import cv2
import numpy
img = cv2.imread('D:/0.jpg', cv2.COLOR_BGR2GRAY)
height, width = img.shape[:2]
#resized = cv2.resize(img, (3*width,3*height), interpolation=cv2.INTER_CUBIC)
#二值化
(_, thresh) = cv2.threshold(img, 150, 255, cv2.THRESH_BINARY) 
#cv2.imshow('thresh', thresh)
#擴大黑色面積，使效果更明顯
kernel = cv2.getStructuringElement(cv2.MORPH_RECT, (10, 10))#形態(tài)學處理，定義矩形結構
closed = cv2.erode(thresh, None, iterations = 5)
cv2.imshow('erode',closed)
height, width = closed.shape[:2]
v = [0]*width
z = [0]*height
a = 0
#垂直投影
#統計并存儲每一列的黑點數
for x in range(0, width):    
 for y in range(0, height):
  if closed[y,x][0] == 0:
   a = a + 1
  else :
   continue
 v[x] = a
 a = 0
l = len(v)
#print l
#print width
#創(chuàng)建空白圖片，繪制垂直投影圖
emptyImage = numpy.zeros((height, width, 3), numpy.uint8) 
for x in range(0,width):
 for y in range(0, v[x]):
  b = (255,255,255)
  emptyImage[y,x] = b
cv2.imshow('chuizhi', emptyImage)
#水平投影
#統計每一行的黑點數
a = 0
emptyImage1 = numpy.zeros((height, width, 3), numpy.uint8) 
for y in range(0, height):
 for x in range(0, width):
  if closed[y,x][0] == 0:
   a = a + 1
  else :
   continue
 z[y] = a
 a = 0
l = len(z)
#print l
#print height
#繪制水平投影圖
for y in range(0,height):
 for x in range(0, z[y]):
  b = (255,255,255)
  emptyImage1[y,x] = b
cv2.imshow('shuipin', emptyImage1)
cv2.waitKey(0)