Identification of abnormalities in mammograms images using methods in the spatial domain
B. Luna-Benoso, J. C. Martinez Perales, Rolando Flores-Carapia, Víctor Manuel Silva-García · Applied Mathematical Sciences · 2013
This paper presents a fast and efficient automated method for segmentation abnormalities present in mammogram images. For this, it uses methods in the spatial domain such as high-boost filter, binarization by thresholding and mainly related components. The method was applied to images obtained from the database mini-MIAS data base (Mammogram Image Analysis Society database (UK)), for this, it has used images that have abnormalities regardless if they are benign or malignant. . Identification of abnormalities in mammograms images 6697