private string reconhecerCaptcha(Image img)
{
Bitmap imagem = new Bitmap(img);
imagem = imagem.Clone(new Rectangle(0, 0, img.Width, img.Height), System.Drawing.Imaging.PixelFormat.Format24bppRgb);
Erosion erosion = new Erosion();
Dilatation dilatation = new Dilatation();
Invert inverter = new Invert();
ColorFiltering cor = new ColorFiltering();
cor.Blue = new AForge.IntRange(200, 255);
cor.Red = new AForge.IntRange(200, 255);
cor.Green = new AForge.IntRange(200, 255);
Opening open = new Opening();
BlobsFiltering bc = new BlobsFiltering();
Closing close = new Closing();
GaussianSharpen gs = new GaussianSharpen();
ContrastCorrection cc = new ContrastCorrection();
bc.MinHeight = 10;
GrayscaleRMY gray = new GrayscaleRMY();
Threshold thr = new Threshold(200);
Difference diff = new Difference(dilatation.Apply(imagem));
FiltersSequence seq = new FiltersSequence(diff, inverter, erosion, gray, thr, cc);
pictureBox.Image = seq.Apply(imagem);
string reconhecido = OCR((Bitmap)pictureBox.Image);
return(reconhecido);
}
public Bitmap ToGrayscaleRMY(Bitmap Im)
{
AForge.Imaging.Filters.GrayscaleRMY Img = new GrayscaleRMY();
Bitmap bmImage = AForge.Imaging.Image.Clone(new Bitmap(Im), PixelFormat.Format24bppRgb);
return(Img.Apply(bmImage));
}
public static byte[] ApplyFilter(byte[] imageBytes, ImageProcessingFilters filter, ImageFormat format = null)
{
IFilter baseFilter = null;
switch (filter)
{
case ImageProcessingFilters.Default:
return(imageBytes);
case ImageProcessingFilters.GrayscaleBT709:
baseFilter = new GrayscaleBT709();
break;
case ImageProcessingFilters.GrayscaleRMY:
baseFilter = new GrayscaleRMY();
break;
case ImageProcessingFilters.GrayscaleY:
baseFilter = new GrayscaleY();
break;
case ImageProcessingFilters.BayerFilter:
baseFilter = new FiltersSequence();
((FiltersSequence)baseFilter).Add(new ExtractChannel(RGB.B));
((FiltersSequence)baseFilter).Add(new BayerFilter());
break;
/*
* case ImageProcessingFilters.ImageWarp:
* baseFilter = new ImageWarp(
* break;
* */
case ImageProcessingFilters.Channel_Red:
baseFilter = new ExtractChannel(RGB.R);
break;
case ImageProcessingFilters.Channel_Green:
baseFilter = new ExtractChannel(RGB.G);
break;
case ImageProcessingFilters.Channel_Blue:
baseFilter = new ExtractChannel(RGB.B);
break;
case ImageProcessingFilters.WaterWave:
baseFilter = new WaterWave();
((WaterWave)baseFilter).HorizontalWavesCount = 10;
((WaterWave)baseFilter).HorizontalWavesAmplitude = 5;
((WaterWave)baseFilter).VerticalWavesCount = 3;
((WaterWave)baseFilter).VerticalWavesAmplitude = 15;
break;
case ImageProcessingFilters.Sepia:
baseFilter = new Sepia();
break;
case ImageProcessingFilters.BrightnessCorrection:
baseFilter = new BrightnessCorrection(-50);
break;
case ImageProcessingFilters.ContrastCorrection:
baseFilter = new ContrastCorrection(15);
break;
case ImageProcessingFilters.SaturationCorrection1:
baseFilter = new SaturationCorrection(-0.5f);
break;
case ImageProcessingFilters.SaturationCorrection2:
baseFilter = new SaturationCorrection(-.25f);
break;
case ImageProcessingFilters.SaturationCorrection3:
baseFilter = new SaturationCorrection(+0.5f);
break;
case ImageProcessingFilters.Invert:
baseFilter = new Invert();
