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

fYear

2012

fDate

14-17 Oct. 2012

Firstpage

553

Lastpage

558

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ICSMC.2012.6377783

Filename

6377783