public void RansacLineConstructorTest2()
{
Accord.Math.Tools.SetupGenerator(0);
Bitmap image = Resources.noise_line;
//Accord.Controls.ImageBox.Show(image);
var detector = new SusanCornersDetector();
List<IntPoint> cloud = detector.ProcessImage(image);
Assert.AreEqual(211, cloud.Count);
Bitmap marks = new PointsMarker(cloud, Color.Pink).Apply(image);
//Accord.Controls.ImageBox.Show(marks);
RansacLine ransac = new RansacLine(5, 1e-10);
Line line = ransac.Estimate(cloud);
Assert.AreEqual(0.501134932f, line.Intercept);
Assert.AreEqual(-0.865369201f, line.Slope);
//var result = new LineMarker(line).Apply(image);
//Accord.Controls.ImageBox.Show(result);
}
//1. bright pixel / dark pixel
//2.lowest gray level
//3.highest gray level
//4.number of peaks in the x direction.
//5.number of peaks in the y direction.
public static double[] ExtractFeatures(Bitmap bmp,int i)
{
//Apply GrayScale
GrayscaleBT709 greyScaleFilter = new GrayscaleBT709();
Bitmap newBmp = greyScaleFilter.Apply((Bitmap)bmp.Clone());
//Count Blobs
BlobCounter blobCounter = new BlobCounter();
blobCounter.BackgroundThreshold = Color.FromArgb(255, 150, 150, 150);
blobCounter.ProcessImage(newBmp);
int blobs = (blobCounter.ObjectsCount - 1) * 30;
//Count Corner
SusanCornersDetector scd = new SusanCornersDetector();
scd.DifferenceThreshold = 70;
scd.GeometricalThreshold = 8;
int corners = scd.ProcessImage((Bitmap)newBmp.Clone()).Count();
//Apply Edge Filter
CannyEdgeDetector filter = new CannyEdgeDetector();
//newBmp = filter.Apply(newBmp);
Histogram his = new HorizontalIntensityStatistics(newBmp).Gray;
Histogram vis = new VerticalIntensityStatistics(newBmp).Gray;
HoughLineTransformation lineTransform = new HoughLineTransformation();
// apply Hough line transofrm
lineTransform.ProcessImage(filter.Apply(newBmp));
Bitmap houghLineImage = lineTransform.ToBitmap();
// get lines using relative intensity
HoughLine[] lines = lineTransform.GetLinesByRelativeIntensity(1);
int linesCount = lines.Count() * 30;
double[] features = new double[13] { blobs, corners, his.Max, his.Min, his.Mean, his.Median, his.StdDev,
vis.Max, vis.Min, vis.Mean, vis.Median, vis.StdDev,linesCount};
//double[] features = new double[3] { blobs, corners,lines};
newBmp.Save(String.Format("test{0}.bmp",i));
return features;
}
public void RansacLineConstructorTest2()
{
Bitmap image = Properties.Resources.noise_line;
ImageBox.Show(image);
var detector = new SusanCornersDetector();
List<IntPoint> cloud = detector.ProcessImage(image);
Bitmap marks = new PointsMarker(cloud, Color.Pink).Apply(image);
ImageBox.Show(marks);
RansacLine ransac = new RansacLine(5, 1e-10);
Line line = ransac.Estimate(cloud);
Bitmap result = new LineMarker(line).Apply(image);
ImageBox.Show(result);
Assert.Fail();
}
public CornersMarkerProcessor()
{
m_detector = new SusanCornersDetector();
m_filter = new CornersMarker(m_detector, Color.Red);
}
private void initiateButton_Click(object sender, RoutedEventArgs e)
{
// create grayscale filter (BT709)
Grayscale filter = new Grayscale(0.2125, 0.7154, 0.0721);
// apply the filter
img1 = filter.Apply(img1);
img2 = filter.Apply(img2);
Stopwatch st = new Stopwatch();
st.Start();
// collect reference points using corners detector (for example)
SusanCornersDetector scd = new SusanCornersDetector(30, 18);
List<IntPoint> points = scd.ProcessImage(img1);
// create block matching algorithm's instance
ExhaustiveBlockMatching bm = new ExhaustiveBlockMatching(12, 36);
// process images searching for block matchings
List<BlockMatch> matches = bm.ProcessImage(img1, points, img2);
st.Stop();
TimeSpan elapsed = st.Elapsed;
timedisp.Text = "Elapsed time = " + elapsed.ToString();
// draw displacement vectors
BitmapData data = img1.LockBits(
new System.Drawing.Rectangle(0, 0, img1.Width, img1.Height),
ImageLockMode.ReadWrite, img1.PixelFormat);
foreach (BlockMatch match in matches)
{
// highlight the original point in source image
AForge.Imaging.Drawing.FillRectangle(data,
new System.Drawing.Rectangle(match.SourcePoint.X - 1, match.SourcePoint.Y - 1, 3, 3),
System.Drawing.Color.Yellow);
// draw line to the point in search image
AForge.Imaging.Drawing.Line(data, match.SourcePoint, match.MatchPoint, System.Drawing.Color.Red);
// check similarity
if (match.Similarity > 0.98f)
{
// process block with high similarity
}
}
img1.UnlockBits(data);
bi = Compatibility.Compatibility.BitmapToBitmapImage(img1);
image1.Source = bi;
}