均值滤波

void meanBlur(Mat img, Mat dst, int ksize) {
    //ksize必须为奇数
    if (ksize % 2 == 0 && (ksize - 1) / 2 - 1 < img.cols && (ksize - 1) / 2 - 1 < img.rows) {
        return;
    }

    //边到中心点的距离
    int offset = (ksize - 1) / 2;
    int* window = new int[ksize * ksize];
    for (int i = offset; i < img.cols - offset; i++) {
        for (int k = offset; k < img.rows - offset; k++) {
            //获取周围的元素
            int count = 0;
            for (int n = i - offset; n < i + offset + 1; n++) {
                for (int m = k - offset; m < k + offset + 1; m++) {
                    window[count] = int(img.at<uchar>(m, n));
                    count++;
                }
            }
            //求和
            int sum = 0;
            for (int n = 0; n < count; n++) {
                sum += window[n];
            }

            dst.at<uchar>(k, i) = sum / (ksize*ksize);
        }
    }

    delete[] window;
}