#include <opencv2\core\core.hpp>
#include <opencv2\highgui\highgui.hpp>
#include <opencv2\imgproc\imgproc.hpp>
#include <iostream>
 
using namespace cv;
using namespace std;
 
Mat inputImage;
Mat inputImage_mosaic;
Mat inputImage_clone;
 
//马赛克的大小
int neightbourhood = 20;
 
//记录鼠标的状态，0为鼠标左键未按下或弹起，1为鼠标左键按下
int mouseStatus = 0;
 
void onMouse(int events, int x, int y, int flag, void* ustg);
 
//创建马赛克图片
void createMosaicImage(Mat inputMat, Mat& outputMat, int size);
 
//设置马赛克区域
void setMosaic(Mat& inputMat, Rect rect);
 
int mainFun(void) {
 inputImage = imread("D:\\test\\12.jpg");
 inputImage_clone = inputImage.clone();
 createMosaicImage(inputImage, inputImage_mosaic, neightbourhood);
 
 namedWindow("showImage", WINDOW_AUTOSIZE);
 setMouseCallback("showImage", onMouse);
 
 waitKey();
 return 0;
}
 
void createMosaicImage(Mat inputMat, Mat& outputMat, int size) {
 RNG rng;
 int height = inputMat.rows;
 int width = inputMat.cols;
 Mat padding;
 Mat tempMat;
 
 //为了方便后面的计算，将输入的图像大小扩充到宽高都是size的倍数
 copyMakeBorder(inputMat, padding, 0, size - inputMat.rows % size, 0, size - inputMat.cols % size, BORDER_REPLICATE);
 tempMat = padding.clone();
 
 for (int row = 0; row < padding.rows; row += size) {
 for (int col = 0; col < padding.cols; col += size) {
  int rand_x = rng.uniform(0, size);
  int rand_y = rng.uniform(0, size);
  Rect rect = Rect(col, row, size, size);
  Mat roi = tempMat(rect);
  Scalar color = Scalar(padding.at<Vec3b>(row + rand_y, col + rand_x)[0], \
  padding.at<Vec3b>(row + rand_y, col + rand_x)[1], \
  padding.at<Vec3b>(row + rand_y, col + rand_x)[2]);
  roi.setTo(color);
 }
 }
 outputMat = tempMat(Rect(0, 0, width, height)).clone();
}
 
void setMosaic(Mat& inputMat, Rect rect) {
 Mat roi = inputMat(rect);
 Mat tempRoi = inputImage_mosaic(rect);
 tempRoi.copyTo(roi);
}
 
void onMouse(int events, int x, int y, int flag, void* ustg) {
 
 //当鼠标移除图片区域的时候，不做操作
 if (x < 0 || x > inputImage.cols || y < 0 || y > inputImage.rows) {
 return;
 }
 
 //马赛克块的位置信息
 int x_left, x_right, y_top, y_bottom;
 x - neightbourhood <= 0 ? x_left = 0 : x_left = x - neightbourhood;
 x + neightbourhood > inputImage.cols ? x_right = inputImage.cols : x_right = x + neightbourhood;
 y - neightbourhood <= 0 ? y_top = 0 : y_top = y - neightbourhood;
 y + neightbourhood > inputImage.rows ? y_bottom = inputImage.rows : y_bottom = y + neightbourhood;
 
 if (events == CV_EVENT_LBUTTONDOWN) {
 mouseStatus = 1;
 setMosaic(inputImage_clone, Rect(x_left, y_top, x_right - x_left, y_bottom - y_top));
 }
 else if (events == CV_EVENT_MOUSEMOVE) {
 if (mouseStatus == 1) {
  setMosaic(inputImage_clone, Rect(x_left, y_top, x_right - x_left, y_bottom - y_top));
 }
 else {
  //nothing
 }
 }
 else if (events == CV_EVENT_LBUTTONUP) {
 mouseStatus = 0;
 }
 else {
 //cout << "nothing" << endl;
 }
 imshow("showImage", inputImage_clone);
}
 
 
//-----开始------
void COpenCVLearningDlg::OnBnClickedStartButton()
{
 mainFun();
}

#include <core\core.hpp>
#include <highgui\highgui.hpp>
 
using namespace cv;
 
int mainFun()
{
 Mat imageSource = imread("D:\\test\\12.jpg");
 Mat imageResult = imageSource.clone();
 RNG rng;
 int randomNum;
 int Number = 5;
 
 for (int i = 0; i < imageSource.rows - Number; i++)
 for (int j = 0; j < imageSource.cols - Number; j++)
 {
  randomNum = rng.uniform(0, Number);
  imageResult.at<Vec3b>(i, j)[0] = imageSource.at<Vec3b>(i + randomNum, j + randomNum)[0];
  imageResult.at<Vec3b>(i, j)[1] = imageSource.at<Vec3b>(i + randomNum, j + randomNum)[1];
  imageResult.at<Vec3b>(i, j)[2] = imageSource.at<Vec3b>(i + randomNum, j + randomNum)[2];
 }
 imshow("毛玻璃效果", imageResult);
 waitKey();
 return 0;
}
 
 
//-----开始------
void COpenCVLearningDlg::OnBnClickedStartButton()
{
 mainFun();
}