激光电子散斑干涉图像的去噪及仿真分析  

Denoising and Simulation Analysis of Laser Electronic Speckle Interferometry Image

作　　者：唐思敏[1] 

机构地区：[1]西安医学院,西安710021

出　　处：《激光杂志》2016年第2期73-76,共4页Laser Journal

基　　金：陕教高教改项目(13BY84)

摘　　要：噪声对激光电子散斑干涉图像后续的特征提取、模式识别产生不利影响,为了有效去除激光电子散斑干涉图像中混入的噪声,提高图像的视觉效果,提出了一种基于二维云模型的激光电子散斑干涉图像算法。首先分析传统去噪声算法消除噪时丢失重要的图像特征信息的原因,然后受到云模型的不确性启发,构建一种云模型滤波器的噪声检测器实现噪声去除,最后实验结果表明,本文算法在去除激光电子散斑干涉图像中的噪声时,可以有效保持重要图像特征信息,提高了激光电子散斑图像的信噪比,其去噪性能超越了当前经典的激光电子散斑图像去噪算法。Effect of noise on the subsequent feature extraction and pattern recognition of laser electron speckle interferometry image,In order to remove the noise and improve the visual effect of the laser electronic speckle interferometry image,a novel laser electronic speckle interferometry denosing algorithm based on two dimensional cloud model is proposed in this paper.First of all,we analyze the reasons for the loss of important image feature information when the traditional algorhtim is used to denoise,and then a noise detector is build by using a two dimensional cloud model filter to achieve noise remove,finally,the experimental results show that the proposed algorithm can effectively maintain the important image feature information when removing the noise in the laser electronic speckle interference image,the image signal to noise ratio of the laser speckle image is improved,and denoising performance is better than current classical laser electronic speckle image denoising algorithms.

关 键 词：激光电子 散斑干扰图像 去噪处理 二维云模型 

分 类 号：TN39[电子电信—物理电子学]