break;
case ImageProcessingFilters.Blur:
baseFilter = new Blur();
break;
case ImageProcessingFilters.RotateChannels:
baseFilter = new RotateChannels();
break;
case ImageProcessingFilters.RotateChannels2:
baseFilter = new FiltersSequence();
((FiltersSequence)baseFilter).Add(new RotateChannels());
((FiltersSequence)baseFilter).Add(new RotateChannels());
break;
case ImageProcessingFilters.AdditiveNoise:
IRandomNumberGenerator generator = new UniformGenerator(new Range(-50, 50));
baseFilter = new AdditiveNoise(generator);
break;
case ImageProcessingFilters.GammaCorrection:
baseFilter = new GammaCorrection(0.5);
break;
case ImageProcessingFilters.HistogramEqualization:
baseFilter = new HistogramEqualization();
break;
case ImageProcessingFilters.OrderedDithering:
byte[,] matrix = new byte[4, 4]
{
{ 95, 233, 127, 255 },
{ 159, 31, 191, 63 },
{ 111, 239, 79, 207 },
{ 175, 47, 143, 15 }
};
baseFilter = new FiltersSequence();
((FiltersSequence)baseFilter).Add(new GrayscaleBT709());
((FiltersSequence)baseFilter).Add(new OrderedDithering(matrix));
break;
case ImageProcessingFilters.Pixallete:
baseFilter = new Pixellate();
break;
case ImageProcessingFilters.SimplePosterization:
baseFilter = new SimplePosterization();
break;
case ImageProcessingFilters.Texturer_Textile:
baseFilter = new Texturer(new AForge.Imaging.Textures.TextileTexture(), 0.3, 0.7);
break;
case ImageProcessingFilters.Texturer_Cloud:
baseFilter = new Texturer(new AForge.Imaging.Textures.CloudsTexture(), 0.3, 0.7);
break;
case ImageProcessingFilters.Texturer_Marble:
baseFilter = new Texturer(new AForge.Imaging.Textures.MarbleTexture(), 0.3, 0.7);
break;
case ImageProcessingFilters.Texturer_Wood:
baseFilter = new Texturer(new AForge.Imaging.Textures.WoodTexture(), 0.3, 0.7);
break;
case ImageProcessingFilters.Texturer_Labyrinth:
baseFilter = new Texturer(new AForge.Imaging.Textures.LabyrinthTexture(), 0.3, 0.7);
break;
case ImageProcessingFilters.SobelEdgeDetector:
baseFilter = new FiltersSequence();
((FiltersSequence)baseFilter).Add(new ExtractChannel(RGB.R));
((FiltersSequence)baseFilter).Add(new SobelEdgeDetector());
break;
case ImageProcessingFilters.SobelEdgeDetectorInvert:
baseFilter = new FiltersSequence();
((FiltersSequence)baseFilter).Add(new ExtractChannel(RGB.R));
((FiltersSequence)baseFilter).Add(new SobelEdgeDetector());
((FiltersSequence)baseFilter).Add(new Invert());
break;
case ImageProcessingFilters.SobelEdgeDetectorSepia:
baseFilter = new FiltersSequence();
((FiltersSequence)baseFilter).Add(new ExtractChannel(RGB.R));
((FiltersSequence)baseFilter).Add(new SobelEdgeDetector());
((FiltersSequence)baseFilter).Add(new GrayscaleToRGB());
((FiltersSequence)baseFilter).Add(new Sepia());
break;
case ImageProcessingFilters.SobelEdgeDetectorSepiaCanvas:
baseFilter = new FiltersSequence();
((FiltersSequence)baseFilter).Add(new ExtractChannel(RGB.R));
((FiltersSequence)baseFilter).Add(new SobelEdgeDetector());
((FiltersSequence)baseFilter).Add(new GrayscaleToRGB());
((FiltersSequence)baseFilter).Add(new Sepia());
((FiltersSequence)baseFilter).Add(new SimplePosterization());
((FiltersSequence)baseFilter).Add(new Texturer(new AForge.Imaging.Textures.TextileTexture(), 0.3, 0.7));
