OpenCV实现马赛克和毛玻璃滤镜效果

#include <core\core.hpp> 
#include <highgui\highgui.hpp> 
 
using namespace cv; 
 
Mat imageSourceCopy; //原始图像 
Mat imageSource; //原始图像拷贝 
int neightbourHood = 9; //马赛克上每个方框的像素大小 
 
RNG rng; 
int randomNum; //邻域内随机值 
 
Point ptL; //左键按下时坐标 
Point ptR; //右键按下时坐标 
 
//鼠标回掉函数 
void onMouse(int event, int x, int y, int flag, void *ustg); 
 
int main() 
{ 
  imageSourceCopy = imread("Test.jpg"); 
  imageSource = imageSourceCopy.clone(); 
  //imshow("马赛克", imageSourceCopy); 
  namedWindow("马赛克"); 
  setMouseCallback("马赛克", onMouse); 
  waitKey(); 
} 
 
void onMouse(int event, int x, int y, int flag, void *ustg) 
{ 
  if (event == CV_EVENT_LBUTTONDOWN) 
  { 
    ptL = Point(x, y); 
  } 
  if (event == CV_EVENT_LBUTTONUP) 
  { 
    //对鼠标画出的矩形框超出图像范围做处理，否则会越界崩溃 
    x > imageSource.cols - 2 * neightbourHood ? x = imageSource.cols - 2 * neightbourHood : x = x; 
    y > imageSource.rows - 2 * neightbourHood ? y = imageSource.rows - 2 * neightbourHood : y = y; 
 
    //对鼠标从右下往右上画矩形框的情况做处理 
    ptR = Point(x, y); 
    Point pt = ptR; 
    ptR.x < ptL.x ? ptR = ptL, ptL = pt : ptR = ptR; 
    for (int i = 0; i < ptR.y - ptL.y; i += neightbourHood) 
    { 
      for (int j = 0; j < ptR.x - ptL.x; j += neightbourHood) 
      { 
        randomNum = rng.uniform(-neightbourHood / 2, neightbourHood / 2); 
        Rect rect = Rect(j + neightbourHood + ptL.x, i + neightbourHood + ptL.y, neightbourHood, neightbourHood); 
        Mat roi = imageSourceCopy(rect); 
        Scalar sca = Scalar( 
          imageSource.at<Vec3b>(i + randomNum + ptL.y, j + randomNum + ptL.x)[0], 
          imageSource.at<Vec3b>(i + randomNum + ptL.y, j + randomNum + ptL.x)[1], 
          imageSource.at<Vec3b>(i + randomNum + ptL.y, j + randomNum + ptL.x)[2]); 
        Mat roiCopy = Mat(rect.size(), CV_8UC3, sca); 
        roiCopy.copyTo(roi); 
      } 
    } 
  } 
  imshow("马赛克", imageSourceCopy); 
  waitKey(); 
} 

#include <core\core.hpp> 
#include <highgui\highgui.hpp> 
 
using namespace cv; 
 
int main() 
{ 
  Mat imageSource = imread("Test.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(); 
}