OpenCV之图像卷积操作

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