Synthesis-based scalable image enhancement for digital radiography

被引:0
|
作者
Yin, LJ [1 ]
Chang, JK [1 ]
Basu, A [1 ]
机构
[1] SUNY Binghamton, Dept Comp Sci, Binghamton, NY 13902 USA
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The ability to resolve fine picture detail is of paramount importance in medical imaging system when it comes to view small tissue, bone structure and anatomy in x-ray images. In order to enhance diagnostic information and suppress irrelevant detail, in this paper, we present a new digital x-ray imaging processing system with the property of scalability and adaptability. First, a new optimum contrast enhancement algorithm is proposed for display. The adaptive detection of the region-of-interest is developed. Second, a so called "scalable edge enhancement algorithm" is proposed to improve the image quality for showing subtle structures of the digital x-ray images. The advantage of the scheme is demonstrated by the experiments on 200 x-ray images, in which different parts of human body structures are captured.
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收藏
页码:973 / 976
页数:4
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