public void FindTest()
{
List<IntPoint> contour = new List<IntPoint>();
int max = 100;
for (int i = 0; i < max; i++)
add(contour, i, max);
for (int i = 0; i < max; i++)
add(contour, max, i);
for (int i = 0; i < max; i++)
add(contour, 0, i);
for (int i = 0; i < max / 2; i++)
add(contour, i, i);
for (int i = 0; i < max / 2; i++)
add(contour, i + max / 2, max / 2 - i);
PointsMarker marker = new PointsMarker(contour);
var bitmap = AForge.Imaging.Image.CreateGrayscaleImage(max + 1, max + 1);
bitmap = marker.Apply(bitmap);
// Accord.Controls.ImageBox.Show(bitmap);
GrahamConvexHull graham = new GrahamConvexHull();
List<IntPoint> hull = graham.FindHull(contour);
ConvexHullDefects hullDefects = new ConvexHullDefects(10);
List<ConvexityDefect> defects = hullDefects.FindDefects(contour, hull);
Assert.AreEqual(1, defects.Count);
Assert.AreEqual(99, defects[0].Depth);
}
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);
}
private void btnHarris_Click(object sender, EventArgs e)
{
// Step 1: Detect feature points using Harris Corners Detector
HarrisCornersDetector harris = new HarrisCornersDetector(
HarrisCornerMeasure.Harris, 20000f, 1.4f, 5);
harrisPoints1 = harris.ProcessImage(img1).ToArray();
harrisPoints2 = harris.ProcessImage(img2).ToArray();
// Show the marked points in the original images
Bitmap img1mark = new PointsMarker(harrisPoints1).Apply(img1);
Bitmap img2mark = new PointsMarker(harrisPoints2).Apply(img2);
// Concatenate the two images together in a single image (just to show on screen)
Concatenate concatenate = new Concatenate(img1mark);
pictureBox.Image = concatenate.Apply(img2mark);
}
private void btnFreak_Click(object sender, EventArgs e)
{
// Step 1: Detect feature points using FREAK Features Detector
FastRetinaKeypointDetector freak = new FastRetinaKeypointDetector();
keyPoints1 = freak.ProcessImage(img1).ToArray();
keyPoints2 = freak.ProcessImage(img2).ToArray();
// Show the marked points in the original images
Bitmap img1mark = new PointsMarker(keyPoints1).Apply(img1);
Bitmap img2mark = new PointsMarker(keyPoints2).Apply(img2);
// Concatenate the two images together in a single image (just to show on screen)
Concatenate concatenate = new Concatenate(img1mark);
pictureBox.Image = concatenate.Apply(img2mark);
}
private static void show(Bitmap hand, List<IntPoint> contour, List<IntPoint> peaks, List<IntPoint> supports)
{
PointsMarker cmarker = new PointsMarker(contour, Color.White, 1);
cmarker.ApplyInPlace(hand);
PointsMarker pmarker = new PointsMarker(peaks, Color.Green, 5);
pmarker.ApplyInPlace(hand);
PointsMarker hmarker = new PointsMarker(supports, Color.Yellow, 5);
hmarker.ApplyInPlace(hand);
ImageBox.Show(hand, PictureBoxSizeMode.Zoom);
}
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();
}
