import cv2 
import numpy as np 
from matplotlib import pyplot as plt 
from PIL import Image
 
img=cv2.imread('0002.jpg') #讀取圖片，裝換為可運算的數(shù)組
GrayImage=cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)  #將BGR圖轉(zhuǎn)為灰度圖
ret,thresh1=cv2.threshold(GrayImage,130,255,cv2.THRESH_BINARY) #將圖片進行二值化（130,255）之間的點均變?yōu)?55（背景）
# print(thresh1[0,0])#250 輸出[0,0]這個點的像素值 				#返回值ret為閾值
# print(ret)#130
(h,w)=thresh1.shape #返回高和寬
# print(h,w)#s輸出高和寬
a = [0 for z in range(0, w)] 
print(a) #a = [0,0,0,0,0,0,0,0,0,0,...,0,0]初始化一個長度為w的數(shù)組，用于記錄每一列的黑點個數(shù) 
 
#記錄每一列的波峰
for j in range(0,w): #遍歷一列 
  for i in range(0,h): #遍歷一行
    if thresh1[i,j]==0: #如果改點為黑點
      a[j]+=1 		#該列的計數(shù)器加一計數(shù)
      thresh1[i,j]=255 #記錄完后將其變?yōu)榘咨?
  # print (j)      
 
#      
for j in range(0,w): #遍歷每一列
  for i in range((h-a[j]),h): #從該列應該變黑的最頂部的點開始向最底部涂黑
    thresh1[i,j]=0  #涂黑
 
#此時的thresh1便是一張圖像向垂直方向上投影的直方圖
#如果要分割字符的話，其實并不需要把這張圖給畫出來，只需要的到a=[]即可得到想要的信息
 
 
# img2 =Image.open('0002.jpg')
# img2.convert('L')
# img_1 = np.array(img2)
plt.imshow(thresh1,cmap=plt.gray())
plt.show()
cv2.imshow('img',thresh1) 
cv2.waitKey(0) 
cv2.destroyAllWindows() 

import cv2 
import numpy as np 
from matplotlib import pyplot as plt 
from PIL import Image
 
img=cv2.imread('C:/Users/Jet Zhang/Desktop/50/50/cut.png') 
GrayImage=cv2.cvtColor(img,cv2.COLOR_BGR2GRAY) 
ret,thresh1=cv2.threshold(GrayImage,130,255,cv2.THRESH_BINARY)
 
(h,w)=thresh1.shape #返回高和寬
 
a = [0 for z in range(0, h)] 
print(a) 
 
for j in range(0,h): 
  for i in range(0,w): 
    if thresh1[j,i]==0: 
      a[j]+=1 
      thresh1[j,i]=255
     
for j in range(0,h): 
  for i in range(0,a[j]):  
    thresh1[j,i]=0  
 
plt.imshow(thresh1,cmap=plt.gray())
plt.show()