public Bitmap ToDilatation(Bitmap Im)
{
AForge.Imaging.Filters.Dilatation Img = new Dilatation();
Bitmap bmImage = AForge.Imaging.Image.Clone(new Bitmap(Im), PixelFormat.Format24bppRgb);
return(Img.Apply(bmImage));
}
public static Bitmap ApplyFilters(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;
FiltersSequence seq = new FiltersSequence(gs, inverter, open, inverter, bc, inverter, open, cc, cor, bc, inverter);
var filteredImage = seq.Apply(imagem);
return(filteredImage);
}
private void damarBulToolStripMenuItem_Click(object sender, EventArgs e)
{
ApplyFilter(new ExtractChannel(RGB.G));
if (orginalBitmap.PixelFormat != PixelFormat.Format24bppRgb)
{
MessageBox.Show("Contrast filter using HSL color space is available for color images only", "Message", MessageBoxButtons.OK, MessageBoxIcon.Exclamation);
return;
}
ContrastCorrection filter = new ContrastCorrection();
filter.Factor = 15;
ApplyFilter(filter);
GaussianBlur filter2 = new GaussianBlur();
// GaussianSharpen filter = new GaussianSharpen();
filter2.Size = 5;
filter2.Sigma = 0.6;
ApplyFilter(filter2);
resultBitmap = Filtreler.Canny(resultBitmap);
maskBitmap = (Bitmap)imageCollection1Mask.Images[index];// combobox ta seçilmiş image in mask image ini getiriyor
resultBitmap = Filtreler.Maskeleme(resultBitmap, maskBitmap);
Dilatation filter3 = new Dilatation();
ApplyFilter(filter3);
pictureBox1.Image = resultBitmap;
}
private void reapplyToolStripMenuItem1_Click(object sender, EventArgs e)
{
Dilatation filter = new Dilatation();
// apply the filter
pictureBox2.Image = filter.Apply((Bitmap)pictureBox2.Image);
}
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;
FiltersSequence seq = new FiltersSequence(gs, inverter, open, inverter, bc, inverter, open, cc, cor, bc, inverter);
imagem = seq.Apply(imagem);
//imagem.Save(Directory.GetCurrentDirectory() + "\\Captcha2.png", System.Drawing.Imaging.ImageFormat.Png);
string reconhecido = OCR(imagem);
//string reconhecido = ocr.Principal(Directory.GetCurrentDirectory() + "\\Captcha2.png");
return(reconhecido);
}
private string reconhecerCaptcha(Image img)
{
Bitmap _bitmap = new Bitmap(img);
_bitmap = _bitmap.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;
FiltersSequence seq = new FiltersSequence(gs, inverter, open, inverter, bc, inverter, open, cc, cor, bc, inverter);
pictureBox1.Image = seq.Apply(_bitmap);
string recognedString = OCR((Bitmap)pictureBox1.Image);
return(recognedString);
}
public static Task <(Bitmap, string)> DeCaptchAsync(Image img)
{
return((Task <(Bitmap, string)>)Task.Run(() =>
{
string value;
Bitmap bmp = new Bitmap(img);
bmp = bmp.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(50, 255);
//cor.Green = new AForge.IntRange(200, 255);
Opening open = new Opening();
BlobsFiltering bc = new BlobsFiltering()
{
MinHeight = 10
};
Closing close = new Closing();
GaussianSharpen gs = new GaussianSharpen();
ContrastCorrection cc = new ContrastCorrection();
FiltersSequence seq = new FiltersSequence(gs, inverter, open, inverter, bc, inverter, open, cc, cor, bc, inverter, dilatation);
Image image = seq.Apply(bmp);
