opencv-图像仿射变换

#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_第1张图片

你可能感兴趣的:(opencv)