Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)

Research of Radiographic Image Enhancement Technology

Authors
Yan Chen, Yanling Shao, Zhiguo Gui
Corresponding Author
Yan Chen
Available Online March 2013.
DOI
https://doi.org/10.2991/iccsee.2013.780How to use a DOI?
Keywords
image enhancement , adaptive equalization, local dynamical enhancement
Abstract

Image enhancement has applied widely in biomedical, nondestructive testing, satellite remote sensing and other fields. Especially for the low contrast radiographic images, usually there are some disadvantages for a radiographic image such as the local area image does not show a striking contrast. In order to improve the clearness of low contrast radiographic images, in this paper we combined global adaptive equalization with local dynamic enhancement then we simulate this enhancement algorithm. The new method will not only effectively increase the global contrast of low contrast radiographic images, but also intensify local details. Because the new algorithms’ contrast enhancement coefficient function can be adjusted dynamically and locally, the new algorithms are not only adaptive to the process of radiographic images but also having great reference value to the other grayscale images.

Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
Series
Advances in Intelligent Systems Research
Publication Date
March 2013
ISBN
978-90-78677-61-1
ISSN
1951-6851
DOI
https://doi.org/10.2991/iccsee.2013.780How to use a DOI?
Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Yan Chen
AU  - Yanling Shao
AU  - Zhiguo Gui
PY  - 2013/03
DA  - 2013/03
TI  - Research of Radiographic Image Enhancement Technology
BT  - Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
PB  - Atlantis Press
SP  - 2983
EP  - 2985
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccsee.2013.780
DO  - https://doi.org/10.2991/iccsee.2013.780
ID  - Chen2013/03
ER  -