我只想将结果重现为已发布here。
我将源重写为EmguCV表单。
Image<Bgr, byte> image = new Image<Bgr, byte>(@"B:\perspective.png");
CvInvoke.cvShowImage("Hello World!", image);
float[,] scrp = { { 43, 18 }, { 280,40}, {19,223 }, { 304,200} };
float[,] dstp = { { 0,0}, { 320,0}, { 0,240 }, { 320,240 } };
float[,] homog = new float[3, 3];
Matrix<float> c1 = new Matrix<float>(scrp);
Matrix<float> c2 = new Matrix<float>(dstp);
Matrix<float> homogm = new Matrix<float>(homog);
CvInvoke.cvFindHomography(c1.Ptr, c2.Ptr, homogm.Ptr, Emgu.CV.CvEnum.HOMOGRAPHY_METHOD.DEFAULT, 0, IntPtr.Zero);
CvInvoke.cvGetPerspectiveTransform(c1, c2, homogm);
Image<Bgr, byte> newImage = image.WarpPerspective(homogm, Emgu.CV.CvEnum.INTER.CV_INTER_CUBIC, Emgu.CV.CvEnum.WARP.CV_WARP_DEFAULT, new Bgr(0, 0, 0));
CvInvoke.cvShowImage("newImage", newImage);
这是测试图像。
newImage始终是空白图像。
任何人都可以帮助我使我的源代码工作吗?
答案 0 :(得分:4)
希望我自己找到答案。
我将源重写为错误的形式。我应该使用Point []并使用CameraCalibration.GetPerspectiveTransform
函数。
PointF[] srcs = new PointF[4];
srcs[0] = new PointF(253, 211);
srcs[1] = new PointF(563, 211);
srcs[2] = new PointF(563, 519);
srcs[3] = new PointF(253, 519);
PointF[] dsts = new PointF[4];
dsts[0] = new PointF(234, 197);
dsts[1] = new PointF(520, 169);
dsts[2] = new PointF(715, 483);
dsts[3] = new PointF(81, 472);
HomographyMatrix mywarpmat = CameraCalibration.GetPerspectiveTransform(srcs, dsts);
Image<Bgr, byte> newImage = image.WarpPerspective(mywarpmat, Emgu.CV.CvEnum.INTER.CV_INTER_NN, Emgu.CV.CvEnum.WARP.CV_WARP_FILL_OUTLIERS, new Bgr(0, 0, 0));
答案 1 :(得分:1)
这是EmguCV版本3的扩展方法(不推荐使用许多功能):
public static Image<TColor, TDepth> GetAxisAlignedImagePart<TColor, TDepth>(
this Image<TColor, TDepth> input,
Quadrilateral rectSrc,
Quadrilateral rectDst,
Size targetImageSize)
where TColor : struct, IColor
where TDepth : new()
{
var src = new[] { rectSrc.P0, rectSrc.P1, rectSrc.P2, rectSrc.P3 };
var dst = new[] { rectDst.P0, rectDst.P1, rectDst.P2, rectDst.P3 };
using (var matrix = CvInvoke.GetPerspectiveTransform(src, dst))
{
using (var cutImagePortion = new Mat())
{
CvInvoke.WarpPerspective(input, cutImagePortion, matrix, targetImageSize, Inter.Cubic);
return cutImagePortion.ToImage<TColor, TDepth>();
}
}
}