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opencv_tutorials/python/code_028/opencv_028.py at master · HZHCoder1990/opencv_tutorials · GitHub

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import cv2 as cv

import numpy as np

def get_block_sum(ii, x1, y1, x2, y2, index):

tl = ii[y1, x1][index]

tr = ii[y2, x1][index]

bl = ii[y1, x2][index]

br = ii[y2, x2][index]

s = (br - bl - tr + tl)

return s

def blur_demo(image, ii):

h, w, dims = image.shape

result = np.zeros(image.shape, image.dtype)

ksize = 15

radius = ksize // 2

for row in range(0, h + radius, 1):

y2 = h if (row + 1)> h else (row + 1)

y1 = 0 if (row - ksize) < 0 else (row - ksize)

for col in range(0, w + radius, 1):

x2 = w if (col + 1)>w else (col + 1)

x1 = 0 if (col - ksize) < 0 else (col - ksize)

cx = 0 if (col - radius) < 0 else (col - radius)

cy = 0 if (row - radius) < 0 else (row - radius)

num = (x2 - x1)*(y2 - y1)

for i in range(0, 3, 1):

s = get_block_sum(ii, x1, y1, x2, y2, i)

result[cy, cx][i] = s // num

cv.imshow("integral fast blur", result)

# cv.imwrite("./result.png", result)

src = cv.imread("./test.png")

cv.namedWindow("input", cv.WINDOW_AUTOSIZE)

cv.imshow("input", src)

sum_table = cv.integral(src, sdepth=cv.CV_32S)

blur_demo(src, sum_table)

cv.waitKey(0)

cv.destroyAllWindows()

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