private void button1_Click(object sender, EventArgs e)
{
IOHelper.DeletePictures();
MinValueHarris = Convert.ToDouble(txb_minValue.Text);
WindowSize = Convert.ToInt32(txb_WindowSize.Text);
int maxPoints = Convert.ToInt32(txb_Filter.Text);
int gridSize = Convert.ToInt32(txb_gridSize.Text);
int cellSize = Convert.ToInt32(txb_cellSize.Text);
int binsCount = Convert.ToInt32(txb_binsCount.Text);
if (filter_checkBox.Checked == true)
{
maxPoints = Convert.ToInt32(txb_Filter.Text);
}
else
{
maxPoints = 5000;
}
List <ForDescriptor.Descriptor> descriptorsA = BlobsFinder.FindBlobs(imageA, maxPoints);
List <ForDescriptor.Descriptor> descriptorsB = BlobsFinder.FindBlobs(imageB, maxPoints);
List <ValueTuple <ForDescriptor.Descriptor, ForDescriptor.Descriptor> > match;
if (rbt_usual.Checked == true)
{
match = DescriptorMatcher.Match(descriptorsA, descriptorsB);
}
else if (rbt_NNDR.Checked == true)
{
match = DescriptorMatcher.Nndr(descriptorsA, descriptorsB);
}
else
{
match = DescriptorMatcher.Match(descriptorsA, descriptorsB);
}
lbl_findPoints1.Text = "Найдено интересных точек(1): " + descriptorsA.Count;
lbl_findPoints2.Text = "Найдено интересных точек(2): " + descriptorsB.Count;
lbl_PairCount.Text = "Найдено пар точек: " + match.Count;
var image = DrawHelper.DrawTwoImages(
DrawHelper.DrawPoints(imageA, descriptorsA), DrawHelper.DrawPoints(imageB, descriptorsB), match);
// var image = DrawHelper.DrawPoints(imageA, descriptorsA);
IOHelper.WriteImageToFile(image, "..\\..\\..\\..\\Output\\OutputPicture.png");
pictureBox1.Image = image;
}
private void button2_Click(object sender, EventArgs e)
{
int maxPoints = Convert.ToInt32(txb_Filter.Text);
string name = PathToWriteImage + "resultPicture.jpg";
Bitmap bmp1 = new Bitmap(PathToReadImage + "bridge1.jpg");
Bitmap bmp2 = new Bitmap(PathToReadImage + "bridge2.jpg");
var descriptorsABlobs = BlobsFinder.FindBlobs(IOHelper.ImageToMat(bmp1), maxPoints);
var descriptorsBBlobs = BlobsFinder.FindBlobs(IOHelper.ImageToMat(bmp2), maxPoints);
var match = DescriptorMatcher.Nndr(descriptorsABlobs, descriptorsBBlobs);
lbl_findPoints1.Text = "Найдено интересных точек(1): " + descriptorsABlobs.Count;
lbl_findPoints2.Text = "Найдено интересных точек(2): " + descriptorsBBlobs.Count;
lbl_PairCount.Text = "Найдено пар точек: " + match.Count;
var(matrixA, matrixB) = Ransac.CalculateTransform(match);
var result = Transformer.Transform(bmp1, bmp2, matrixA, matrixB);
result.Save(name, ImageFormat.Jpeg);
pictureBox1.Image = result;
}
public List <Point[]> Find()
{
CoordinateStep = Math.Min(image.Width, image.Height) / 5;
var cellsX = (int)Math.Ceiling(image.Width * 1D / CoordinateStep);
var cellsY = (int)Math.Ceiling(image.Height * 1D / CoordinateStep);
VotesImage = IOHelper.MatToImage(image);
for (var i = 1; i < cellsX; i++)
{
var x = CoordinateStep * i;
DrawHelper.DrawLine(VotesImage, x, 0, x, image.Height - 1);
}
for (var i = 1; i < cellsY; i++)
{
var y = CoordinateStep * i;
DrawHelper.DrawLine(VotesImage, 0, y, image.Width - 1, y);
}
var descriptors1 = BlobsFinder.FindBlobs(sample, 500);
var descriptors2 = BlobsFinder.FindBlobs(image, 500);
var matches = DescriptorMatcher.Nndr(descriptors2, descriptors1);
ReverseMatches = matches.Select(x => new Match(x.Item2, x.Item1)).ToList();
var sampleCenterX = sample.Width / 2.0;
var sampleCenterY = sample.Height / 2.0;
votes = new double[cellsX, cellsY, AngleCells, CellsScale];
voters = new List <Match> [cellsX, cellsY, AngleCells, CellsScale];
foreach (var match in matches)
{
var samplePoint = match.Item2.Point;
var imagePoint = match.Item1.Point;
var scale = imagePoint.Radius / samplePoint.Radius;
var angle = match.Item2.Angle - match.Item1.Angle;
var vectorX = scale * (sampleCenterX - samplePoint.getX());
var vectorY = scale * (sampleCenterY - samplePoint.getY());
var centerX = imagePoint.getX() + vectorX * Math.Cos(angle) - vectorY * Math.Sin(angle);
var centerY = imagePoint.getY() + vectorX * Math.Sin(angle) + vectorY * Math.Cos(angle);
Vote(match, centerX, centerY, scale, angle);
DrawHelper.DrawLine(VotesImage,
imagePoint.getX(), imagePoint.getY(),
(int)Math.Round(centerX), (int)Math.Round(centerY));
}
for (var x = 0; x < cellsX; x++)
{
for (var y = 0; y < cellsY; y++)
{
for (var a = 0; a < AngleCells; a++)
{
for (var s = 0; s < CellsScale; s++)
{
if (IsVotesLocalMaximum(x, y, a, s) && voters[x, y, a, s].Count > VotersThreshold)
{
// DrawHelper.DrawPolygon(VotesImage, GetPreliminary(x, y, a, s), true);
objects.Add(GetLocation(Ransac.CalculateTransform(voters[x, y, a, s])));
}
}
}
}
}
return(objects);
}
