基於Opencv3.0對影象進行透視變換
阿新 • • 發佈：2018-11-15
一，計算圖片
垂直拍攝的標定板
傾斜30度拍攝的標定板
待處理影象
二，矯正效果
矯正效果圖
二，原始碼
全域性變數
//#######################################
std::vector pointsCZ, pointsQX; //垂直，傾斜
//#######################################
1，計算標定板，獲取內角點座標
//標定板內角點計算
void C透視變換Dlg::OnBnClickedButton1()
{
ofstream oFileExcel1;
ofstream oFileExcel2;
string
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2，通過上面獲得的對應角點座標，取其中不在同一平面上的4點計算轉換矩陣，並通過轉換矩陣矯正影象
//4點透視變換
void C透視變換Dlg::OnBnClickedTestButton()
{
//###################################################################################################
//獲取對映矩陣
//###################################################################################################
// get original image.
cv::Mat originalImage = cv::imread("D:\\程式測試圖片\\7_7自定義標定板2\\dx30_1.bmp", 4);
// perspective image.
cv::Mat perspectiveImage;
// perspective transform
cv::Point2f objectivePoints[4], imagePoints[4];
imagePoints[0].x = 923.43; imagePoints[0].y = 1284.55;
imagePoints[1].x = 938.906; imagePoints[1].y = 857.076;
imagePoints[2].x = 1590; imagePoints[2].y = 853.5;
imagePoints[3].x = 1619.71; imagePoints[3].y = 1277.56;
// objective points of perspective image.
// move up the perspective image : objectivePoints.y - value .
// move left the perspective image : objectivePoints.x - value.
double moveValueX = 0.0;
double moveValueY = 0.0;
objectivePoints[0].x = 717.5 + moveValueX; objectivePoints[0].y = 1380.5 + moveValueY;
objectivePoints[1].x = 714.5 + moveValueX; objectivePoints[1].y = 750.5 + moveValueY;
objectivePoints[2].x = 1562.82 + moveValueX; objectivePoints[2].y = 745.389 + moveValueY;
objectivePoints[3].x = 1563.13 + moveValueX; objectivePoints[3].y = 1379.65 + moveValueY;
//獲取轉換矩陣 //原點 //目標點
cv::Mat transform = cv::getPerspectiveTransform(objectivePoints, imagePoints);
// 透視變換
cv::warpPerspective(originalImage,
perspectiveImage,
transform,
cv::Size(originalImage.rows, originalImage.cols),
cv::INTER_LINEAR | cv::WARP_INVERSE_MAP);
// cv::imshow("perspective image", perspectiveImage);
// cvWaitKey(0);
//cv::imwrite("D:\\程式測試圖片\\透視變換原圖.bmp", originalImage);
cv::imwrite("D:\\程式測試圖片\\7_7自定義標定板2\\dx30_1透視變換矯正圖.bmp", perspectiveImage);
//return 0;
}
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3，通過1計算出的所有角點座標計算轉換矩陣，並通過轉換矩陣矯正影象
//多點透視變換
void C透視變換Dlg::OnBnClickedButton2()
{
//###################################################################################################
//獲取對映矩陣
//###################################################################################################
Mat math, origimg, desimg, mask;
math = cv::findHomography(pointsQX, pointsCZ, mask);
origimg = imread("D:\\程式測試圖片\\7_7自定義標定板2\\y30_0.bmp", 4);//讀取垂直標定影象
//cv::perspectiveTransform(origimg,desimg,math);
cv::warpPerspective(origimg, desimg, math, Size(origimg.cols, origimg.rows));
imwrite("D:\\程式測試圖片\\7_7自定義標定板2\\y30_0opencv多點矯正.bmp", desimg);
}
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一，計算圖片
垂直拍攝的標定板