DocumentCode
2335642
Title
Human visual system based mammogram enhancement and analysis
Author
Zhou, Yicong ; Panetta, Karen ; Agaian, Sos
Author_Institution
Dept. of Electr. & Comput. Eng., Tufts Univ., Medford, MA, USA
fYear
2010
fDate
7-10 July 2010
Firstpage
229
Lastpage
234
Abstract
This paper introduces a new mammogram enhancement algorithm using the human visual system (HVS) based image decomposition. A new enhancement measure based on the second derivative is also introduced to measure and assess the enhancement performance. Experimental results show that the presented algorithm can improve the visual quality of fine details in mammograms. The HVS-based image decomposition can segment the regions/objects from their surroundings. It offers the users flexibility to enhance either sub-images containing only significant illumination information or all the sub-images of the original mammograms. The algorithm can be used in the computer-aided diagnosis systems for breast cancer detection.
Keywords
cancer; image enhancement; image resolution; mammography; medical image processing; HVS based image decomposition; breast cancer detection; computer-aided diagnosis system; human visual system; illumination information; mammogram analysis; mammogram enhancement; Artificial neural networks; Humans; Image resolution; Image segmentation; Lighting; Pixel; HVS-based image decomposition; Mammogram enhancement; breast cancer detection; nonlinear filtering;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing Theory Tools and Applications (IPTA), 2010 2nd International Conference on
Conference_Location
Paris
ISSN
2154-5111
Print_ISBN
978-1-4244-7247-5
Type
conf
DOI
10.1109/IPTA.2010.5586759
Filename
5586759
Link To Document