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Proceedings Paper

Digital mammogram enhancement based on ROI enhancement and background suppression
Author(s): Renbin Peng; Pramod K. Varshney; Hao Chen; James H. Michels
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Paper 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.

Paper Details

Date Published: 11 March 2008
PDF: 11 pages
Proc. SPIE 6914, Medical Imaging 2008: Image Processing, 69141D (11 March 2008); doi: 10.1117/12.770649
Show Author Affiliations
Renbin Peng, Syracuse Univ. (United States)
Pramod K. Varshney, Syracuse Univ. (United States)
Hao Chen, Syracuse Univ. (United States)
James H. Michels, JHM Technologies, LLC (United States)

Published in SPIE Proceedings Vol. 6914:
Medical Imaging 2008: Image Processing
Joseph M. Reinhardt; Josien P. W. Pluim, Editor(s)

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