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Chest Radiograph Image Enhancement: A Total Variation Approach
by
Matilda Wilson,
Anthony Y. Aidoo,
Charles H. Acquah,
Peter A. Yirenkyi
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 163 - Number 7 |
| Year of Publication: 2017 |
| Authors: Matilda Wilson, Anthony Y. Aidoo, Charles H. Acquah, Peter A. Yirenkyi |
10.5120/ijca2017913466
|
Matilda Wilson, Anthony Y. Aidoo, Charles H. Acquah, Peter A. Yirenkyi . Chest Radiograph Image Enhancement: A Total Variation Approach. International Journal of Computer Applications. 163, 7 ( Apr 2017), 1-7. DOI=10.5120/ijca2017913466
@article{
10.5120/ijca2017913466,
author = {
Matilda Wilson,
Anthony Y. Aidoo,
Charles H. Acquah,
Peter A. Yirenkyi
},
title = { Chest Radiograph Image Enhancement: A Total Variation Approach },
journal = {
International Journal of Computer Applications
},
issue_date = { Apr 2017 },
volume = { 163 },
number = { 7 },
month = { Apr },
year = { 2017 },
issn = { 0975-8887 },
pages = {
1-7
},
numpages = {9},
url = {
https://ijcaonline.org/archives/volume163/number7/27404-2017913466/
},
doi = { 10.5120/ijca2017913466 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:09:30.087862+05:30
%A Matilda Wilson
%A Anthony Y. Aidoo
%A Charles H. Acquah
%A Peter A. Yirenkyi
%T Chest Radiograph Image Enhancement: A Total Variation Approach
%J International Journal of Computer Applications
%@ 0975-8887
%V 163
%N 7
%P 1-7
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract
Wavelet denoising of medical images relies on the technique of thresholding. A disadvantage of this method is that even though it adequately removes noise in an image, it introduces unwanted artifacts into the image near discontinuities due to Gibbs phenomenon. A total variation method for enhancing chest radiographs is implemented. The approach focuses on lung nodules detection using chest radiographs (CRs) and the method achieves high image sensitivity and could reduce the average number of false positives radiologists encounter.
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