摘要
设计了基于维纳滤波和对比度增强的OCT图像处理方法。对OCT图像的噪声进行了分析，通过多尺度维纳滤波器对图像进行滤波处理来去除噪声干扰，然后根据区域特性采用对比度增强方法提高图像对比度。实验结果表明：经该方法处理后图像的背景方差（BV）较原始图像降低了2～6倍，细节方差和背景方差之比（DV／BV）提高了2～5倍。该方法不仅有效地去除了OCT图像的噪声，而且视觉效果良好，是一种有效的图像后处理方法。
In order to denoise OCT （Optical Coherence Tomography） image and improve its visual quality, a image processing method based on multi-scale Wiener filtering and contrast enhancement is proposed. According to the analysis of the noise for OCT image, the multi-scale Winener filtering method is applied for denoising OCT image. Then, the contrast enhancement algorithm based on the characters of the different areas is used to enhance the signal to noise ratio （SNR） of OCT images. The experimental results demonstrate that the algorithm improves the visual quality of OCT image, the value Of background variance （BV） of the processed image decreases by 2-6 times, and the value of DV/BV increases by 2-5 times comparing with that of original image. It comes to the conclusion that the denoising method for OCT image has a good visual effect, and is an effective image processing method.
出处
《光学精密工程》
EI
CAS
CSCD
北大核心
2008年第4期740-745,共6页
Optics and Precision Engineering
基金
教育部“春晖计划”科研合作项目(No.Z2006-1-11002)
辽宁省教育厅基金资助项目(No.05L311)
关键词
光学相干层析成像
多级维纳滤波
图像除噪
对比度增强
Optical Coherence Tomography（OCT）
multi-scale Wiener filtering
image denoising
contrast enhancement
