#include <opencv2/opencv.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <opencv2/imgproc/imgproc.hpp>
using namespace cv;
using namespace std;
#define WINDOW_NAME1 "【原始图窗口】"
#define WINDOW_NAME2 "【经过Warp后的图像】"
#define WINDOW_NAME3 "【经过Warp和Rotate后的图像】"
static void ShowHelpText();
int main()
{
system("color 1A");
//ShowHelpText();
//两个三角形
Point2f srcTriangle[3];
Point2f dstTriangle[3];
Mat rotMat(2, 3, CV_32FC1);
Mat warpMat(2, 3, CV_32FC1);
Mat srcImage, dstImage_warp, dstImage_warp_rotate;
srcImage = imread("C:/Users/hasee-pc/Desktop/girl.jpg",1);
//目标图和原图一样大小
dstImage_warp = Mat::zeros(srcImage.rows, srcImage.cols,srcImage.type());
//原图像和目标图像上的三组点以计算放射变换
srcTriangle[0] = Point2f(0, 0);
srcTriangle[1] = Point2f(static_cast<float>(srcImage.cols - 1), 0);
srcTriangle[2] = Point2f(0, static_cast<float>(srcImage.rows - 1));
dstTriangle[0] = Point2f(static_cast<float>(srcImage.cols*0.0), static_cast<float>(srcImage.rows - 0.33));
dstTriangle[1] = Point2f(static_cast<float>(srcImage.cols*0.65), static_cast<float>(srcImage.rows*0.35));
dstTriangle[2] = Point2f(static_cast<float>(srcImage.cols*0.15), static_cast<float>(srcImage.rows*0.6));
//求得放射变换
warpMat = getAffineTransform(srcTriangle, dstTriangle);
//对原图像应用放射变换
warpAffine(srcImage, dstImage_warp, warpMat, dstImage_warp.size());
//对图像进行缩放后旋转
//计算绕图像中点顺时针旋转50度缩放因子为0.6的旋转矩阵
Point center = Point(dstImage_warp.cols / 2, dstImage_warp.rows / 2);
double angle = -30.0;
double scale = 0.8;
//如上旋转细节信息求得旋转矩阵
rotMat = getRotationMatrix2D(center, angle, scale);
//旋转缩放后的图像
warpAffine(dstImage_warp, dstImage_warp_rotate, rotMat, dstImage_warp.size());
imshow(WINDOW_NAME1, srcImage);
imshow(WINDOW_NAME2, dstImage_warp);
imshow(WINDOW_NAME3, dstImage_warp_rotate);
waitKey(0);
return 0;
}