opencv_021.py

import cv2 as cv
import numpy as np


def custom_blur(src):
    h, w, ch = src.shape
    print("h , w, ch", h, w, ch)
    result = np.copy(src)
    for row in range(1, h-1, 1):
        for col in range(1, w-1, 1):
            v1 = np.int32(src[row-1, col-1])
            v2 = np.int32(src[row-1, col])
            v3 = np.int32(src[row-1, col+1])
            v4 = np.int32(src[row, col-1])
            v5 = np.int32(src[row, col])
            v6 = np.int32(src[row, col+1])
            v7 = np.int32(src[row+1, col-1])
            v8 = np.int32(src[row+1, col])
            v9 = np.int32(src[row+1, col+1])

            b = v1[0] + v2[0] + v3[0] + v4[0] + v5[0] + v6[0] + v7[0] + v8[0] + v9[0];
            g = v1[1] + v2[1] + v3[1] + v4[1] + v5[1] + v6[1] + v7[1] + v8[1] + v9[1];
            r = v1[2] + v2[2] + v3[2] + v4[2] + v5[2] + v6[2] + v7[2] + v8[2] + v9[2];
            result[row, col] = [b//9, g//9, r//9]
    cv.imshow("result", result)


src = cv.imread("./test.png")
cv.namedWindow("input", cv.WINDOW_AUTOSIZE)
cv.imshow("input", src)
dst = cv.blur(src, (15, 15))
cv.imshow("blur", dst)
custom_blur(src)
cv.waitKey(0)
cv.destroyAllWindows()