#include "opencv2/highgui/highgui.hpp"
#include "opencv2/imgproc/imgproc.hpp"
#include <iostream>
#include <stdio.h>

using namespace cv;
using namespace std;

//全局变量
char* source_window = "Source image";
char* warp_window = "Warp";
char* warp_rotate_window = "Warp + Rotate";

int main( int argc, char** argv )
{
Point2f srcTri[3];
Point2f dstTri[3];//两个数组指针用于存储变换用的点

Mat rot_mat( 2, 3, CV_32FC1 );
Mat warp_mat( 2, 3, CV_32FC1 );
Mat src, warp_dst, warp_rotate_dst;

//加载彩色图像
src = imread( argv[1], 1 );

//设置目标图像的类型和大小与原输入图像一致
warp_dst = Mat::zeros( src.rows, src.cols, src.type() );

//设置3个点来计算仿射变换
srcTri[0] = Point2f( 0,0 );
srcTri[1] = Point2f( src.cols - 1, 0 );
srcTri[2] = Point2f( 0, src.rows - 1 );

dstTri[0] = Point2f( src.cols*0.0, src.rows*0.33 );
dstTri[1] = Point2f( src.cols*0.85, src.rows*0.25 );
dstTri[2] = Point2f( src.cols*0.15, src.rows*0.7 );

//获得仿射变换 warp_mat仿射变换2x3矩阵
warp_mat = getAffineTransform( srcTri, dstTri );

//对原输入图像应用仿射变换
warpAffine( src, warp_dst, warp_mat, warp_dst.size() );

//===变换后旋转图像===\\

//以图像为中心计算一个旋转矩阵
Point center = Point( warp_dst.cols/2, warp_dst.rows/2 );
double angle = -50.0;
double scale = 0.6;

//获得满足上述条件的旋转矩阵
rot_mat = getRotationMatrix2D( center, angle, scale );

//旋转变换后的图像
warpAffine( warp_dst, warp_rotate_dst, rot_mat, warp_dst.size() );


//创建窗口用于显示输出
namedWindow( source_window, CV_WINDOW_AUTOSIZE );
imshow( source_window, src );

namedWindow( warp_window, CV_WINDOW_AUTOSIZE );
imshow( warp_window, warp_dst );

namedWindow( warp_rotate_window, CV_WINDOW_AUTOSIZE );
imshow( warp_rotate_window, warp_rotate_dst );

//等待
waitKey(0);

return 0;
}


opencv-图像仿射变换_openCV


opencv-图像仿射变换_旋转矩阵_02