import cv2
import numpy as np
 
path = 'test.jpg'
root = 'output\\'
# 图像resize
dsize = 36
img = cv2.imread(path)
data = np.array(img)
height = data.shape[0]
width = data.shape[1]
# 设置最小的文字像素高度
min_val = 10
 
start_i = -1
end_i = -1
# 存放每行的起止坐标
rowinfo = []
 
# 行分割
for i in range(height):
 
 # 行中有字相关信息
 if (not data[i].all()):
 end_i = i
 if(start_i < 0):
 start_i = i
 pass
 # 行中无字相关信息
 elif (data[i].all() and start_i >= 0):
 if(end_i - start_i >= min_val):
 rowinfo.append((start_i, end_i))
 pass
 start_i, end_i = -1, -1
print(rowinfo)
 
# 列分割
start_j = -1
end_j = -1
# 最小文字像素宽度
min_val_word = 5
# 分割后保存编号
number = 0
for start, end in rowinfo:
 for j in range(width):
 # 列中有字相关信息
 if(not data[start: end, j].all()):
 end_j = j
 if(start_j < 0):
  start_j = j
  pass
 # 列中无字信息
 elif(data[start: end, j].all() and start_j >= 0):
 if(end_j - start_j >= min_val_word):
 img = data[start:end, start_j: end_j]
 im2save = cv2.resize(img, (dsize, dsize)) #归一化处理
 cv2.imwrite(root + '%d.jpg' % number, im2save)
 number += 1
 pass
 start_j, end_j = -1, -1