摘要
为减少噪音对散斑相位图的影响,提出了一种无阈值的窗口傅里叶变换滤波方法.通过对窗口内条纹频率幅值扫描,寻找条纹频率幅值的最大值作为滤波标准,得到最佳滤波图像,缩短了计算时间,解决了窗口傅里叶变换滤波中需要设定阈值的问题.在无阈值窗口傅里叶变换滤波算法基础上,对散斑条纹图像进行了滤波,证明了该算法的可行性和良好的滤波效果,可用于各类条纹图像的低通滤波.
In order to reduce the speckle noise in phase distribution of deformation,a non-threshold windowed Fourier filter algorithm was proposed.The maximal amplitude of stripe frequency is set as the filtering criterion by scanning the amplitude of stripe frequency in the window,which the optimum frequency image is obtained and the threshold window is not set in the window Fourier filter algorithm.And the proposed algorithm is used on the fringe patterns.Experiment results show that the proposed algorithm have a better performance in reducing the speckle noise and a high precision in phase calculation.The algorithm proposed can be used to filter other images as a low-pass filter.
出处
《光子学报》
EI
CAS
CSCD
北大核心
2014年第9期166-169,共4页
Acta Photonica Sinica
基金
山东省科技攻关项目(No.2012GGB01081)资助
关键词
图像处理
窗口傅里叶变换
滤波
无阈值
Image processing
Windowed fourier transform
Filtering
Non-threshold
