Mammographic feature enhancement by computerized image processing

Atam P. Dhawan, Eric Le Royer

Research output: Contribution to journalArticlepeer-review

62 Scopus citations

Abstract

Mammographic detection of early breast cancer from X-ray film mammograms requires optimal radiological or image processing techniques. We present an image processing approach based on feature adaptive neighborhood processing with a tunable contrast-enhancement function to enhance mammographic features. This procedure brings out the features in the image with little or no enhancement of the noise. Results show that the proposed technique is intelligently tunable to the requirements of enhancement of specific mammographic features such as microcalcifications, soft-tissue characteristics, etc.

Original languageEnglish (US)
Pages (from-to)23-35
Number of pages13
JournalComputer Methods and Programs in Biomedicine
Volume27
Issue number1
DOIs
StatePublished - 1988
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Science Applications
  • Health Informatics

Keywords

  • Adaptive neighborhood processing
  • Contrast enhancement
  • Image processing
  • Mammographic feature enhancement
  • Mammography

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