每次取blk_height*blk_width范围内的RGB值做平均，要注意边界条件。源码如下：
/**
保持图片分辨率，将图像格子化
*/
void image_blocklized()
{
Mat image = imread("/Users/ZZZ/Documents/mine/kunshan.jpeg");
imshow("ori", image);
cout << image.rows << ":" << image.cols << endl;
int blk_width = 50, blk_height = 50;
int total_B = 0, total_G = 0, total_R = 0;
for(int i = 0; i < image.cols; i += blk_width)
{
for(int j = 0; j < image.rows; j += blk_height)
{
total_B = 0;
total_G = 0;
total_R = 0;
for(int m = 0; m < blk_width; m++)
{
// 边界条件
if(i + m >= image.cols)
{
continue;
}
for(int n = 0; n < blk_height; n++)
{
// 累计和
// 边界条件
if(j + n >= image.rows)
{
continue;
}
total_B += image.at<Vec3b>(j + n, i + m)[0];
total_G += image.at<Vec3b>(j + n, i + m)[1];
total_R += image.at<Vec3b>(j + n, i + m)[2];
}
}
// 均值
int area = blk_height * blk_width;
total_B = total_B / area;
total_G = total_G / area;
total_R = total_R / area;
for(int m = 0; m < blk_width; m++)
{
// 边界条件
if(i + m >= image.cols)
{
continue;
}
for(int n = 0; n < blk_height; n++)
{
// 边界条件
if(j + n >= image.rows)
{
continue;
}
image.at<Vec3b>(j + n, i + m)[0] = total_B;
image.at<Vec3b>(j + n, i + m)[1] = total_G;
image.at<Vec3b>(j + n, i + m)[2] = total_R;
}
}
}
}
imshow("image", image);
}
处理前与处理后的对比如下图：
