private void button4_Click(object sender, EventArgs e)
{
Bitmap b = new Bitmap(pictureBox2.Image);
b = new Sharpen().Apply(b);
this.pictureBox2.Image = b;
}
protected void surfRansacBlendStraight(List <Bitmap> imgs)
{
MatrixH homography;
List <SpeededUpRobustFeaturePoint[]> surfPoints = new List <SpeededUpRobustFeaturePoint[]>();
//Calculate all the Surf Points
SpeededUpRobustFeaturesDetector surf = new SpeededUpRobustFeaturesDetector();
double lastAngle = 0;
for (int i = 0; i < imgs.Count; i++)
{
//Grayscale to find the edges and adjust the normal to point up
AForge.Imaging.Filters.GrayscaleBT709 grayscale = new AForge.Imaging.Filters.GrayscaleBT709();
AForge.Imaging.DocumentSkewChecker skew = new AForge.Imaging.DocumentSkewChecker();
double angle = skew.GetSkewAngle(grayscale.Apply(imgs[i]));
//Less than 5 deg change in angle to account for wobble, ignore big shifts
if (Math.Abs(angle - lastAngle) < 5)
{
AForge.Imaging.Filters.RotateBilinear rotate = new AForge.Imaging.Filters.RotateBilinear(angle);
rotate.FillColor = Color.FromArgb(0, 255, 255, 255);
imgs[i] = rotate.Apply(imgs[i]);
lastAngle = angle;
}
showImage(imgs[i]);
surfPoints.Add(surf.ProcessImage(imgs[i]).ToArray());
}
Bitmap final = imgs[0];
for (int i = 1; i < imgs.Count; i++)
{
SpeededUpRobustFeaturePoint[] surfFinal = surf.ProcessImage(final).ToArray();
//Correlate the Harris pts between imgs
KNearestNeighborMatching matcher = new KNearestNeighborMatching(5);
matcher.Threshold = 0.05;
IntPoint[][] matches = matcher.Match(surfFinal, surfPoints[i]);
//Create the homography matrix using RANSAC
RansacHomographyEstimator ransac = new RansacHomographyEstimator(0.015, 1);
homography = ransac.Estimate(matches[0], matches[1]);
Blend blend = new Blend(homography, final);
blend.Gradient = true;
final = blend.Apply(imgs[i]);
}
//Smooth/Sharpen if I wanted to
AForge.Imaging.Filters.Sharpen filter = new AForge.Imaging.Filters.Sharpen();
//AForge.Imaging.Filters.Gaussian filter = new AForge.Imaging.Filters.Guassian(5);
//filter.ApplyInPlace(final);
showImage(final);
}
private void button3_Click(object sender, EventArgs e)
{
System.Drawing.Bitmap image = new Bitmap(picSource.BackgroundImage);
// create filter
AForge.Imaging.Filters.Sharpen filter = new AForge.Imaging.Filters.Sharpen();
// apply filter
System.Drawing.Bitmap newImage = filter.Apply(image);
picOutput.BackgroundImage = newImage;
}
public static Bitmap DoIt(Bitmap bmp)
{
GaussianBlur blur = new GaussianBlur(10, 50);
Bitmap blurred = blur.Apply(bmp);
Bitmap ret = new Bitmap(blurred.Width, blurred.Height, blurred.PixelFormat);
for (int y = 0; y < blurred.Height; y++)
{
for (int x = 0; x < blurred.Width; x++)
{
Color blurredColor = blurred.GetPixel(x, y);
Color orinalColor = bmp.GetPixel(x, y);
Color newColor = Color.FromArgb((blurredColor.R + orinalColor.R * 2) / 3,
(blurredColor.G + orinalColor.G * 2) / 3,
(blurredColor.B + orinalColor.B * 2) / 3);
ret.SetPixel(x, y, newColor);
}
}
GammaCorrection gc = new GammaCorrection(.8);
gc.ApplyInPlace(ret);
Sharpen sharpen = new Sharpen();
sharpen.ApplyInPlace(ret);
Grayscale filter = new Grayscale(0.2125, 0.7154, 0.0721);
Bitmap gray = filter.Apply(ret);
CannyEdgeDetector canny = new CannyEdgeDetector();
gray = canny.Apply(gray);
for (int y = 0; y < gray.Height; y++)
{
for (int x=0;x < gray.Width; x++)
{
if(gray.GetPixel(x,y).R > 0)
{
