Preprocessing study of retinal image based on component extraction

Extracting the clear retinal image information is a prerequisite for diagnosing the patientpsilas conditions exactly in clinic. In order to extract the clear retinal image with less data as assistant diagnosis, the histogram equalization preprocessing of colored retinal image is researched based on its features. The clarity is observed and analyzed by comparing equalization images of the colored retinal imagepsilas gray image, red component image, green component image and blue component image. Equalization images of the green component image is the most clear one, followed by equalization images of the colored retinal image, red component image and blue component image. The green component image not only holds the basic feature of the original color image with its data compressed down to 1/3, but also is more convenient to acquire.