(Publisher of Peer Reviewed Open Access Journals)

International Journal of Advanced Computer Research (IJACR)

ISSN (Print):2249-7277    ISSN (Online):2277-7970
Volume-2 Issue-7 December-2012
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Paper Title : An Evaluation of Two Mammography Segmentation Techniques
Author Name : Sujata, R. B. Dubey, R. Dhiman, T. J. Singh Chugh
Abstract :

Mammographic mass detection is an important task for early detection of breast cancer diagnosis and treatment. This is however still remains a challenging task. In this paper, we have proposed a multilevel thresholding algorithm for segmenting the tumor. This paper compares two most popular method, namely between class variance (Otsu) and entropy criterion (Kapur’s) methods for segmenting the tumor. Our algorithms are tested on 20 mammograms and showing promising results.

Keywords : Breast cancer, multilevel thresholding, segmentation, Otsu’s method, Kapur’s method.
Cite this article : Sujata, R. B. Dubey, R. Dhiman, T. J. Singh Chugh, " An Evaluation of Two Mammography Segmentation Techniques " , International Journal of Advanced Computer Research (IJACR), Volume-2, Issue-7, December-2012 ,pp.14-19.