break;
case ImageProcessingFilters.Drawing:
baseFilter = new FiltersSequence();
((FiltersSequence)baseFilter).Add(new GrayscaleBT709());
((FiltersSequence)baseFilter).Add(new SobelEdgeDetector());
((FiltersSequence)baseFilter).Add(new Invert());
((FiltersSequence)baseFilter).Add(new SimplePosterization());
break;
case ImageProcessingFilters.DrawingSepia:
baseFilter = new FiltersSequence();
((FiltersSequence)baseFilter).Add(new GrayscaleBT709());
((FiltersSequence)baseFilter).Add(new SobelEdgeDetector());
((FiltersSequence)baseFilter).Add(new Invert());
((FiltersSequence)baseFilter).Add(new SimplePosterization());
((FiltersSequence)baseFilter).Add(new GrayscaleToRGB());
((FiltersSequence)baseFilter).Add(new Sepia());
break;
case ImageProcessingFilters.OilCanvas:
baseFilter = new FiltersSequence();
((FiltersSequence)baseFilter).Add(new SimplePosterization());
((FiltersSequence)baseFilter).Add(new Texturer(new AForge.Imaging.Textures.TextileTexture(), 0.3, 0.7));
break;
case ImageProcessingFilters.OilCanvasGray:
baseFilter = new FiltersSequence();
((FiltersSequence)baseFilter).Add(new SimplePosterization());
((FiltersSequence)baseFilter).Add(new Texturer(new AForge.Imaging.Textures.TextileTexture(), 0.3, 0.7));
((FiltersSequence)baseFilter).Add(new GrayscaleBT709());
break;
case ImageProcessingFilters.OilCanvasSepia:
baseFilter = new FiltersSequence();
((FiltersSequence)baseFilter).Add(new SimplePosterization());
((FiltersSequence)baseFilter).Add(new Texturer(new AForge.Imaging.Textures.TextileTexture(), 0.3, 0.7));
((FiltersSequence)baseFilter).Add(new Sepia());
break;
}
if (baseFilter == null)
{
return(null);
}
return(ApplyFilter(imageBytes, baseFilter, format));
}
private void grayScaleRMYToolStripMenuItem_Click(object sender, EventArgs e)
{
GrayscaleRMY rmyobject = new GrayscaleRMY();
pictureBox2.Image = rmyobject.Apply((Bitmap)pictureBox1.Image);
}
/// <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)
{
IGH_Goo goo = null;
Image image = new Image();
if (!DA.GetData(0, ref goo))
{
return;
}
if (!goo.TryGetImage(ref image))
{
return;
}
int mode = 0;
DA.GetData(1, ref mode);
double numValA = 1.0;
DA.GetData(2, ref numValA);
double numValB = 1.0;
DA.GetData(3, ref numValB);
double numValC = 1.0;
DA.GetData(3, ref numValC);
Filter filter = new Filter();
int[] indices = new int[] { 2, 3, 4 };
switch ((FilterModes)mode)
{
case FilterModes.BT709:
ClearParameter(indices);
filter = new GrayscaleBT709();
image.Filters.Add(new GrayscaleBT709());
break;
case FilterModes.RMY:
ClearParameter(indices);
filter = new GrayscaleRMY();
image.Filters.Add(new GrayscaleRMY());
break;
case FilterModes.Y:
ClearParameter(indices);
filter = new GrayscaleY();
image.Filters.Add(new GrayscaleY());
break;
case FilterModes.Simple:
SetParameter(2, "R", "Red", "The Red coefficient");
SetParameter(3, "G", "Green", "The Green coefficient");
SetParameter(4, "B", "Blue", "The Blue coefficient");
filter = new Simple(numValA, numValB, numValC);
image.Filters.Add(new Simple(numValA, numValB, numValC));
break;
}
message = ((FilterModes)mode).ToString();
UpdateMessage();
DA.SetData(0, image);
DA.SetData(1, filter);
}
