面向小直径薄壁管表面质量检测的散斑干涉图像滤波方法研究  

作　　者：陈杰[1] 阳雷 罗建东[1] 

机构地区：[1]中国核动力研究设计院,成都610213

出　　处：《科技视界》2020年第15期50-54,共5页Science & Technology Vision

摘　　要：利用散斑干涉测量技术对材料表面质量进行检测时,干涉图像存在大量高频散斑噪声,严重影响了表面质量检测的准确度及测量精度。本文以小直径薄壁管表面为检测对象,提出了一种自适应窗口傅里叶变换滤波方法对散斑噪声进行滤波,首先利用小波变换获得最佳的窗口大小,然后利用窗口傅里叶脊对应的振幅动态修正频谱阈值,最后利用傅里叶脊对应的局部频率设置相应的通频带完成傅里叶逆变换获得滤波后的图像,并与等值线窗口法和二阶方向偏微分方程法进行对比分析。研究结果表明,自适应窗口傅里叶变换滤波法滤波效果最好,表面质量检测准确度及测量精度高。The interference image contains a lot of high frequency speckle noise when using the digital speckle interferometry to measure the material surface quality,which seriously affects the accuracy of surface quality detection and measurement accuracy.In this paper,an adaptive window Fourier transform filtering method is proposed to filter the speckle noise on the surface of small-diameter thin-walled tube.Firstly,the optimal window size is obtained by wavelet transform,then the amplitude corresponding to the window Fourier ridge is used to dynamically modify the spectrum threshold,and finally the corresponding pass band is set by the local frequency corresponding to the Fourier ridge to complete the Fourier transform The filtered image is obtained by inverse transformation and compared with contoured window method and second-order directional partial differential equation method.The results show that the adaptive window Fourier transform filtering method has good filtering effect,high accuracy of surface quality detection and measurement.

关 键 词：小直径管 薄壁管 散斑干涉 图像滤波 自适应窗口 

分 类 号：TG178[金属学及工艺—金属表面处理]