Digital mammogram enhancement based on ROI enhancement and background suppression
Renbin Peng, Pramod K. Varshney, Hao Chen, James H. Michels · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2008
This paper presents a framework for mammogram enhancement that is based on a selective enhancement technique. Several enhancement algorithms under this framework are developed, which include weighted mean gray value- and fuzzy cross-over point-based thresholding methods, algorithm fusion, iterative enhancement method, and statistical decision theory-based techniques. Using various abnormal mammograms, the presented algorithms prove to be more robust and yield superior performance when compared with six representative enhancement approaches available in the literature.