Python 인증 코드 인식 튜토리얼: 프로젝션 방법과 연결된 도메인 방법을 사용하여 이미지 분할

from PIL import Image
p = Image.open("1.png")
# 注意位置顺序为左、上、右、下
cuts = [(20,20,40,70),(60,20,90,70),(100,10,130,60),(140,20,170,50)]
for i,n in enumerate(cuts,1):
 temp = p.crop(n) # 调用crop函数进行切割
 temp.save("cut%s.png" % i)

def vertical(img):
 """传入二值化后的图片进行垂直投影"""
 pixdata = img.load()
 w,h = img.size
 ver_list = []
 # 开始投影
 for x in range(w):
 black = 0
 for y in range(h):
  if pixdata[x,y] == 0:
  black += 1
 ver_list.append(black)
 # 判断边界
 l,r = 0,0
 flag = False
 cuts = []
 for i,count in enumerate(ver_list):
 # 阈值这里为0
 if flag is False and count > 0:
  l = i
  flag = True
 if flag and count == 0:
  r = i-1
  flag = False
  cuts.append((l,r))
 return cuts

p = Image.open('1.png')
b_img = binarizing(p,200)
v = vertical(b_img)

[(21, 37), (62, 89), (100, 122), (146, 164)]

[(5, 27), (33, 53), (59, 108)]

[(5, 27), (33, 53), (60, 79), (83, 108)]

import queue

def cfs(img):
 """传入二值化后的图片进行连通域分割"""
 pixdata = img.load()
 w,h = img.size
 visited = set()
 q = queue.Queue()
 offset = [(-1,-1),(0,-1),(1,-1),(-1,0),(1,0),(-1,1),(0,1),(1,1)]
 cuts = []
 for x in range(w):
  for y in range(h):
   x_axis = []
   #y_axis = []
   if pixdata[x,y] == 0 and (x,y) not in visited:
    q.put((x,y))
    visited.add((x,y))
   while not q.empty():
    x_p,y_p = q.get()
    for x_offset,y_offset in offset:
     x_c,y_c = x_p+x_offset,y_p+y_offset
     if (x_c,y_c) in visited:
      continue
     visited.add((x_c,y_c))
     try:
      if pixdata[x_c,y_c] == 0:
       q.put((x_c,y_c))
       x_axis.append(x_c)
       #y_axis.append(y_c)
     except:
      pass
   if x_axis:
    min_x,max_x = min(x_axis),max(x_axis)
    if max_x - min_x > 3:
     # 宽度小于3的认为是噪点，根据需要修改
     cuts.append((min_x,max_x))
 return cuts