利用深度学习自动检测和分类糖尿病视网膜病变[闭合]

我是新的OpenCV和我卡住分割部分ie。去除视网膜的光盘。

import cv2
import numpy as np
from matplotlib impt pyplot as plt

img = cv2.imread('abc.jpg',0)

# global thresholding
ret1,th1 = cv2.threshold(img,127,255,cv2.THRESH_BINARY)

# Otsu's thresholding
ret2,th2 = cv2.threshold(img,0,255,cv2.THRESH_BINARY+cv2.THRESH_OTSU)

# Otsu's thresholding after Gaussian filtering
blur = cv2.GaussianBlur(img,(5,5),0)
ret3,th3 = cv2.threshold(blur,0,255,cv2.THRESH_BINARY+cv2.THRESH_OTSU)

# plot all the images and their histograms
cv2.imwrite('output_new2.jpg', th1)

目前，我指的是这个分割部分，去掉视网膜的光盘图像，设置光盘的颜色为背景色 问题来源StackOverflow 地址：/questions/59379529/automatic-detection-and-classi%ef%ac%81cation-of-retinal-lesions-in-diabetic-retinopathy