public Bitmap YCbCrLinearFilter(Bitmap img)
{
YCbCrLinear filter = new YCbCrLinear();
filter.InCb = new AForge.Range(-0.276f, 0.163f);
filter.InCr = new AForge.Range(-0.202f, 0.500f);
return(filter.Apply(img));
}
public static Bitmap ApplyYCbCrLinearFilter(Bitmap sourceImage)
{
var filter = new YCbCrLinear {
InCb = new Range(-0.3f, 0.3f)
};
return(ApplyFilterBitmap(filter, sourceImage));
}
// On Filters->YCbCr filtering
private void yCbCrLinearFiltersItem_Click(object sender, System.EventArgs e)
{
YCbCrLinear filter = new YCbCrLinear( );
filter.InCb = new Range(-0.3f, 0.3f);
ApplyFilter(filter);
yCbCrLinearFiltersItem.Checked = true;
}
private void yCbCrLinearCorrectionToolStripMenuItem_Click(object sender, EventArgs e)
{
UncheckAllMenuItems();
YCbCrLinear filter = new YCbCrLinear();
filter.InCb = new Range(-0.3f, 0.3f);
ApplyFilter(filter);
yCbCrLinearCorrectionToolStripMenuItem.Checked = true;
}
// On Filters->YCbCr filtering
/// <summary>
/// 该滤波器工作在YCbCr颜色空间中，
/// 并且提供对其通道的线性校正设施——将指定通道的输入范围映射到指定输出范围。
/// 能够改变图像的色彩
/// </summary>
/// <param name="sender"></param>
/// <param name="e"></param>
private void yCbCrLinearFiltersItem_Click(object sender, System.EventArgs e)
{
YCbCrLinear filter = new YCbCrLinear();
//InCb:[-0.5~0.5]
//InCr:[-0.5~0.5]
//InY:[0~1]
filter.InCb = new Range(-0.276f, 0.163f);
filter.InCr = new Range(-0.202f, 0.500f);
ApplyFilter(filter);
yCbCrLinearFiltersItem.Checked = true;
}
public mFilterYCbCrLinear(wDomain YinRange, wDomain CBinRange, wDomain CRinRange, wDomain YoutRange, wDomain CBoutRange, wDomain CRoutRange)
{
Yin = YinRange;
Yout = YoutRange;
Cbin = CBinRange;
Cbout = CBoutRange;
Crin = CRinRange;
Crout = CRoutRange;
BitmapType = mFilter.BitmapTypes.None;
Effect = new YCbCrLinear();
Effect.InY = new Range((float)Yin.T0, (float)Yin.T1);
Effect.InCb = new Range((float)Cbin.T0, (float)Cbin.T1);
Effect.InCr = new Range((float)Crin.T0, (float)Crin.T1);
Effect.OutY = new Range((float)Yout.T0, (float)Yout.T1);
Effect.OutCb = new Range((float)Cbout.T0, (float)Cbout.T1);
Effect.OutCr = new Range((float)Crout.T0, (float)Crout.T1);
filter = Effect;
}
private Bitmap AddFilter(Bitmap bitmap)
{
switch (filterNumber)
{
case Filters.BrightnessCorrection:
return(ApplyFilter(bitmap, new BrightnessCorrection()));
case Filters.ColorFiltering:
return(ApplyFilter(bitmap, new ColorFiltering(new IntRange(25, 230), new IntRange(25, 230), new IntRange(25, 230))));
case Filters.ContrastCorrection:
return(ApplyFilter(bitmap, new ContrastCorrection()));
case Filters.DifferenceEdgeDetector:
bitmap = Grayscale.CommonAlgorithms.RMY.Apply(bitmap);
return(ApplyFilter(bitmap, new DifferenceEdgeDetector()));
case Filters.FloydSteinbergDithering:
bitmap = Grayscale.CommonAlgorithms.RMY.Apply(bitmap);
return(ApplyFilter(bitmap, new FloydSteinbergDithering()));
case Filters.Grayscale:
return(ApplyFilter(bitmap, Grayscale.CommonAlgorithms.BT709));
case Filters.HomogenityEdgeDetector:
bitmap = Grayscale.CommonAlgorithms.RMY.Apply(bitmap);
return(ApplyFilter(bitmap, new HomogenityEdgeDetector()));
case Filters.HSLFiltering:
return(ApplyFilter(bitmap, new HSLFiltering(new IntRange(330, 30), new Range(0, 1), new Range(0, 1))));
case Filters.HueModifier:
return(ApplyFilter(bitmap, new HueModifier(50)));
case Filters.Jitter:
return(ApplyFilter(bitmap, new Jitter()));
case Filters.LevelsLinear:
LevelsLinear lfilter = new LevelsLinear();
lfilter.InRed = new IntRange(30, 230);
lfilter.InGreen = new IntRange(50, 240);
lfilter.InBlue = new IntRange(10, 210);
return(ApplyFilter(bitmap, lfilter));
case Filters.OrderedDithering:
