Digital mammogram enhancement based on ROI enhancement and background suppression

Renbin Peng; Pramod K. Varshney; Hao Chen; James H. Michels

doi:10.1117/12.770649

11 March 2008 Digital mammogram enhancement based on ROI enhancement and background suppression

Renbin Peng, Pramod K. Varshney, Hao Chen, James H. Michels

Proceedings Volume 6914, Medical Imaging 2008: Image Processing; 69141D (2008) https://doi.org/10.1117/12.770649
Event: Medical Imaging, 2008, San Diego, California, United States

Abstract

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.

Citation Download Citation

Renbin Peng, Pramod K. Varshney, Hao Chen, and James H. Michels "Digital mammogram enhancement based on ROI enhancement and background suppression", Proc. SPIE 6914, Medical Imaging 2008: Image Processing, 69141D (11 March 2008); https://doi.org/10.1117/12.770649

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