Abstract—Previous works on breast tissue identification and abnormalities detection notice that the feature extractionprocess is affected if the region processed is not well defined. Thereby, it is important to split the mammogram into regions to achieve optimal breast parenchyma measurements, breast registration or to put into focus a technique when searching for abnormalities. Detection and suppression of pectoral muscle can also help in image registration for further analysis of breast abnormalities In this paper a proposed new automated technique for segmenting a digital mammogram into breast region with pectoral muscle suppression. This technique uses bit depth and edge processes for pectoral muscle detection and suppression.
Index Terms—Digital mammography, pectoral muscle detection.
Farag H. Alhsnony is with the Alexandria University, Alexandria, Egypt (e-mail: Alhsnony@yahoo.com).
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Cite:Farag H. Alhsnony, "A New Technique for Pectoral Muscle Detection," International Journal of Modeling and Optimization vol. 3, no. 2, pp. 125-127, 2013.
