基于自适应直方图均衡化的低照度眼底彩色图像增强方法分析  

Analysis of Low Light Fundus Color Image Enhancement Method Based on Adaptive Histogram Equalization

作　　者：章庆勇 马花萍 马浩然 ZHANG Qingyong;MA Huaping;MA Haoran(Xinjiang Second Medical College,Xinjiang 834000,China)

机构地区：[1]新疆第二医学院,新疆834000

出　　处：《集成电路应用》2024年第7期176-177,共2页Application of IC

基　　金：2023年新疆维吾尔自治区大学生创新创业训练计划项目(S202313560007)。

摘　　要：阐述针对视网膜图像普遍存在的低照度现象,结合眼底血管复杂、图像增强时局部细节容易丢失等问题,基于Matlab平台,提取对比度更高的绿色通道,利用自适应直方图均衡化算法对彩色眼底图像进行增强,更完整的保留血管分支与末梢部分的细节,解决原有图像低照度的问题。This paper describes the common low light phenomenon in retinal images,combined with the complexity of retinal blood vessels and the easy loss of local details during image enhancement.Based on the Matlab platform,a higher contrast green channel is extracted,and an adaptive histogram equalization algorithm is used to enhance the color fundus image,preserving the details of blood vessel branches and distal parts more completely and solving the problem of low light in the original image.

关 键 词：图像增强 RETINEX算法 图像低照度 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]