value = OCR((Bitmap)image);
return ((Bitmap)image, value);
}));
}
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 static Bitmap thin(Bitmap source) // 선 가늘게
{
///////////// ini 객체 생성 시작 /////////////////////////////////////////////////////
//현재 프로그램이 실행되고 있는정보 가져오기: 디버깅 모드라면 bin/debug/프로그램명.exe
FileInfo exefileinfo = new FileInfo(@"C:\Program Files\PLOCR\PLOCR.exe");
string pathini = exefileinfo.Directory.FullName.ToString(); //프로그램 실행되고 있는데 path 가져오기
string fileName = @"\PLOCRconfig.ini"; // 환경설정 파일명
string filePath = pathini + fileName; //ini 파일 경로
DocumentAnalysis.IniUtil ini = new DocumentAnalysis.IniUtil(filePath); // 만들어 놓았던 iniUtil 객체 생성(생성자 인자로 파일경로 정보 넘겨줌)
//////////// ini 객체 생성 끝 /////////////////////////////////////////////////////////
int order = int.Parse(ini.GetIniValue("선굵기값", "가늘게횟수"));
for (int i = 0; i < order; i++)
{
Bitmap tmp = (Bitmap)source; // 중요! 한번 이미지 처리가 끝난 비트맵 source 는 clone 함수로 보내기 전에 다시 한번 (Bitmap) 처리 해줘야함, 이유는 잘 모르겠음
// convert to 24 bits per pixel
source = imageProcess.Clone(tmp, PixelFormat.Format24bppRgb);
// delete old image
tmp.Dispose();
Dilatation filter = new Dilatation();
filter.ApplyInPlace(source);
}
return(source);
}
public Bitmap Dilatation(Bitmap bitmap)
{
var bmp = ReverseBitmapColors(bitmap);
Dilatation filter = new Dilatation();
filter.ApplyInPlace(bmp);
return(ReverseBitmapColors(bmp));
}
public static Bitmap Dilatation(Bitmap Imagem)
{
Dilatation filter = new Dilatation();
Imagem = Imagem.Clone(new Rectangle(0, 0, Imagem.Width, Imagem.Height), System.Drawing.Imaging.PixelFormat.Format24bppRgb);
Imagem = filter.Apply(Imagem);
return(Imagem);
}
public static Bitmap DilatImage(Bitmap bit)
{
Bitmap bmp = bit.Clone(new Rectangle(0, 0, bit.Width, bit.Height), PixelFormat.Format24bppRgb);
Dilatation dila = new Dilatation();
return(dila.Apply(bmp));
}
public static BitmapImage DilatationImage(this BitmapImage bitmapimage)
{
Bitmap bitmap = bitmapimage.BitmapImage2Bitmap();
Dilatation dilatation = new Dilatation();
dilatation.Apply(bitmap);
return(bitmap.ToBitmapImage());
}
/// <summary>
/// Creates a comic rendered copy of the input image.
/// </summary>
public override Bitmap Render(Bitmap sourceImage)
{
GrayscaleToRGB convertColor = new GrayscaleToRGB();
if (sourceImage.PixelFormat == PixelFormat.Format8bppIndexed)
{
sourceImage = convertColor.Apply(sourceImage);
}
BilateralBlur blur = new BilateralBlur(3, 0.1);
Bitmap comic = blur.Apply(sourceImage);
// Edges
Bitmap grayscale = Grayscale.CommonAlgorithms.Y.Apply(comic);
SobelEdgeDetector sobelEdge = new SobelEdgeDetector();
sobelEdge.ScaleIntensity = true;
Bitmap edgeLayer = sobelEdge.Apply(grayscale);
edgeLayer = convertColor.Apply(edgeLayer);
Invert invertEdge = new Invert();
invertEdge.ApplyInPlace(edgeLayer);
HSLLinear edgeLinear = new HSLLinear();
edgeLinear.InLuminance.Min = 0;
edgeLinear.InLuminance.Max = 0.8;
edgeLinear.ApplyInPlace(edgeLayer);
// highlights
Bitmap highlightLayer = invertEdge.Apply(edgeLayer);
Dilatation highlightDilitation = new Dilatation();
highlightDilitation.ApplyInPlace(highlightLayer);
