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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

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

image enhancementRetinex algorithmlow light image

章庆勇、马花萍、马浩然

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新疆第二医学院,新疆 834000

图像增强 Retinex算法 图像低照度

2024

集成电路应用
上海贝岭股份有限公司

集成电路应用

影响因子:0.132
ISSN:1674-2583
年,卷(期):2024.41(7)