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Optical Engineering

Contrast enhancement of mammographic features: a comparison of four methods
Author(s): Dirce Braccialarghe; Guillermo H. Kaufmann
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Paper Abstract

The performance of four methods for feature enhancement of mammographic images—optimal adaptive neighborhood image processing, automatic spatial filtering, adaptive histogram equalization, and maximal contrast pixel to pixel—are compared. Each method is tested using a database of 50 mammographic images, which included simulated starshaped nodules. A contrast parameter was used to compare the performance of each processing method. It was found that the maximal contrast pixel-to-pixel method gives the highest contrast value. A mammogram including a real subtle lesion is used to illustrate the usefulness of this last contrast enhancement method in clinical diagnosis.

Paper Details

Date Published: 1 January 1996
PDF: 5 pages
Opt. Eng. 35(1) doi: 10.1117/1.600940
Published in: Optical Engineering Volume 35, Issue 1
Show Author Affiliations
Dirce Braccialarghe, Instituto de Fisica Rosario (Argentina)
Guillermo H. Kaufmann, Univ. Nacional de Rosario (Argentina)

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