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Choosing the Optimal Spatial Domain Measure of Enhancement for Mammogram Images
Joint Authors
Samani, Arash
Agaian, Sos S.
Panetta, Karen
Source
International Journal of Biomedical Imaging
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-08-06
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Panetta, Karen& Samani, Arash& Agaian, Sos S.. 2014. Choosing the Optimal Spatial Domain Measure of Enhancement for Mammogram Images. International Journal of Biomedical Imaging،Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-509701
Modern Language Association (MLA)
Panetta, Karen…[et al.]. Choosing the Optimal Spatial Domain Measure of Enhancement for Mammogram Images. International Journal of Biomedical Imaging No. 2014 (2014), pp.1-8.
https://search.emarefa.net/detail/BIM-509701
American Medical Association (AMA)
Panetta, Karen& Samani, Arash& Agaian, Sos S.. Choosing the Optimal Spatial Domain Measure of Enhancement for Mammogram Images. International Journal of Biomedical Imaging. 2014. Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-509701
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-509701