Abstract : The breast cancer is a serious public health problem among women in the world. Efforts in Computer Vision
have been made in order to improve the diagnostic accuracy by radiologists. In this paper a method for detection
of breast cancer based on digital mammogram analysis was presented. Haralick texture features were derived
from spatial grey level dependency (SGLD) matrix. The features were extracted from each Region of interest
(ROIs). The features discriminating to detect abnormal from normal tissues were determined by stepwise linear
discriminant analysis classiﬁer. The proposed method achieved 95.7% of relative accuracy for classiﬁcation of
breast tissues based on digital mammogram texture analysis.
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