Research of Radiographic Image Enhancement Technology
Yan Chen, Yanling Shao, Zhiguo Gui
Available Online March 2013.
- https://doi.org/10.2991/iccsee.2013.780How to use a DOI?
- image enhancement , adaptive equalization, local dynamical enhancement
- 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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
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 - Conference 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 -