Digital mammogram enhancement based on ROI enhancement and background suppression

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

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.

Original languageEnglish (US)
Title of host publicationMedical Imaging 2008
Subtitle of host publicationImage Processing
DOIs
StatePublished - May 22 2008
EventMedical Imaging 2008: Image Processing - San Diego, CA, United States
Duration: Feb 17 2008Feb 19 2008

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume6914
ISSN (Print)1605-7422

Other

OtherMedical Imaging 2008: Image Processing
CountryUnited States
CitySan Diego, CA
Period2/17/082/19/08

Keywords

  • Breast cancer
  • Contrast enhancement
  • Digital mammograms
  • Lesion detection
  • Region of interest

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Biomaterials
  • Atomic and Molecular Physics, and Optics
  • Radiology Nuclear Medicine and imaging

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  • Cite this

    Peng, R., Varshney, P. K., Chen, H., & Michels, J. H. (2008). Digital mammogram enhancement based on ROI enhancement and background suppression. In Medical Imaging 2008: Image Processing [69141D] (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 6914). https://doi.org/10.1117/12.770649