import numpy as np
import cv2
import tensorflow as tf
from PIL import Image
import os
import scipy.signal as signal

input_images = np.zeros((300, 300))
filename = "D:\字母图库\F\P80627-112853.jpg"
print(filename)
img = Image.open(filename).resize((300, 300)).convert('L')
width = img.size[0]
height = img.size[1]

for h in range(0, height):
  for w in range(0, width):
    if img.getpixel((h, w)) < 128:
      input_images[w, h] = 0
    else:
      input_images[w, h] = 1
cv2.imshow("test1111", input_images)

data = signal.medfilt2d(np.array(img), kernel_size=3) # 二维中值滤波
for h in range(0, height):
  for w in range(0, width):
    if data[h][w] < 128:
      input_images[w, h] = 0
    else:
      input_images[w, h] = 1
cv2.imshow("test2222", input_images)

data = signal.medfilt2d(np.array(img), kernel_size=5) # 二维中值滤波
for h in range(0, height):
  for w in range(0, width):
    if data[h][w] < 128:
      input_images[w, h] = 0
    else:
      input_images[w, h] = 1
cv2.imshow("test3333", input_images)
cv2.waitKey(0)