bitmap = Grayscale.CommonAlgorithms.RMY.Apply(bitmap);
return(ApplyFilter(bitmap, new OrderedDithering()));
case Filters.RotateChannels:
return(ApplyFilter(bitmap, new RotateChannels()));
case Filters.SaturationCorrection:
return(ApplyFilter(bitmap, new SaturationCorrection(0.15f)));
case Filters.Sepia:
return(ApplyFilter(bitmap, new Sepia()));
case Filters.SobelEdgeDetector:
bitmap = Grayscale.CommonAlgorithms.RMY.Apply(bitmap);
return(ApplyFilter(bitmap, new SobelEdgeDetector()));
case Filters.Threshold:
bitmap = Grayscale.CommonAlgorithms.RMY.Apply(bitmap);
return(ApplyFilter(bitmap, new Threshold()));
case Filters.YCbCrFiltering:
return(ApplyFilter(bitmap, new YCbCrFiltering(new Range(0.2f, 0.9f), new Range(-0.3f, 0.3f), new Range(-0.3f, 0.3f))));
case Filters.YCbCrLinear:
YCbCrLinear filter = new YCbCrLinear();
filter.InCb = new Range(-0.3f, 0.3f);
return(ApplyFilter(bitmap, filter));
default:
return(bitmap);
}
}
/// <summary>
/// This is the method that actually does the work.
/// </summary>
/// <param name="DA">The DA object is used to retrieve from inputs and store in outputs.</param>
protected override void SolveInstance(IGH_DataAccess DA)
{
Bitmap img = null;
DA.GetData(0, ref img);
Interval L = new Interval(0, 1);
DA.GetData("Luminance", ref L);
Interval S = new Interval(0, 1);
DA.GetData("Saturation", ref S);
Interval Y = new Interval(0, 255);
DA.GetData("Luma", ref Y);
Interval Cb = new Interval(-1, 1);
DA.GetData("Chroma_Blue", ref Cb);
Interval Cr = new Interval(-1, 1);
DA.GetData("Chroma_Red", ref Cr);
Interval R = new Interval(0, 255);
DA.GetData("Red", ref R);
Interval G = new Interval(0, 255);
DA.GetData("Green", ref G);
Interval B = new Interval(0, 255);
DA.GetData("Blue", ref B);
Bitmap filteredImage = img;
Interval bInterval = new Interval(0, 1);
Interval Interval255 = new Interval(0, 255);
Interval IntervalMinusOne = new Interval(-1, 1);
//////////////////////////////////////////////////////////////////////////
HSLLinear myHSLfilter = new HSLLinear();
if (bInterval.IncludesInterval(L))
{
myHSLfilter.InLuminance = new AForge.Range(Convert.ToSingle(L.Min), Convert.ToSingle(L.Max));
}
if (bInterval.IncludesInterval(S))
{
myHSLfilter.InSaturation = new AForge.Range(Convert.ToSingle(S.Min), Convert.ToSingle(S.Max));
}
filteredImage = myHSLfilter.Apply(img);
//////////////////////////////////////////////////////////////////////////
YCbCrLinear myYCbCrfilter = new YCbCrLinear();
if (Interval255.IncludesInterval(Y))
{
myYCbCrfilter.InCb = new AForge.Range(Convert.ToSingle(Y.Min), Convert.ToSingle(Y.Max));
}
if (IntervalMinusOne.IncludesInterval(Cb))
{
myYCbCrfilter.InCb = new AForge.Range(Convert.ToSingle(Cb.Min), Convert.ToSingle(Cb.Max));
}
if (IntervalMinusOne.IncludesInterval(Cr))
{
myYCbCrfilter.InCr = new AForge.Range(Convert.ToSingle(Cr.Min), Convert.ToSingle(Cr.Max));
}
filteredImage = myYCbCrfilter.Apply(filteredImage);
//////////////////////////////////////////////////////////////////////////
LevelsLinear myRGBfilter = new LevelsLinear();
if (Interval255.IncludesInterval(R))
{
myRGBfilter.InRed = new AForge.IntRange((int)(R.Min), (int)(R.Max));
}
if (Interval255.IncludesInterval(G))
{
myRGBfilter.InGreen = new AForge.IntRange((int)(G.Min), (int)(G.Max));
}
if (Interval255.IncludesInterval(B))
{
myRGBfilter.InBlue = new AForge.IntRange((int)(B.Min), (int)(B.Max));
}
filteredImage = myRGBfilter.Apply(filteredImage);
DA.SetData(0, filteredImage);
}
public YCbCrLinearFilter()
{
yCbCrLinear = new YCbCrLinear();
yCbCrLinear.InCb = new AForge.Range(-0.3f, 0.3f);
}
