private void preparationImage()
{
//decimal newSizeX = numXAfter.Value / numSizePoint.Value;
//decimal newSizeY = numYAfter.Value / numSizePoint.Value;
//if (newSizeX < 1 || newSizeY < 1)
//{
// MessageBox.Show(@"Не указан желаемый размер, вычисление невозможно!");
// return;
//}
pageImageNOW = (Bitmap)pageImageIN.Clone();
pageVectorNOW = new List <GroupPoint>();
Bitmap newBitmap = ImageProcessing.ConvertToGrayScale(pageImageNOW);
int Xsize = (int)(numXAfter.Value / numSizePoint.Value);
int Ysize = (int)(numYAfter.Value / numSizePoint.Value);
newBitmap = ImageProcessing.ResizeImage(newBitmap, Xsize, Ysize);
if (useFilter.Text.StartsWith("01")) //FloydSteinbergDithering"
{
newBitmap = ImageProcessing.ConvertTo8Bit(newBitmap);
FloydSteinbergDithering filter = new FloydSteinbergDithering();
filter.ApplyInPlace(newBitmap);
}
if (useFilter.Text.StartsWith("02")) //@"BayerDithering"
{
newBitmap = ImageProcessing.ConvertTo8Bit(newBitmap);
BayerDithering filter = new BayerDithering();
filter.ApplyInPlace(newBitmap);
}
if (useFilter.Text.StartsWith("03")) //@"получение оттенков серого"
{
//получим новое перемасштабированное изображение
//тут с изображением уже ничего не делаем
}
pageImageNOW = newBitmap;
}
public static Bitmap ApplyFiliter(ImageFiliter imgFilter, Bitmap bmp, byte Value, byte Value2)
{
Bitmap newImage = null;
//ContrastCorrection filter2 = new ContrastCorrection(1.0);
//newImage = filter2.Apply(bmp);
if (imgFilter != ImageFiliter.None)
{
IFilter filter3 = Grayscale.CommonAlgorithms.Y;
newImage = filter3.Apply(bmp);
if (imgFilter == ImageFiliter.Threshold)
{
IFilter filter = null;
if (Value == 0)
{
filter = new Threshold();
}
else
{
filter = new Threshold(Value);
}
newImage = filter.Apply(newImage);
//IterativeThreshold filter = new IterativeThreshold(Value2, Value);
//// apply the filter
// newImage = filter.Apply(newImage);
}
if (imgFilter == ImageFiliter.ThresholdWithCarry)
{
IFilter filter = new ThresholdWithCarry();
newImage = filter.Apply(newImage);
}
else if (imgFilter == ImageFiliter.OrderedDithering)
{
IFilter filter = new OrderedDithering();
newImage = filter.Apply(newImage);
}
else if (imgFilter == ImageFiliter.BayerDithering)
{
IFilter filter = new BayerDithering();
newImage = filter.Apply(newImage);
}
else if (imgFilter == ImageFiliter.FloydSteinbergDithering)
{
IFilter filter = new FloydSteinbergDithering();
newImage = filter.Apply(newImage);
}
else if (imgFilter == ImageFiliter.BurkesDithering)
{
IFilter filter = new BurkesDithering();
newImage = filter.Apply(newImage);
}
else if (imgFilter == ImageFiliter.JarvisJudiceNinkeDithering)
{
IFilter filter = new JarvisJudiceNinkeDithering();
newImage = filter.Apply(newImage);
}
else if (imgFilter == ImageFiliter.SierraDithering)
{
IFilter filter = new SierraDithering();
newImage = filter.Apply(newImage);
}
else if (imgFilter == ImageFiliter.StuckiDithering)
{
IFilter filter = new StuckiDithering();
newImage = filter.Apply(newImage);
}
else if (imgFilter == ImageFiliter.Convolution)
{
// create filter
//OtsuThreshold filter = new OtsuThreshold();
//// apply the filter
//filter.ApplyInPlace(newImage);
//// create filter
//IterativeThreshold filter = new IterativeThreshold(0);
//// apply the filter
//newImage = filter.Apply(newImage);
int[,] kernel =
{
{ -2, -1, 0 },
{ -1, 1, 1 },
{ 0, 1, 2 }
};
// create filter
Convolution filter = new Convolution(kernel);
// apply the filter
filter.ApplyInPlace(newImage);
}
newImage = BitmapTo1Bpp(newImage);
}
else
{
newImage = BitmapTo1Bpp(bmp);
}
//轉換成 1bit bps
return(newImage);
}
private void video_NewFrame1(object sender, NewFrameEventArgs eventArgs)
{
videoCapture.Stop();
