Study of Wavelet Denoising in Images of Vacuum Switching Arc

摘要：

Using wavelet to filtering noises on image is an important application of wavelet analysis in image processing. In this paper a de-noising method based on wavelet transform is introduced and applied in image of the vacuum switch arc which is the research object that is polluted by white noise. The result shows that the signal to noise ratio is improved,the quality and resolution of the vacuum arc image is enhanced by the application of wavelet de-noising when proper wavelet basis function and threshold is selected.

关键词： vacuum switching arc wavelet transform noise repression threshold filtering MATLAB

作者: Dong Huajun Wang Hongyan Yuan Duanlei Zou Jiyan

作者单位: School of Mechanical Engineering,Dalian Jiaotong University,Dalian,CHN CEET Pinggao Group Company Li CEET Pinggao Group Company Limited,Henan,CHN School of Electronics Engineering,Dalian University of Technology,Dalian,CHN

会议类型: 国际会议

会议名称: 2011 International Conference on Opto-Electronics Engineering and Information Science(2011光电电子工程与信息科学国际会议 ICOEIS 2011)

会议地点: 西安

会议语种:英文

页码: 2248-2250

在线出版日期: 2011-12-23（万方平台首次上网日期，不代表论文的发表时间）