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.