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

Medicine

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