained with no apriori knowledge of the mammogram contents. The filter can also be used for automatic segmentation.
Keywords :
cancer; image enhancement; mammography; medical image processing; nonlinear filters; alpha weighted quadratic filter; automatic segmentation; breast cancer; mammogram enhancement; nonlinear filter; optimal enhancement parameters; Adult; Algorithms; Automatic Data Processing; Automation; Breast; Breast Neoplasms; Computer Simulation; Female; Humans; Image Processing, Computer-Assisted; Mammography; Models, Statistical; Reproducibility of Results; Software;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE
Conference_Location :
Minneapolis, MN
ISSN :
1557-170X
Print_ISBN :
978-1-4244-3296-7
Electronic_ISBN :
1557-170X
Type :
conf
DOI :
10.1109/IEMBS.2009.5334723
Filename :
5334723
Link To Document :
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