#include <opencv2/opencv.hpp>

/*
功能：對一系列坐標(biāo)點進(jìn)行平移仿射變換
參數(shù)：
srcPoints:輸入點坐標(biāo)
dstPoints:變換后的點坐標(biāo)
x:x方向平移的距離
y:y方向平移的距離
*/
void tranlatePoints(std::vector<cv::Point2f>& srcPoints, std::vector<cv::Point2f>& dstPoints,double x,double y)
{
?? ?cv::Mat affineMatrix = (cv::Mat_<double>(2, 3) << 1, 0, x, 0, 1,y);
?? ?cv::transform(srcPoints, dstPoints, affineMatrix);
}

/*
功能：對一系列點進(jìn)行旋轉(zhuǎn)仿射變換
參數(shù)：
srcPoints:輸入點坐標(biāo)
dstPoints:變換后的點坐標(biāo)
basePoint:旋轉(zhuǎn)基準(zhǔn)點
zoomRate:縮放比例，默認(rèn)為1表示不縮放
*/
void rotatePoints(std::vector<cv::Point2f>& srcPoints, std::vector<cv::Point2f>& dstPoints, cv::Point& basePoint,int degree, float zoomRate=1)
{
?? ?cv::Mat affineMatrix = cv::getRotationMatrix2D(basePoint,degree,zoomRate);
?? ?cv::transform(srcPoints, dstPoints, affineMatrix);
}

/*
功能：對一系列點進(jìn)行縮放仿射變換
參數(shù)：
srcPoints:輸入點坐標(biāo)
dstPoints:變換后的點坐標(biāo)
basePoint:縮放基準(zhǔn)點
zoomRate:縮放比例
*/
void zoomPoints(std::vector<cv::Point2f>& srcPoints, std::vector<cv::Point2f>& dstPoints, cv::Point& basePoint,float zoomRate)
{
?? ?cv::Mat affineMatrix = cv::getRotationMatrix2D(basePoint,0,zoomRate);
?? ?cv::transform(srcPoints, dstPoints, affineMatrix);
}

/*
功能：對一張圖片進(jìn)行平移
參數(shù)：
src:要平移的圖片
dst:平移的結(jié)果
x:x方向平移的距離
y:y方向平移的距離
*/
void translateImage(cv::Mat& src, cv::Mat& dst, double x, double y)
{
?? ?cv::Mat M = (cv::Mat_<double>(2, 3) << 1, 0, x, 0, 1, y);
?? ?cv::warpAffine(src, dst, M, src.size());
}

/*
功能：對一張圖片進(jìn)行旋轉(zhuǎn)
參數(shù)：
image:輸入圖像
imgOut:旋轉(zhuǎn)后的圖像
angle:旋轉(zhuǎn)角度
*/
void rotateImage(cv::Mat& image, cv::Mat& imgOut, int angle)
{
?? ?/*
?? ?對旋轉(zhuǎn)的進(jìn)行改進(jìn)，由于圖形是一個矩形，旋轉(zhuǎn)后的新圖像的形狀是一個原圖像的外接矩形
?? ?因此需要重新計算出旋轉(zhuǎn)后的圖形的寬和高
?? ?*/
?? ?int width = image.cols;
?? ?int height = image.rows;

?? ?double radian = angle * CV_PI / 180.;//角度轉(zhuǎn)換為弧度
?? ?double width_rotate = fabs(width*cos(radian)) + fabs(height*sin(radian));
?? ?double height_rotate = fabs(width*sin(radian)) + fabs(height*cos(radian));

