Title :
A new algorithm for breast segmentation in digital mammographic images
Author :
Mello, C.A.B. ; Tenório, T.G.
Author_Institution :
Center of Inf., Fed. Univ. of Pernambuco, Recife, Brazil
Abstract :
A new robust to noise algorithm for mammographic image segmentation is presented in this paper. Its main objective is the separation of breast and background, establishing correctly the boundaries of the breast. The algorithm is a combination of several image processing operations such as histogram specification, re-sampling, histogram adjustment, arithmetic and morphological operations. It was tested in mini-MIAS database of mammograms with very satisfactory results with 97% of correct segmentation.
Keywords :
image sampling; image segmentation; mammography; medical image processing; source separation; arithmetic operation; background separation; breast segmentation; breast separation; digital mammographic image segmentation; histogram adjustment operation; histogram specification; image processing; miniMIAS database; morphological operation; noise algorithm; resampling operation; Breast; Cancer; Databases; Histograms; Image edge detection; Image segmentation; Noise; digital mammographic images; image processing; segmentation;
Conference_Titel :
Systems, Man, and Cybernetics (SMC), 2012 IEEE International Conference on
Conference_Location :
Seoul
Print_ISBN :
978-1-4673-1713-9
Electronic_ISBN :
978-1-4673-1712-2
DOI :
10.1109/ICSMC.2012.6377783
