摘要
OCT图像中的散斑噪声既是信息的载体,也是严重影响医学判断的噪声。本文以OCT视网膜图像为研究对象,经图像预处理之后,采用中值滤波、各向异性扩散法、维纳滤波、小波阈值法分别对OCT图像进行降噪,并且通过五个降噪指标:等效视数、散斑指数、峰值信噪比、边缘保持系数、均方误差,客观对比了四种降噪方法的优缺点。结果表明,各向异性扩散法和维纳滤波效果相对比较好,但各有不足。
Speckle noise in OCT images is both a carrier of information and a noise that seriously affects medical judgment.This paper takes OCT retinal image as the research object.After image preprocessing,Median filtering,Anisotropic diffusion method,Wiener filtering and Wavelet threshold method are used to denoise OCT images respectively.Five noise reduction indicators including the equivalent numbers of looks,the speckle index,the peak signal-to-noise ratio,the edge-preserving factor,and the mean-square error were used to objectively compare the advantages and disadvantages of the four noise reduction methods.The results show that the Anisotropic diffusion method and Wiener filter are relatively good,but they have their own shortcomings.
作者
杨健
黄立一
潘玲佼
朱幼莲
YANG Jian;HUANG Li-yi;PAN Ling-jiao;ZHU You-lian(School of Electrical and Information Engineering,Jiangsu University of Technology,Changzhou 213001,China)
出处
《江苏理工学院学报》
2018年第2期31-35,共5页
Journal of Jiangsu University of Technology
基金
2017年度江苏理工学院大学生创新训练计划项目(编号:KYX17003)
江苏理工学院校教改项目(11610211712)
江苏省高校自然科学研究项目(17KJB510015)
关键词
光学相干层析技术
散斑噪声
降噪
optical coherence tomography
speckle noise
noise reduction