Color retColor = ret.GetPixel(x, y);
Color newColor = Color.FromArgb(
(int)(retColor.R * .7),
(int)(retColor.G * .7),
(int)(retColor.B * .7));
ret.SetPixel(x, y, newColor);
}
}
}
return ret;
}
public Processor()
{
initGlyphs();
// resizeFilter = new ResizeNearestNeighbor(1920, 1080);
// resizeFilter = new ResizeBicubic(1920, 1080);
resizeFilter = new ResizeBilinear(1920, 1080);
gaussianFilter = new GaussianSharpen(4, 11);
sharpenFilter = new Sharpen();
brightnessFilter = new ContrastCorrection(15);
autoEvent = new AutoResetEvent(false);
Thread thread = new Thread(process);
thread.Start();
}
protected void surfRansacBlend(List <Bitmap> imgs)
{
MatrixH homography;
List <SpeededUpRobustFeaturePoint[]> surfPoints = new List <SpeededUpRobustFeaturePoint[]>();
//Calculate all the Surf Points
SpeededUpRobustFeaturesDetector surf = new SpeededUpRobustFeaturesDetector();
for (int i = 0; i < imgs.Count; i++)
{
surfPoints.Add(surf.ProcessImage(imgs[i]).ToArray());
}
Bitmap final = imgs[0];
for (int i = 1; i < imgs.Count; i++)
{
SpeededUpRobustFeaturePoint[] surfFinal = surf.ProcessImage(final).ToArray();
//Correlate the Harris pts between imgs
KNearestNeighborMatching matcher = new KNearestNeighborMatching(5);
matcher.Threshold = 0.05;
IntPoint[][] matches = matcher.Match(surfFinal, surfPoints[i]);
RansacHomographyEstimator ransac = new RansacHomographyEstimator(0.015, 1);
homography = ransac.Estimate(matches[0], matches[1]);
Blend blend = new Blend(homography, final);
blend.Gradient = true;
final = blend.Apply(imgs[i]);
}
//Smooth/Sharpen if I wanted to
AForge.Imaging.Filters.Sharpen filter = new AForge.Imaging.Filters.Sharpen();
//AForge.Imaging.Filters.Gaussian filter = new AForge.Imaging.Filters.Guassian(5);
//filter.ApplyInPlace(final);
showImage(final);
}
protected void freakRansacBlend(List <Bitmap> imgs)
{
MatrixH homography;
List <FastRetinaKeypoint[]> freakPoints = new List <FastRetinaKeypoint[]>();
//Calculate all the FREAK Points
FastRetinaKeypointDetector freak = new FastRetinaKeypointDetector();
foreach (Bitmap img in imgs)
{
freakPoints.Add(freak.ProcessImage(img).ToArray());
}
//Map them and draw them!
Bitmap final = imgs[0];
for (int i = 1; i < imgs.Count; i++)
{
FastRetinaKeypoint[] freakFinal = freak.ProcessImage(final).ToArray();
KNearestNeighborMatching matcher = new KNearestNeighborMatching(500);
matcher.Threshold = 0.005;
IntPoint[][] matches = matcher.Match(freakFinal, freakPoints[i]);
RansacHomographyEstimator ransac = new RansacHomographyEstimator(0.015, 1);
homography = ransac.Estimate(matches[0], matches[1]);
Blend blend = new Blend(homography, final);
blend.Gradient = true;
final = blend.Apply(imgs[i]);
}
//Smooth/Sharpen if I wanted to
AForge.Imaging.Filters.Sharpen filter = new AForge.Imaging.Filters.Sharpen();
//AForge.Imaging.Filters.Gaussian filter = new AForge.Imaging.Filters.Guassian(5);
//filter.ApplyInPlace(final);
showImage(final);
}
public static Bitmap Sharpen(Bitmap bmp)
{
Sharpen filter = new Sharpen();
filter.ApplyInPlace(bmp);
return bmp;
}
private Bitmap imgCut(Bitmap cutthis)
{
Bitmap b = new Bitmap(15, 20, PixelFormat.Format24bppRgb);
Graphics g = Graphics.FromImage(b);
g.Clear(Color.White);
g.DrawImage(cutthis, 0, 0);
b = new Grayscale(0.299, 0.587, 0.114).Apply(b);
b = new Sharpen().Apply(b);
b = new Sharpen().Apply(b);
b = new Threshold(50).Apply(b);
return b;
}
