A New Contour Detection in Mammogram Using Sequential Edge Linking
ABSTRACT A novel approach is presented to extract the contour of a region of interest (ROI) in mammogram. It combines the threshold segmentation method and sequential edge linking (SEL) algorithm. The salient area is located according to human visual characteristics, and then the optimal threshold is obtained and applied to the whole image. The binary image is processed by the SEL algorithm. Experiments show that the proposed method offers excellent ability to suppress noise and false edges. It can extract the precise and continuous contour of an ROI in mammogram.
Article: Ant Based Edge Linking Algorithm[show abstract] [hide abstract]
ABSTRACT: Times Cited: 0 35th Annual Conference of the IEEE-Industrial-Electronics-Society (IECON 2009) NOV 03-05, 2009 Porto, PORTUGAL01/2009;
Conference Proceeding: Mammogram Enhancement And Segmentation Methods: Classification, Analysis, And Evaluation[show abstract] [hide abstract]
ABSTRACT: Breast cancer is the leading cause of deaths among female cancer patients. Mammography is the most effective technique for breast cancer screening and detection of abnormalities. However, early detection of breast cancer is dependent on both the radiologist’s ability to read mammograms and the quality of mammogram images. The aim of this paper is to conduct a comprehensive survey of existing mammogram enhancement and segmentation techniques. Each method is classified, analyzed, and compared against other approaches. To examine the accuracy of the mammogram enhancement and segmentation techniques, the sensitivity and specificity of the approaches is presented and compared where applicable. Finally, this research provides taxonomy for the available approaches and highlights the best available enhancement and segmentation methods.The 13th International Arab Conference on Information Technology; 12/2012