pictureBox1.SizeMode = PictureBoxSizeMode.CenterImage;
pictureBox2.SizeMode = PictureBoxSizeMode.CenterImage;
pictureBox1.Image = (Bitmap)eventArgs.Frame.Clone();
//pictureBox2.Image = (Bitmap)eventArgs.Frame.Clone();
image = (Bitmap)eventArgs.Frame.Clone();
byte[,] matrix = new byte[4, 4]
{
{ 95, 233, 127, 255 },
{ 159, 31, 191, 63 },
{ 111, 239, 79, 207 },
{ 175, 47, 143, 15 }
};
switch (choice)
{
case 0:
{
}
break;
//Threshold
case 1:
{
Grayscale g = new Grayscale(0.2125, 0.7154, 0.0721);
image = g.Apply(image);
Threshold filter = new Threshold(100);
applyfilter(filter);
}
break;
//OrderedDithering
case 2:
{
Grayscale g = new Grayscale(0.2125, 0.7154, 0.0721);
image = g.Apply(image);
OrderedDithering filter = new OrderedDithering(matrix);
applyfilter(filter);
}
break;
//BayerDithering
case 3:
{
Grayscale g = new Grayscale(0.2125, 0.7154, 0.0721);
image = g.Apply(image);
BayerDithering filter = new BayerDithering();
applyfilter(filter);
}
break;
//floyd
case 4:
{
Grayscale g = new Grayscale(0.2125, 0.7154, 0.0721);
image = g.Apply(image);
FloydSteinbergDithering filter = new FloydSteinbergDithering();
applyfilter(filter);
}
break;
//burkes
case 5:
{
Grayscale g = new Grayscale(0.2125, 0.7154, 0.0721);
image = g.Apply(image);
BurkesDithering filter = new BurkesDithering();
applyfilter(filter);
}
break;
//jarvis
case 6:
{
Grayscale g = new Grayscale(0.2125, 0.7154, 0.0721);
image = g.Apply(image);
JarvisJudiceNinkeDithering filter = new JarvisJudiceNinkeDithering();
applyfilter(filter);
}
break;
//sierra
case 7:
{
Grayscale g = new Grayscale(0.2125, 0.7154, 0.0721);
image = g.Apply(image);
SierraDithering filter = new SierraDithering();
applyfilter(filter);
}
break;
//stucki
case 8:
{
Grayscale g = new Grayscale(0.2125, 0.7154, 0.0721);
image = g.Apply(image);
StuckiDithering filter = new StuckiDithering();
applyfilter(filter);
}
break;
//Homogenity
case 9:
{
Grayscale g = new Grayscale(0.2125, 0.7154, 0.0721);
image = g.Apply(image);
HomogenityEdgeDetector filter = new HomogenityEdgeDetector();
applyfilter(filter);
}
break;
//rotate
case 10:
{
applyfilter(new RotateChannels());
} break;
//sobel
case 11:
{
Grayscale g = new Grayscale(0.2125, 0.7154, 0.0721);
image = g.Apply(image);
SobelEdgeDetector filter = new SobelEdgeDetector();
applyfilter(filter);
}
break;
//canny
case 12:
{
Grayscale g = new Grayscale(0.2125, 0.7154, 0.0721);
image = g.Apply(image);
CannyEdgeDetector filter = new CannyEdgeDetector();
applyfilter(filter);
}
break;
case 13:
{
applyfilter(new YCbCrFiltering());
} break;
case 14:
{
applyfilter(new HueModifier(180));
} break;
//SIS Threshold
case 15:
{
Grayscale g = new Grayscale(0.2125, 0.7154, 0.0721);
image = g.Apply(image);
SISThreshold filter = new SISThreshold();
applyfilter(filter);
} break;
//Difference
case 16:
{
Grayscale g = new Grayscale(0.2125, 0.7154, 0.0721);
image = g.Apply(image);
DifferenceEdgeDetector filter = new DifferenceEdgeDetector();
applyfilter(filter);
} break;
//mirror
case 17:
{
applyfilter(new Mirror(false, true));
} break;
//flip
case 18:
{
applyfilter(new RotateBilinear(180, true));
} break;
//Erosion
case 19:
{
applyfilter1(new Erosion());
} break;
//Dilatation
case 20:
{
applyfilter1(new Dilatation());
} break;
//Opening
case 21:
{
applyfilter1(new Opening());
} break;
//closing
case 22:
{
applyfilter1(new Closing());
} break;
//jitter
case 23:
{
applyfilter(new Jitter(15));
} break;
//OilPainting
case 24:
{
applyfilter(new OilPainting(10));
} break;
//pixellate
case 25:
{
applyfilter(new Pixellate(10));
} break;
}
}
public mDitherBayer()
{
BitmapType = BitmapTypes.GrayscaleBT709;
filter = new BayerDithering();
}