Digital Image Processing: PIKS Inside
Digital Image Processing: PIKS Inside
CGIV '05 Proceedings of the International Conference on Computer Graphics, Imaging and Visualization
IMVIP '07 Proceedings of the International Machine Vision and Image Processing Conference
ICIAR '08 Proceedings of the 5th international conference on Image Analysis and Recognition
IWANN '03 Proceedings of the 7th International Work-Conference on Artificial and Natural Neural Networks: Part II: Artificial Neural Nets Problem Solving Methods
Detection of microcalcifications in digital mammograms based on dual-threshold
IWDM'06 Proceedings of the 8th international conference on Digital Mammography
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Breast cancer is one of the leading causes to women mortality in the world. Clusters of Microcalcifications (MCCs) in mammograms can be an important early sign of breast cancer, the detection is important to prevent and treat the disease. Coordinate Logic Filters (CLF), are very efficient in digital signal processing applications, such as noise removal, magnification, opening, closing, skeletonization, and coding, as well as in edge detection, feature extraction, and fractal modelling. This paper presents an edge detector of MCCs in Regions of Interest (ROI) from mammograms using a novel combination. The edge detector consist in the combination of image enhancement by histogram adaptive technique, a Self Organizing Map (SOM) Neural Network and CLF. The experiment results show that the proposed method can locate MCCs edges. Moreover, the proposed method is quantitatively evaluated by Pratt's figure of merit together with two widely used edge detectors and visually compared, achieving the best results.