期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2018
卷号：96
期号：18
出版社：Journal of Theoretical and Applied
摘要：Due to the need to early detection of the breast cancer, the mammogram images are taken for cancer patient. The poor visibility and weak contrast are usually highlighted as challenges in such mammogram images. These challenges decrease normally the accuracy in computerized mammogram image segmentation. In this work, an effective method has been developed to detect and extract the cancer mass for breast cancer from mammogram images. The proposed method has been developed to first, extracting the breast area (i.e. foreground area) from other objects in mammogram image (i.e. background area). Second, the Mahalanobis distance value has been introduced as a solution for detecting the cancer mass from objects in breast area. The idea behind using the Mahalanobis distance value is the need to decrease the computation complexity and increase the detection accuracy. In addition, the running time of the proposed method has to be reduced. Therefore, the proposed method reduces the running time to approximately 1.2 second. Compared to other methods, the proposed method reduces the running time and avoids the training stage of the cancer mass detection. Furthermore, the proposed method does not resize the original mammogram image in order to keep the original details of the cancer mass.
