Homomorphic Filtering for Radiographic Image Contrast Enhancement and Artifacts Elimination

被引：3
|
作者：
Belykh, Igor [1 ]
机构：
[1] St Petersburg State Polytech Univ, St Petersburg, Russia
来源：
PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON FRONTIERS OF INTELLIGENT COMPUTING: THEORY AND APPLICATIONS (FICTA) 2014, VOL 2 | 2015年 / 328卷
关键词：
computed radiography; image processing; contrast enhancement; artifacts; homomorphic filtering; COMPUTED RADIOGRAPHY;
D O I：
10.1007/978-3-319-12012-6_46
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The contrast of radiographic images is provided at physical level by anti-scatter grids and is usually further improved at image processing stage. The known contrast improvement methods are mainly based on image non-linear manipulations that may cause residual artifacts in processed images. In this paper an artifact-free approach is proposed for radiographic image filtering which is still an actual problem. The proposed algorithm is based on homomorphic equalizer design and application for image contrast enhancement, sharpening and artifacts elimination. Experimental results are discussed and concluded with description of advantages over existing approaches.
引用
收藏
页码：423 / 430
页数：8
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