opencv3 计算反向投影-鼠标事件

#include<opencv2/opencv.hpp>
#include<iostream>
#include<vector>

using namespace cv;
using namespace std;

vector<Mat> modeHImage;
Mat findImage;
int binValue = 254;

Mat modeImage;

bool g_bDrawingBox = false;
Rect g_rectangle;
RNG &g_rng = theRNG();
Mat modeROIImage;
Point startPoint;
Mat tempImage;

void onMouse(int event, int x, int y, int flag, void *param)
{
Mat &img = *(cv::Mat*)param;

switch (event)
{
//移动鼠标的时候
case CV_EVENT_MOUSEMOVE:
{
if (g_bDrawingBox)
{
g_rectangle.width = x - g_rectangle.x;
g_rectangle.height = y - g_rectangle.y;

tempImage.copyTo(modeImage);
rectangle(modeImage, startPoint
, Point(startPoint.x + g_rectangle.width, startPoint.y + g_rectangle.height)
, Scalar(g_rng.uniform(0, 255), g_rng.uniform(0, 255), g_rng.uniform(0, 255)));
imshow("【模版图像】", modeImage);
}
}
break;
//点击鼠标左键时
case CV_EVENT_LBUTTONDOWN:
{
g_bDrawingBox = true;
g_rectangle = Rect(x, y, 0, 0);
startPoint = Point(x, y);
}
break;
//松开鼠标左键时
case CV_EVENT_LBUTTONUP:
{
g_bDrawingBox = false;

modeROIImage = modeImage(Rect(startPoint.x, startPoint.y, x - startPoint.x, y - startPoint.y));
imshow("【感兴趣区域】", modeROIImage);
tempImage.copyTo(modeImage);
//计算模版图像的直方图
////首先得得到HSV空间的H通道，所以先进行图像空间的转换
//Mat modeHsvImage;
//cvtColor(modeROIImage, modeHsvImage, CV_BGR2HSV);
//split(modeHsvImage, modeHImage);

//计算  得到的H通道的直方图
MatND modeHist;
int channels[] = { 0, 1, 2 };
int histSize[] = { 256, 256, 256 };
float BRanges[] = { 0, 255 };
float GRanges[] = { 0, 255 };
float RRanges[] = { 0, 255 };
const float *ranges[] = { BRanges, GRanges, RRanges };
calcHist(&modeROIImage, 1, channels, Mat(), modeHist, 3, histSize, ranges, true, false);
/*normalize(modeHist, modeHist, 1.0);*/

//利用得到的 模版图像的直方图 计算需要查找的图像的反向投影
Mat backImage;
backImage.create(findImage.size(), CV_8UC1);
backImage = Scalar::all(0);
calcBackProject(&findImage, 1, channels, modeHist, backImage, ranges, 255.0);

imshow("【反向投影计算得到的图像】", backImage);
}
break;
}
}

int main()
{
modeImage = imread("green2.jpg");
modeImage.copyTo(tempImage);
findImage = imread("green1.jpg");
namedWindow("【模版图像】", 0);
imshow("【模版图像】", modeImage);
namedWindow("【查询图像】", 0);
imshow("【查询图像】", findImage);

////对需要查询的图形进行颜色减缩操作
//Mat_<Vec3b>::iterator it = findImage.begin<Vec3b>();
//Mat_<Vec3b>::iterator itend = findImage.end<Vec3b>();
//while (it != itend)
//{
//	(*it)[0] = (*it)[0] / 64 * 64 + 64 / 2;
//	(*it)[1] = (*it)[1] / 64 * 64 + 64 / 2;
//	(*it)[2] = (*it)[2] / 64 * 64 + 64 / 2;

//	++it;
//}

setMouseCallback("【模版图像】", onMouse, (void *)&modeImage);

modeROIImage.create(modeImage.size(), modeImage.type());
modeImage.copyTo(modeROIImage);
char key;
while (1)
{
key = waitKey(1);
if (key == 27)
break;
}

return 0;
}