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A log-ratio based unsharp masking (UM) approach for enhancement of digital mammograms

Published: 03 September 2012 Publication History

Abstract

In digital mammographic images the characteristics of lesions get enhanced upon the application of conventional Unsharp Masking (UM) algorithms, but on doing so the pixels go out of range; this constraint can be handled if rescaling process is performed on the enhanced images. The proposed UM approach combines nonlinear enhancement operator (using sigmoid) and region segmentation using log-ratio operators. Unlike linear operators, log-ratio operators eliminate the need of scaling process to be applied on the enhanced images. Experimental results show that the proposed approach offers potential advantage in medical applications by enhancing lesion details in digital mammographic images.

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      cover image ACM Other conferences
      CUBE '12: Proceedings of the CUBE International Information Technology Conference
      September 2012
      879 pages
      ISBN:9781450311854
      DOI:10.1145/2381716
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      Published: 03 September 2012

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      Author Tags

      1. edge preserving filter
      2. log-ratio operators
      3. non-linear enhancement
      4. unsharp masking (UM)

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