public override bool Do()
{
try
{
var bReqFullUpdate = !m_isSelfClearOut || (histogramsResults.Count == 0);
if (bReqFullUpdate)
{
histogramsResults.Clear();
}
IMovingPredict movingPredict = null;
MovingPredictType movingType = (MovingPredictType)EnumPropertys["MovingType"].Value;
switch (movingType)
{
case MovingPredictType.MovingAverage:
movingPredict = new MovingAverage(IntPropertys["MovingRange"].Value);
break;
case MovingPredictType.MovingMediana:
movingPredict = new MovingMediana(IntPropertys["MovingRange"].Value);
break;
default:
movingPredict = new MovingAverage(IntPropertys["MovingRange"].Value);
break;
}
int listID = 0;
for (int srcID = 0; srcID < Sources.Count; srcID++)
{
var outDatas = Sources[srcID].GetOut();
for (int dataID = 0; dataID < outDatas.Count; dataID++)
{
if (bReqFullUpdate)
{
histogramsResults.Add(RGBHistogram.GetHistograms(outDatas[dataID].Image));
}
Mat copy = outDatas[dataID].Image.Clone();
RGBHistogram.DrawChannel(copy, IntPropertys["x_show"].Value, IntPropertys["y_show"].Value,
FloatPropertys["scaleX"].Value, FloatPropertys["scaleY"].Value, movingPredict,
histogramsResults[listID], 0, new Bgr(0, 0, 255).MCvScalar, new Bgr(50, 0, 255).MCvScalar, false);
RGBHistogram.DrawChannel(copy, IntPropertys["x_show"].Value, IntPropertys["y_show"].Value,
FloatPropertys["scaleX"].Value, FloatPropertys["scaleY"].Value, movingPredict,
histogramsResults[listID], 1, new Bgr(255, 0, 0).MCvScalar, new Bgr(255, 0, 50).MCvScalar, false);
RGBHistogram.DrawChannel(copy, IntPropertys["x_show"].Value, IntPropertys["y_show"].Value,
FloatPropertys["scaleX"].Value, FloatPropertys["scaleY"].Value, movingPredict,
histogramsResults[listID], 2, new Bgr(0, 255, 0).MCvScalar, new Bgr(50, 255, 50).MCvScalar, false);
listID++;
this.m_out.Add(new DataSrc(copy, outDatas[dataID].Info, false));
}
}
}
catch (Exception ex) {
return(false);
}
return(true);
}
public static Bitmap Equalize(this Bitmap OriginalImage, string FileName = "")
{
OriginalImage.ThrowIfNull("OriginalImage");
ImageFormat FormatUsing = FileName.GetImageFormat();
Bitmap NewBitmap = new Bitmap(OriginalImage.Width, OriginalImage.Height);
RGBHistogram TempHistogram = new RGBHistogram(OriginalImage);
TempHistogram.Equalize();
BitmapData NewData = NewBitmap.LockImage();
BitmapData OldData = OriginalImage.LockImage();
int NewPixelSize = NewData.GetPixelSize();
int OldPixelSize = OldData.GetPixelSize();
int Width = NewBitmap.Width;
int Height = NewBitmap.Height;
Parallel.For(0, Width, x =>
{
for (int y = 0; y < Height; ++y)
{
Color Current = OldData.GetPixel(x, y, OldPixelSize);
int NewR = (int)TempHistogram.R[Current.R];
int NewG = (int)TempHistogram.G[Current.G];
int NewB = (int)TempHistogram.B[Current.B];
NewR = NewR.Clamp(255, 0);
NewG = NewG.Clamp(255, 0);
NewB = NewB.Clamp(255, 0);
NewData.SetPixel(x, y, Color.FromArgb(NewR, NewG, NewB), NewPixelSize);
}
});
NewBitmap.UnlockImage(NewData);
OriginalImage.UnlockImage(OldData);
if (!string.IsNullOrEmpty(FileName))
NewBitmap.Save(FileName, FormatUsing);
return NewBitmap;
}