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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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Detalles Bibliográficos
Autores principales: Panetta, Karen, Samani, Arash, Agaian, Sos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4142175/
https://www.ncbi.nlm.nih.gov/pubmed/25177347
http://dx.doi.org/10.1155/2014/937849
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author Panetta, Karen
Samani, Arash
Agaian, Sos
author_facet Panetta, Karen
Samani, Arash
Agaian, Sos
author_sort Panetta, Karen
collection PubMed
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.
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spelling pubmed-41421752014-08-31 Choosing the Optimal Spatial Domain Measure of Enhancement for Mammogram Images Panetta, Karen Samani, Arash Agaian, Sos Int J Biomed Imaging Research Article 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. Hindawi Publishing Corporation 2014 2014-08-06 /pmc/articles/PMC4142175/ /pubmed/25177347 http://dx.doi.org/10.1155/2014/937849 Text en Copyright © 2014 Karen Panetta et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Panetta, Karen
Samani, Arash
Agaian, Sos
Choosing the Optimal Spatial Domain Measure of Enhancement for Mammogram Images
title 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_short Choosing the Optimal Spatial Domain Measure of Enhancement for Mammogram Images
title_sort choosing the optimal spatial domain measure of enhancement for mammogram images
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4142175/
https://www.ncbi.nlm.nih.gov/pubmed/25177347
http://dx.doi.org/10.1155/2014/937849
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