DocumentCode :
3646457
Title :
Breast segmentation in infrared images
Author :
Seçkin Özsaraç;Gözde Bozdaği Akar
Author_Institution :
fYear :
2012
fDate :
4/1/2012 12:00:00 AM
Firstpage :
1
Lastpage :
4
Abstract :
Breast cancer detection with infrared imaging is a technique that is hazardous radiation free, increases the early detection chance and has a high detection probability. Asymmetry analysis is used for the diagnosis and the analysis is done using the breast segments obtained from the infrared image. In this work, a breast segmentation system based on parabolic Hough transform is presented. Besides, a filtering method using connected components is proposed to increase both the computation speed and the segmentation performance.
Keywords :
"Image segmentation","Breast cancer","Infrared imaging","Histograms","Conferences","USA Councils"
Publisher :
ieee
Conference_Titel :
Signal Processing and Communications Applications Conference (SIU), 2012 20th
Print_ISBN :
978-1-4673-0055-1
Type :
conf
DOI :
10.1109/SIU.2012.6204456
Filename :
6204456
Link To Document :
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