OpenCV 学习

 #include <opencv2\opencv.hpp>
 #include <iostream>
 #include <opencv2\highgui\highgui.hpp>
 #include <Windows.h>
 using namespace std;
 using namespace cv;

 const int Silder_Max = ;
 int Silder;
 Mat Image;
 Mat Result;
 BOOL bLBtnDown = FALSE;
 BOOL bLBtnUp = FALSE;
 Point Corner1, Corner2;
 Rect box;
 VOID ColorReduce(Mat& InputImage, Mat& OutputImage, int div,int Func);
 static VOID Mouse_CallBack(int Event, int x, int y, int, VOID*);
 VOID On_TrackBar(int Pos,VOID*);
 VOID Sub_1();
 int main()
 {
     //    Mat picture = imread("1.jpg");//图片必须添加到工程目录下
     //                                          //也就是和test.cpp文件放在一个文件夹下！！！
     //    imshow("测试程序", picture);
     //    waitKey(20150901);
     //}
     Image = imread("3.jpg");
     namedWindow("原图像");
     namedWindow("显示结果");
     namedWindow("Cropping app");
     Silder = ;
     createTrackbar("ColorReduce", "显示结果", &Silder, Silder_Max, On_TrackBar);
     setMouseCallback("原图像", Mouse_CallBack);
     imshow("原图像", Image);
     imshow("显示结果", Image);
     waitKey();
 }

 #pragma region 鼠标事件回调

 static VOID Mouse_CallBack(int Event, int x, int y, int, VOID*)
 {
     if (Event == EVENT_LBUTTONDOWN)
     {
         bLBtnDown = TRUE;
         Corner1.x = x;
         Corner1.y = y;
         cout << Corner1 << endl;
     }
     if (Event == EVENT_LBUTTONUP)
     {
         if (abs(x - Corner1.x) >  && abs(y - Corner1.y) > )
         {
             bLBtnUp = TRUE;
             Corner2.x = x;
             Corner2.y = y;
             cout << Corner2 << endl;
         }
         else
         {
             bLBtnDown = FALSE;
         }
     }
     if (bLBtnDown == TRUE && bLBtnUp == FALSE)
     {
         Point pt;
         pt.x = x;
         pt.y = y;
         Mat Local_Image = Image.clone();
         rectangle(Local_Image, Corner1, pt, Scalar(, , ));

         imshow("Cropping app", Local_Image);
     }
     if (bLBtnDown == TRUE && bLBtnUp == TRUE)
     {
         box.width = abs(Corner1.x - Corner2.x);
         box.height = abs(Corner1.y - Corner2.y);
         box.x = min(Corner1.x, Corner2.x);
         box.y = min(Corner1.y, Corner2.y);
         Mat crop(Image, box);
         Mat Temp;
         ColorReduce(crop, Temp, , );
         namedWindow("Crop");
         imshow("Crop", Temp);
         bLBtnDown = FALSE;
         bLBtnUp = FALSE;

     }
 }

 #pragma endregion
 #pragma region 滑竿空间操作
 VOID On_TrackBar(int Pos, VOID*)
 {
     if (Pos <= )
     {
         Result = Image;
     }
     else
     {
         ColorReduce(Image, Result, Pos, );
     }
     imshow("显示结果", Result);
 }
 #pragma endregion

 #pragma region 色素操作

 VOID ColorReduce(Mat& InputImage, Mat& OutputImage, int div, int Func)
 {

     if (Func == )
     {
         OutputImage = InputImage.clone();
         int Rows = OutputImage.rows;
         int Cols = OutputImage.cols * OutputImage.channels();
         if (OutputImage.isContinuous())
         {
             Cols *= Rows;
             Rows = ;
         }
         for (int i = ;i < Rows;i++)
         {
             UCHAR* Data = InputImage.ptr<UCHAR>(i);
             UCHAR* DataOut = OutputImage.ptr<UCHAR>(i);
             for (int j = ;j < Cols;j++)
             {
                 Data[j] = DataOut[j] / div*div + div / ;
             }
         }
     }
     else
     {
         OutputImage = InputImage.clone();
         int Rows = OutputImage.rows;
         int Cols = OutputImage.cols;
         for (int i = ;i < Rows;i++)
         {
             for (int j = ;j < Cols;j++)
             {
                 OutputImage.at<Vec3b>(i, j)[] =  - OutputImage.at<Vec3b>(i, j)[];
                 OutputImage.at<Vec3b>(i, j)[] =  - OutputImage.at<Vec3b>(i, j)[];
                 OutputImage.at<Vec3b>(i, j)[] =  - OutputImage.at<Vec3b>(i, j)[];

             }
         }
     }

 }
 #pragma endregion

 VOID Sub_1()
 {

     Mat Image, Result;
     cout << "Size: " << Image.size().height << "," << Image.size().width << endl;
     Image = imread("1.jpg");
     if (!Image.data)
     {

         cout << "Read Data Failed" << endl;
     }
     namedWindow("Ortginal Image");
     imshow("Ortginal Image", Image);
     flip(Image, Result, );
     namedWindow("Output Image");
     imshow("Output Image", Result);
     waitKey();
 }