Opencv做仿射变换

#include "pch.h"
#include <iostream>
#include <opencv2/opencv.hpp>
using namespace std;
using namespace cv;

int main()
{  
        system("color 4F");  //改变控制台的字体颜色，红底白字
	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("test.jpg");
	//设置目标图像的大小和类型与源图像一致
	dstImage_warp = Mat::zeros(srcImage.rows, srcImage.cols, srcImage.type());

	//设置源图像和目标图像上的三组点以计算仿射变换
	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));

	/*
	变换矩阵：
	[[0.0, 0.75 0.3],[0.33 0.5 0.8]]
	*/
	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 * 0.75), static_cast<float>(srcImage.rows*0.5));
	dstTriangle[2] = Point2f(static_cast<float>(srcImage.cols * 0.3), static_cast<float>(srcImage.rows*0.8));

	//求得仿射变换矩阵
	warpMat = getAffineTransform(srcTriangle, dstTriangle);
	//对图像应用刚刚的仿射变换
	warpAffine(srcImage, dstImage_warp, warpMat, dstImage_warp.size());
	//对图像进行缩放后再旋转
	//计算绕图像中的点顺时针旋转50°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;
	//通过上面的旋转细节信息求得旋转矩阵
	rotMat = getRotationMatrix2D(center, angle, scale);
	warpAffine(dstImage_warp, dstImage_warp_rotate, rotMat, dstImage_warp.size());

	//imwrite("srcImage.jpg", srcImage);
	imwrite("dstImage_warp.jpg", dstImage_warp);
	imwrite("dstImage_warp_rotate.jpg", dstImage_warp_rotate);
	return 0;
}

变换结果：

原图：

仿射变换结果：

旋转结果：