BrightnessCorrection highlightBright = new BrightnessCorrection(-0.35);
highlightBright.ApplyInPlace(highlightLayer);
ColorDodge highlightBlend = new ColorDodge(highlightLayer);
highlightBlend.ApplyInPlace(comic);
// Merge edges with working layer
Multiply multEdge = new Multiply(edgeLayer);
multEdge.ApplyInPlace(comic);
return(comic);
}
void DilasiToolStripMenuItemClick(object sender, EventArgs e)
{
//jika gambar kosong/null maka akan mengembalikan nilai kosong/null
if (gambar == null)
{
return;
}
//membuat filter dari inisiasi class Dilatation() pada objek dilatation
Dilatation dilatation = new Dilatation( );
//clone variable gambar pada variable gambar2
gambar2 = (Bitmap)gambar.Clone();
//aplikasikan filter objek dilatation pada gambar2
dilatation.ApplyInPlace(gambar2);
//tampilkan hasil gambar2 yang sudah diaplikasikan filter pada pictureBox2
pictureBox2.Image = gambar2;
}
public static Bitmap Limpar(Image img)
{
Bitmap imagem = new Bitmap(img);
Bitmap newBitmap = new Bitmap(imagem.Width, imagem.Height);
Graphics g = Graphics.FromImage(newBitmap);
g.FillRectangle(Brushes.White, 0, 0, imagem.Width, imagem.Height);
ColorMatrix colorMatrix = new ColorMatrix(
new float[][]
{
new float[] { .3f, .3f, .3f, 0, 0 },
new float[] { .59f, .59f, .59f, 0, 0 },
new float[] { .11f, .11f, .11f, 0, 0 },
new float[] { 0, 0, 0, 1, 0 },
new float[] { 0, 0, 0, 0, 1 }
});
ImageAttributes attributes = new ImageAttributes();
attributes.SetColorMatrix(colorMatrix);
g.DrawImage(imagem, new Rectangle(0, (int)(imagem.Height * 0.1), imagem.Width, (int)(imagem.Height * 0.8)), 0, imagem.Height * 0.1f, imagem.Width, imagem.Height * 0.8f, GraphicsUnit.Pixel, attributes);
g.Dispose();
imagem = newBitmap;
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();
GaussianSharpen gs = new GaussianSharpen();
ContrastCorrection cc = new ContrastCorrection();
bc.MinHeight = 3;
FiltersSequence seq = new FiltersSequence(gs, inverter, open, inverter, bc, inverter, open, cc, cor, bc, inverter);
return((Bitmap)seq.Apply(imagem));
}
/// <returns>Morphology opened image</returns>
public static Bitmap MorphologyOpening(this Bitmap image, int kernel)
{
if (image.PixelFormat != PixelFormat.Format8bppIndexed)
{
throw new NotSupportedException("Operation can be applied to binary 8bpp images only");//we use morphology only for binarized images
}
Erosion morphologyErosion = new Erosion();
Bitmap temp = morphologyErosion.Apply(image);
for (int i = 0; i < kernel - 1; i++)
{
temp = morphologyErosion.Apply(temp);
}
Dilatation morphologyDilatation = new Dilatation();
for (int i = 0; i < kernel; i++)
{
temp = morphologyDilatation.Apply(temp);
}
return(temp);
}
private static string ResoudreItalien(Bitmap captcha)
{
Bitmap imagem = captcha;
imagem = imagem.Clone(new Rectangle(0, 0, captcha.Width, captcha.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;
FiltersSequence seq = new FiltersSequence(gs, inverter, open, inverter, bc, inverter, open, cc, cor, bc, inverter);
string reconhecido = OCRItalien((Bitmap)seq.Apply(imagem));
return reconhecido;
}
/// <summary>
/// This method binarize dnd dilate image.
