/// <summary>
/// Draw the model image and observed image, the matched features and homography projection.
/// </summary>
/// <param name="modelImage">The model image</param>
/// <param name="observedImage">The observed image</param>
/// <returns>The model image and observed image, the matched features and homography projection.</returns>
public Bitmap GetImageWithDrawnMatches(Bitmap modelImage, Bitmap observedImage, MatchingTechnique matchingTechnique)
{
VectorOfKeyPoint modelKeyPoints;
VectorOfKeyPoint observedKeyPoints;
using (Image <Bgr, byte> modelImg = new Image <Bgr, byte>(modelImage))
using (Image <Bgr, byte> observedImg = new Image <Bgr, byte>(observedImage))
using (Emgu.CV.Mat modelMat = modelImg.Mat)
using (Emgu.CV.Mat observedMat = observedImg.Mat)
using (VectorOfVectorOfDMatch matches = new VectorOfVectorOfDMatch())
{
ImageFeatureDetector.FindMatches(modelMat, observedMat, out modelKeyPoints, out observedKeyPoints, matches, out Mat mask, out Mat homography, matchingTechnique);
try
{
using (Mat result = new Mat())
{
Features2DToolbox.DrawMatches(modelMat, modelKeyPoints, observedMat, observedKeyPoints, matches, result, new MCvScalar(255, 0, 0), new MCvScalar(0, 0, 255), mask);
return(result.ToBitmap());
}
}
catch (Exception)
{
throw;
}
finally
{
mask?.Dispose();
homography?.Dispose();
}
}
}
public Bitmap GetCombinedImage(Bitmap originalImage, Bitmap updateImage, bool simpleCombine)
{
int width, height, originalImageX, originalImageY, updateImageX, updateImageY;
if (simpleCombine)
{
width = originalImage.Width + updateImage.Width;
height = Math.Max(originalImage.Height, updateImage.Height);
originalImageX = 0;
originalImageY = 0;
updateImageX = originalImage.Width;
updateImageY = 0;
}
else
{
Tuple <int, int> offsets = ImageFeatureDetector.GetXYOffsets(originalImage, updateImage);
if (offsets.Item1 >= 0)
{
width = (originalImage.Width > offsets.Item1 + updateImage.Width) ? originalImage.Width : offsets.Item1 + updateImage.Width;
originalImageX = 0;
updateImageX = offsets.Item1;
}
else
{
width = -offsets.Item1 + ((originalImage.Width > offsets.Item1 + updateImage.Width) ? originalImage.Width : offsets.Item1 + updateImage.Width);
originalImageX = -offsets.Item1;
updateImageX = 0;
}
if (offsets.Item2 >= 0)
{
height = (originalImage.Height > offsets.Item2 + updateImage.Height) ? originalImage.Height : offsets.Item2 + updateImage.Height;
originalImageY = 0;
updateImageY = offsets.Item2;
}
else
{
height = -offsets.Item2 + ((originalImage.Height > offsets.Item2 + updateImage.Height) ? originalImage.Height : offsets.Item2 + updateImage.Height);
originalImageY = -offsets.Item2;
updateImageY = 0;
}
}
Bitmap bmp = new Bitmap(width, height);
using (Graphics g = Graphics.FromImage(bmp))
{
g.DrawImage(originalImage, originalImageX, originalImageY);
g.DrawImage(updateImage, updateImageX, updateImageY);
}
return(bmp);
}
public Bitmap GetAlignedImage(Bitmap imageToAlign, Bitmap referenceImage, ImageAlignmentType imageAlignmentType)
{
if (imageAlignmentType == ImageAlignmentType.CROP || imageAlignmentType == ImageAlignmentType.MAP)
{
Tuple <int, int> offsets = ImageFeatureDetector.GetXYOffsets(imageToAlign, referenceImage);
if (imageAlignmentType == ImageAlignmentType.CROP)
{
return(GetCroppedImage(imageToAlign, offsets.Item1, offsets.Item2, referenceImage.Width, referenceImage.Height));
}
Bitmap bmp = new Bitmap(referenceImage.Width, referenceImage.Height);
using (Graphics g = Graphics.FromImage(bmp))
using (Brush brush = new SolidBrush(Color.Black))
{
g.FillRectangle(brush, 0, 0, bmp.Width, bmp.Height);
g.DrawImage(imageToAlign, -offsets.Item1, -offsets.Item2);
}
return(bmp);
}
using (Image <Bgr, byte> alignImg = new Image <Bgr, byte>(imageToAlign))
using (Image <Bgr, byte> refImg = new Image <Bgr, byte>(referenceImage))
using (Mat alignMat = alignImg.Mat)
using (Mat refMat = refImg.Mat)
{
using (VectorOfVectorOfDMatch matches = new VectorOfVectorOfDMatch())
{
MatchingTechnique matchingTechnique;
if (imageAlignmentType == ImageAlignmentType.FASTWARP)
{
matchingTechnique = MatchingTechnique.FAST;
}
else if (imageAlignmentType == ImageAlignmentType.FULLWARP)
{
matchingTechnique = MatchingTechnique.ORB;
}
else
{
throw new NotImplementedException();
}
ImageFeatureDetector.FindMatches(alignMat, refMat, out VectorOfKeyPoint modelKeyPoints, out VectorOfKeyPoint observedKeyPoints, matches, out Mat mask, out Mat homography, matchingTechnique, 1.0f);
try
{
using (Mat result = new Mat())
{
Features2DToolbox.DrawMatches(alignMat, modelKeyPoints, refMat, observedKeyPoints, matches, result, new MCvScalar(255, 0, 0), new MCvScalar(0, 0, 255), mask);
result.Save(@"D:\Downloads\Draw.jpg");
}
using (Mat warped = new Mat())
{
if (homography == null)
{
throw new Exception("Could not determine homography between images.");
}
CvInvoke.WarpPerspective(alignMat, warped, homography, refMat.Size);
return(warped.ToBitmap());
}
}
catch (Exception)
{
throw;
}
finally
{
mask.Dispose();
homography.Dispose();
}
}
}
}
