DocumentCode
3257937
Title
Breast Cancer Segmentation Using Bacterial Foraging Algorithm
Author
Dubey, R.B. ; Bhatia, Sumit ; Hanmandlu, M. ; Vasikarla, Shantaram
Author_Institution
Electr. & Comm. Eng. Dept., Hindu Coll. of Eng., Sonepat, India
fYear
2013
fDate
15-17 April 2013
Firstpage
541
Lastpage
545
Abstract
A new multilevel thresholding technique using bacterial foraging is proposed for the first time for the segmentation of masses in digital mammograms. The optimal thresholds are found by maximizing Kapur´s entropy and also Otsu´s thresholding function using BF algorithm. The performance of the proposed algorithm has been evaluated on 20 malignant mammogram images and the results are promising.
Keywords
cancer; entropy; image segmentation; mammography; medical image processing; optimisation; BF algorithm; Kapur entropy; Otsu´s thresholding function; bacterial foraging algorithm; breast cancer segmentation; digital mammograms; malignant mammogram images; multilevel thresholding technique; optimal thresholds; Cancer; Histograms; Image segmentation; Linear programming; Magnetic resonance imaging; Microorganisms; Optimization; Image segmentation; bacterial foraging; breast cancer; multilevel thresholding;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Technology: New Generations (ITNG), 2013 Tenth International Conference on
Conference_Location
Las Vegas, NV
Print_ISBN
978-0-7695-4967-5
Type
conf
DOI
10.1109/ITNG.2013.88
Filename
6614362
Link To Document