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// ps-diffusion-filter.cpp : ps扩散特效
// @mango
// https://mangoroom.cn
#include <iostream>
#include<random>
#include<opencv2/opencv.hpp>
int main()
{
cv::Mat img = cv::imread("fruit.jpg");
if (img.empty())
{
std::cout << "failed to read the image!" << std::endl;
return -1;
}
// random engine | 随机数引擎
std::default_random_engine generator;
std::uniform_int_distribution<int> dis(1, 8);
// result
cv::Mat result(img.size(), CV_8UC3);
for (size_t i = 1; i < img.rows - 1; i++)
{
for (size_t j = 1; j < img.cols - 1; j++)
{
// generator random | 产生随机数
int r = dis(generator);
// 1 2 3
// 4 p 5
// 6 7 8
switch (r)
{
case 1:
for (size_t k = 0; k < 3; k++)
{
result.at<cv::Vec3b>(i, j)[k] = img.at<cv::Vec3b>(i - 1, j - 1)[k];
}
break;
case 2:
for (size_t k = 0; k < 3; k++)
{
result.at<cv::Vec3b>(i, j)[k] = img.at<cv::Vec3b>(i - 1, j)[k];
}
break;
case 3:
for (size_t k = 0; k < 3; k++)
{
result.at<cv::Vec3b>(i, j)[k] = img.at<cv::Vec3b>(i - 1, j + 1)[k];
}
break;
case 4:
for (size_t k = 0; k < 3; k++)
{
result.at<cv::Vec3b>(i, j)[k] = img.at<cv::Vec3b>(i, j - 1)[k];
}
break;
case 5:
for (size_t k = 0; k < 3; k++)
{
result.at<cv::Vec3b>(i, j)[k] = img.at<cv::Vec3b>(i, j + 1)[k];
}
break;
case 6:
for (size_t k = 0; k < 3; k++)
{
result.at<cv::Vec3b>(i, j)[k] = img.at<cv::Vec3b>(i + 1, j - 1)[k];
}
break;
case 7:
for (size_t k = 0; k < 3; k++)
{
result.at<cv::Vec3b>(i, j)[k] = img.at<cv::Vec3b>(i + 1, j)[k];
}
break;
case 8:
for (size_t k = 0; k < 3; k++)
{
result.at<cv::Vec3b>(i, j)[k] = img.at<cv::Vec3b>(i + 1, j + 1)[k];
}
break;
default:
assert(false);
break;
}
}
}
cv::imshow("PS扩散特效", result);
cv::waitKey(0);
return 0;
}
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