# coding=gbk

import cv2
import numpy as np

img = cv2.imread('1.jpg')
cv2.imshow('card', img)
img = cv2.imread('1.jpg', 0)
cv2.imshow('gary', img)
height, width = img.shape

# 对图像进行二值化处理
thres, binary = cv2.threshold(img, 0, 255, cv2.THRESH_OTSU + cv2.THRESH_BINARY_INV)
cv2.imshow('threshold', binary)
# print(img.shape)
paint = np.zeros(img.shape, dtype=np.uint8)
# 每一列黑色像素个数
pointSum = np.zeros(width, dtype=np.uint8)
for x in range(width):
    for y in range(height):
        if binary[y][x]:
            pointSum[x] = pointSum[x] + 1

for x in range(width):
    for y in range(height)[::-1]:
        if (pointSum[x]):
            paint[y][x] = 255
            pointSum[x] = pointSum[x] - 1

cv2.imshow('paint', paint)
cv2.waitKey(0)