摘要
视网膜血管图像存在像素对比度低等特点,干扰正常的视网膜图像分割.针对视网膜血管的图像特性,提出了一种改进的基于曲波变换的视网膜血管图像增强算法.首先选取视网膜图像的绿色通道分量进行预处理,然后通过对变换系数的自适应增强完成图像的增强处理,并结合改进的形态学变换,实现图像细节的增强和背景噪声的抑制,使得图像对比度得到增强,细节信息更加明显.通过与其他增强算法的比较表明,该算法在增强对比度、降低噪声干扰等方面优于其他算法.
In retinal vascular images, characteristic of image, such as low contrast, will interferewith the normal image segmentation. In allusion to the image characteristics of retinal bloodvessels , an enhancement algorithms of retinal blood vessels was proposed based on improvedcurvelet conversion. Firstly, a preprocessing was performed with the green channel of retinalimage, combined with the adaptive enhancement of transform coefficient to achieve the process.The improved morphological transformation was also used to suppress background and enhance thevessel image information with more brightness. With the comparison to other methods, theexperiment result showed the validity and the values of the method in improving contrast andreducing noise.
出处
《东北大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2016年第7期922-926,共5页
Journal of Northeastern University(Natural Science)
基金
中央高校基本科研业务费专项资金资助项目(N150403002)
辽宁省自然科学基金资助项目(20102057)
关键词
视网膜血管
图像增强
改进的曲波变换
形态学变换
预处理
retinal vascular
image enhancement
improved curvelet conversion
morphologicaltransformation
preprocessing
