摘要
电子散斑干涉术条纹图在成像时不可避免地受散斑噪声调制,去除噪声是散斑干涉条纹处理的一项重要任务。利用散斑条纹图的方向性,提出一种基于模糊方向的旋滤波:在当前点的领域内定义4个模糊方向窗口,将传统旋滤波的一维、精确方向窗口的确定,转变为模糊方向窗口的确定;在确定的窗口内进行低通滤波时,采用自适应加权均值滤波代替传统的中值滤波。利用该方法分别处理模拟散斑条纹图和实验所得的真实条纹图,并与传统旋滤波、双边滤波和小波丢弃子带方法比较。实验结果表明,该改进算法在滤除散斑条纹图噪声的同时,有效保护了条纹的细节信息。
Speckle noise is inevitably involved in fringe pattern in electronic speckle pattern interferometry （ESPI）, removing the noise is an important issue in ESPI. By exploiting the directionality of speckle pattern, an improved spin filtering is presented： four fuzzy directional windows in the field of current point are defined, so as to turn the determination of accurate one-dimensional directional window is turned into the determination of fuzzy directional window, and then the adaptive weighted mean filtering is applied instead of traditional median filtering is applied as denoising in the determined direction. The performance of the improved spin filtering is analyzed by using both computer-simulated fringes and experimental fringe. Bilateral filtering, wavelet subband removal method are introduced for making a comparison and validation in the image processing effect. The experimental results show that the proposed method is effective in noise removal and edge Dreservatinn far ESPI images.
出处
《光学学报》
EI
CAS
CSCD
北大核心
2012年第3期64-69,共6页
Acta Optica Sinica
基金
国家973计划(2010CB327806,2010CB327604)
天津市科技支撑重点项目(11ZCKFSF00400)
天津市自然科学基金(09JCYBJC01300)资助课题
关键词
图像处理
电子散斑干涉术
散斑噪声
改进旋滤波
模糊方向窗口
自适应加权均值滤波
image processing
electronic speckle interferometry
speckle noise
improved spin filtering
fuzzydirectional window
adaptive weighted mean filtering