?? ?//旋轉(zhuǎn)中心 原圖像中心點
?? ?cv::Point2f center((float)width / 2.0, (float)height / 2.0);
?? ?//旋轉(zhuǎn)矩陣
?? ?cv::Mat m1 = cv::getRotationMatrix2D(center, angle, 1.0);
?? ?//m1為2行3列通道數(shù)為1的矩陣
?? ?//變換矩陣的中心點相當(dāng)于平移一樣 原圖像的中心點與新圖像的中心點的相對位置
?? ?m1.at<double>(0, 2) += (width_rotate - width) / 2.;
?? ?m1.at<double>(1, 2) += (height_rotate - height) / 2.;
?? ?if (image.channels() == 1)
?? ?{
?? ??? ?cv::warpAffine(image, imgOut, m1, cv::Size(width_rotate, height_rotate), cv::INTER_LINEAR, 0, cv::Scalar(0));
?? ?}
?? ?else if (image.channels() == 3)
?? ?{
?? ??? ?cv::warpAffine(image, imgOut, m1, cv::Size(width_rotate, height_rotate), cv::INTER_LINEAR, 0, cv::Scalar(0,0,0));
?? ?}
}

/*
功能：對一張圖片進(jìn)行縮放
參數(shù)：
src:輸入圖像
dst:縮放后的圖像
basePoint:縮放基準(zhǔn)點
zoomRate:縮放比例
*/
void zoomImage(cv::Mat& src, cv::Mat& dst, cv::Point& rotaPoint, float zoomRate)
{
?? ?cv::Mat M = cv::getRotationMatrix2D(rotaPoint, 0, zoomRate);
?? ?cv::warpAffine(src, dst, M, src.size());
}

//#define TESTPOINTS
#define TESTIMAGE

int main() {
#ifdef TESTPOINTS
?? ?// 創(chuàng)建原始點集
?? ?std::vector<cv::Point2f> srcPoints = { cv::Point2f(100, 100), cv::Point2f(200, 200), cv::Point2f(300, 300) };
?? ?//變換點集
?? ?std::vector<cv::Point2f> dstPoints;
?? ?//tranlatePoints(srcPoints, dstPoints, 10, 10);
?? ?cv::Point point(0, 0);
?? ?//rotatePoints(srcPoints, dstPoints, point,180);
?? ?//zoomPoints(srcPoints, dstPoints, point, 0.5);

?? ?// 輸出結(jié)果
?? ?std::cout << "原始點集: ";
?? ?for (const auto& point : srcPoints) {
?? ??? ?std::cout << point << " ";
?? ?}
?? ?std::cout << std::endl;

?? ?std::cout << "仿射變換后的點集: ";
?? ?for (const auto& point : dstPoints) {
?? ??? ?std::cout << point << " ";
?? ?}
?? ?std::cout << std::endl;
#endif // TESTPOINTS

#ifdef TESTIMAGE
?? ?cv::Mat img1 = cv::imread("D:/20240103141532.png");
?? ?cv::Mat dst;
?? ?//translateImage(img1, dst, -50, 50);
?? ?//cv::imshow("src",img1);
?? ?//cv::imshow("1", dst);
?? ?//cv::waitKey(0);
?? ?
?? ?//for (int i = 0; i < 36; i++)
?? ?//{
?? ?//?? ?rotateImage(img1, dst,i * 10);
?? ?//?? ?cv::imshow("1", dst);
?? ?//?? ?cv::waitKey(0);
?? ?//}

?? ?//int width = img1.cols;
?? ?//int height = img1.rows;
?? ?//cv::Point basePoint((float)width / 2.0, (float)height / 2.0);
?? ?//zoomImage(img1, dst, basePoint, 0.5);
?? ?//cv::imshow("src", img1);
?? ?//cv::imshow("1", dst);
?? ?//cv::waitKey(0);
#endif // TESTIMAGE
?? ?return 0;
}文章來源地址http://www.zghlxwxcb.cn/news/detail-795463.html

到了這里，關(guān)于opencv仿射變換的文章就介紹完了。如果您還想了解更多內(nèi)容，請在右上角搜索TOY模板網(wǎng)以前的文章或繼續(xù)瀏覽下面的相關(guān)文章，希望大家以后多多支持TOY模板網(wǎng)！