Title :
Fast Gray-Contrast Enhancement of X-Ray Imaging for Observing Tiny Characters
Author :
Jiao Feng ; Fu, Desheng
Author_Institution :
Comput. & Software Inst., Nanjing Univ. of Inf. Sci. & Technol., Nanjing
Abstract :
Low-contrast structure can be found in many kinds of digital images, which makes the images vague and uncertainly. A kind of image enhancement processing algorithm for tiny characters is brought forward based on a no-linear grad-contrast operator. The analysis of the algorithm shows that local regions of the image are enhanced by using the concept of the grad contrast to make image clearer adaptively. Experiments were conducted on real pictures, and the results show that the algorithm is flexible and convenient.
Keywords :
diagnostic radiography; image enhancement; medical image processing; X-ray imaging; gray-contrast enhancement; image enhancement processing algorithm; low-contrast structure; nonlinear grad-contrast operator; Biomedical imaging; Digital images; Filtering; Image enhancement; Image quality; Low-frequency noise; Radiographic image enhancement; Radiography; Visualization; X-ray imaging;
Conference_Titel :
Bioinformatics and Biomedical Engineering, 2007. ICBBE 2007. The 1st International Conference on
Conference_Location :
Wuhan
Print_ISBN :
1-4244-1120-3
DOI :
10.1109/ICBBE.2007.181