文献类型：期刊文献

英文题名：A X-ray image sharpening algorithm using nonlinear module

作者：Gui, Z. G.[1];Zhang, P. C.[1];Zhang, J. H.[2];Zeng, Y. J.[3]

机构：[1]N Univ China, Natl Key Lab Elect Measurement Technol, Taiyuan 030051, Peoples R China;[2]E China Univ Sci & Technol, Sch Informat Sci & Engn, Dept Automat, Shanghai 200237, Peoples R China;[3]Beijing Univ Technol, Beijing 100022, Peoples R China

年份：2012

卷号：60

期号：1

起止页码：3

外文期刊名：IMAGING SCIENCE JOURNAL

收录：;EI(收录号：20115214646780);WOS:【SCI-EXPANDED(收录号:WOS:000298664300002)】；

基金：The work reported here was funded by the Natural Science Foundation of Shanxi Province, China (no. 2009011020-2) and National Nature Science Foundation of China (no. 61071192).

语种：英文

外文关键词：image sharpening; unsharp masking; X-ray image; nonlinear module

摘要：The unwanted information such as noises and interferences usually affects the quality of X-ray image. Therefore, information extraction must be performed. The unsharp masking method is a well-known approach for image enhancement but is very sensitive to noises. Low-pass filters are usually employed to suppress the noise, but often lead to the blurred edges. To overcome these problems, a sharpening algorithm for X-ray images based on nonlinear module is proposed. First, we suppress noise of X-ray images by image averaging; then a lookup table, which is used to sharpen X-ray images, is set by the grey difference between the centre pixel and each neighbouring pixel. The new method can sharpen images and simultaneously can have good performance in noise reduction. The experimental results have demonstrated the effectiveness of the proposed method.