/// </summary>
/// <param name="image"></param>
/// <returns></returns>
private Bitmap BinarizeAndDilationWithMedian(Bitmap image)
{
int[,] kernel =
{
{ -2, -1, 0 },
{ -1, 1, 1 },
{ 0, 1, 2 }
};
// create filter
Convolution Convolution = new Convolution(kernel);
// apply the filter
Convolution.ApplyInPlace(image);
var bmp8bpp = Grayscale.CommonAlgorithms.BT709.Apply(image);
Invert invert = new Invert();
invert.ApplyInPlace(bmp8bpp);
Dilatation dilatation = new Dilatation();
dilatation.ApplyInPlace(bmp8bpp);
invert.ApplyInPlace(bmp8bpp);
Median median = new Median();
median.ApplyInPlace(bmp8bpp);
Closing closing = new Closing();
closing.ApplyInPlace(bmp8bpp);
OtsuThreshold OtsuThreshold = new OtsuThreshold();
OtsuThreshold.ApplyInPlace(bmp8bpp);
//bmp8bpp.Save(@"C:\Users\Maor\Desktop\mode\BinarizeAndDilationWithMedian.jpeg");
return(bmp8bpp);
}
public static Bitmap FormatImageRecaptcha(Bitmap imagem)
{
imagem = imagem.Clone(new Rectangle(0, 0, imagem.Width, imagem.Height), System.Drawing.Imaging.PixelFormat.Format24bppRgb);
Erosion erosion = new Erosion();
Dilatation dilatation = new Dilatation();
Closing close = new Closing();
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();
bc.MinHeight = 30; // chỉ bắt các đối tượng có chiều cao >=30
GaussianSharpen gs = new GaussianSharpen(1, 2); // tăng độ đậm của chi tiết lên gấp đôi
ContrastCorrection cc = new ContrastCorrection();
FiltersSequence seq = new FiltersSequence(gs, inverter, open, inverter, bc, open, cc, bc, cor);
return(seq.Apply(imagem));
}
private string SolveCaptcha(Image img)
{
Bitmap imagem = new Bitmap(img);
SetPixelColor(imagem, false);
SetPixelColor(imagem, false);
string filename = "test/" + Guid.NewGuid().ToString() + ".png";
SetPixelColor(imagem, false);
imagem = ProcessImage(imagem);
imagem.Save(filename);
System.Drawing.Bitmap bitmap = new System.Drawing.Bitmap(filename);
var imageClone = bitmap.Clone(new Rectangle(0, 0, bitmap.Width, bitmap.Height), System.Drawing.Imaging.PixelFormat.Format24bppRgb);
Erosion erosion = new Erosion();
Dilatation dilatation = new Dilatation();
Invert inverter = new Invert();
ColorFiltering cor = new ColorFiltering();
cor.Red = new AForge.IntRange(150, 255);
cor.Green = new AForge.IntRange(150, 255);
cor.Blue = new AForge.IntRange(128, 255);
Opening open = new Opening();
BlobsFiltering bc = new BlobsFiltering();
Closing close = new Closing();
GaussianSharpen gs = new GaussianSharpen();
ContrastCorrection cc = new ContrastCorrection();
FiltersSequence seq = new FiltersSequence(cc, gs, inverter, cor, bc, cor, cc, cor, bc);
var image = seq.Apply(imageClone);
var byteImg = ImageToByte(image);
var result = OCR(ByteToImage(byteImg));
return(result);
}
private void dİlateToolStripMenuItem_Click(object sender, EventArgs e)
{
Dilatation filter = new Dilatation();
ApplyFilter(filter);
}
private void resultGestureToolStripMenuItem_Click(object sender, EventArgs e)
{
int dir;
int no;
List <string> filedir = new List <string>(Directory.GetDirectories(path));
for (dir = 0, no = 0; (dir < filedir.Count && no <= 26); dir++, no++)
{
string[] filePaths = Directory.GetFiles(filedir[dir].ToString());
