Choosing the Optimal Spatial Domain Measure of Enhancement for Mammogram Images

Medical imaging systems often require image enhancement, such as improving the image contrast, to provide medical professionals with the best visual image quality. This helps in anomaly detection and diagnosis. Most enhancement algorithms are iterative processes that require many parameters be selec...

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Bibliographic Details
Main Authors: Karen Panetta, Arash Samani, Sos Agaian
Format: Article
Language:English
Published: Hindawi Limited 2014-01-01
Series:International Journal of Biomedical Imaging
Online Access:http://dx.doi.org/10.1155/2014/937849
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spelling doaj-27427b38f209485f945dee6d0fe462062020-11-24T21:07:32ZengHindawi LimitedInternational Journal of Biomedical Imaging1687-41881687-41962014-01-01201410.1155/2014/937849937849Choosing the Optimal Spatial Domain Measure of Enhancement for Mammogram ImagesKaren Panetta0Arash Samani1Sos Agaian2Department of Electrical and Computer Engineering, Tufts University, Medford, MA, USADepartment of Electrical and Computer Engineering, Tufts University, Medford, MA, USADepartment of Electrical and Computer Engineering, University of Texas at San Antonio, San Antonio, TX, USAMedical imaging systems often require image enhancement, such as improving the image contrast, to provide medical professionals with the best visual image quality. This helps in anomaly detection and diagnosis. Most enhancement algorithms are iterative processes that require many parameters be selected. Poor or nonoptimal parameter selection can have a negative effect on the enhancement process. In this paper, a quantitative metric for measuring the image quality is used to select the optimal operating parameters for the enhancement algorithms. A variety of measures evaluating the quality of an image enhancement will be presented along with each measure’s basis for analysis, namely, on image content and image attributes. We also provide guidelines for systematically choosing the proper measure of image quality for medical images.http://dx.doi.org/10.1155/2014/937849
collection DOAJ
language English
format Article
sources DOAJ
author Karen Panetta
Arash Samani
Sos Agaian
spellingShingle Karen Panetta
Arash Samani
Sos Agaian
Choosing the Optimal Spatial Domain Measure of Enhancement for Mammogram Images
International Journal of Biomedical Imaging
author_facet Karen Panetta
Arash Samani
Sos Agaian
author_sort Karen Panetta
title Choosing the Optimal Spatial Domain Measure of Enhancement for Mammogram Images
title_short Choosing the Optimal Spatial Domain Measure of Enhancement for Mammogram Images
title_full Choosing the Optimal Spatial Domain Measure of Enhancement for Mammogram Images
title_fullStr Choosing the Optimal Spatial Domain Measure of Enhancement for Mammogram Images
title_full_unstemmed Choosing the Optimal Spatial Domain Measure of Enhancement for Mammogram Images
title_sort choosing the optimal spatial domain measure of enhancement for mammogram images
publisher Hindawi Limited
series International Journal of Biomedical Imaging
issn 1687-4188
1687-4196
publishDate 2014-01-01
description Medical imaging systems often require image enhancement, such as improving the image contrast, to provide medical professionals with the best visual image quality. This helps in anomaly detection and diagnosis. Most enhancement algorithms are iterative processes that require many parameters be selected. Poor or nonoptimal parameter selection can have a negative effect on the enhancement process. In this paper, a quantitative metric for measuring the image quality is used to select the optimal operating parameters for the enhancement algorithms. A variety of measures evaluating the quality of an image enhancement will be presented along with each measure’s basis for analysis, namely, on image content and image attributes. We also provide guidelines for systematically choosing the proper measure of image quality for medical images.
url http://dx.doi.org/10.1155/2014/937849
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AT arashsamani choosingtheoptimalspatialdomainmeasureofenhancementformammogramimages
AT sosagaian choosingtheoptimalspatialdomainmeasureofenhancementformammogramimages
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