List <Bitmap> y = new List <Bitmap>();
foreach (var iI in filePaths)
{
Bitmap Image = new Bitmap(iI);
y.Add(Image);
}
foreach (Bitmap img in y)
{
pictureBox1.Image = img;
srcImg = img;
dstImg = img;
Bitmap skin = new Bitmap(pictureBox1.Image);
var rect = new Rectangle(0, 0, skin.Width, skin.Height);
var data = skin.LockBits(rect, ImageLockMode.ReadWrite, skin.PixelFormat);
var depth = Bitmap.GetPixelFormatSize(data.PixelFormat) / 8; //bytes per pixel
var buffer = new byte[data.Width * data.Height * depth];
//copy pixels to buffer
Marshal.Copy(data.Scan0, buffer, 0, buffer.Length);
System.Threading.Tasks.Parallel.Invoke(
() =>
{
//upper-left
Process(buffer, 0, 0, data.Width / 2, data.Height / 2, data.Width, depth);
},
() =>
{
//upper-right
Process(buffer, data.Width / 2, 0, data.Width, data.Height / 2, data.Width, depth);
},
() =>
{
//lower-left
Process(buffer, 0, data.Height / 2, data.Width / 2, data.Height, data.Width, depth);
},
() =>
{
//lower-right
Process(buffer, data.Width / 2, data.Height / 2, data.Width, data.Height, data.Width, depth);
}
);
//Copy the buffer back to image
Marshal.Copy(buffer, 0, data.Scan0, buffer.Length);
skin.UnlockBits(data);
pictureBox2.Image = skin;
Bitmap src = new Bitmap(pictureBox1.Image);
Bitmap res = new Bitmap(pictureBox2.Image);
src = resize(src, new Size(200, 200));
res = resize(res, new Size(200, 200));
pictureBox1.Image = src;
pictureBox2.Image = res;
GrayscaleBT709 grayoject = new GrayscaleBT709();
pictureBox2.Image = grayoject.Apply((Bitmap)pictureBox2.Image);
Dilatation filter = new Dilatation();
// apply the filter
pictureBox2.Image = filter.Apply((Bitmap)pictureBox2.Image);
ExtractBiggestBlob filter1 = new ExtractBiggestBlob();
pictureBox2.Image = filter.Apply((Bitmap)pictureBox2.Image);
blob = filter1.BlobPosition;
Bitmap src1 = new Bitmap(pictureBox1.Image);
Bitmap res1 = new Bitmap(pictureBox2.Image);
Bitmap newBmp = new Bitmap(src1.Width, res1.Height, System.Drawing.Imaging.PixelFormat.Format32bppArgb);
//Threshold t = new Threshold();
//pictureBox2.Image = t.Apply((Bitmap)pictureBox2.Image);
for (int i = 0; i < res1.Width; i++)
{
for (int j = 0; j < res1.Height; j++)
{
System.Drawing.Color srcColor = src1.GetPixel(i + blob.X, j + blob.Y);
System.Drawing.Color dstColor = res1.GetPixel(i, j);
if (!(dstColor.R >= 0 && dstColor.R <= 10 && dstColor.G >= 0 && dstColor.G <= 10 && dstColor.B >= 0 && dstColor.B <= 10))
{
newBmp.SetPixel(i, j, srcColor);
}
else
{
newBmp.SetPixel(i, j, Color.Black);
}
}
}
res1 = newBmp;
pictureBox2.Image = newBmp;
List <double> edgeCount = new List <double>();
List <double> ratio = new List <double>();
int pixelCount = 0;
Bitmap Destimg = new Bitmap(pictureBox2.Image);
GrayscaleBT709 go = new GrayscaleBT709();
pictureBox2.Image = go.Apply((Bitmap)pictureBox2.Image);
Destimg = go.Apply(Destimg);
CannyEdgeDetector filter2 = new CannyEdgeDetector(0, 0, 1.4);
pictureBox2.Image = filter2.Apply((Bitmap)pictureBox2.Image);
Destimg = filter2.Apply(Destimg);
var imgarray = new System.Drawing.Image[36];
for (int i = 0; i < 6; i++)
{
for (int j = 0; j < 6; j++)
{
pixelCount++;
var index = i * 6 + j;
imgarray[index] = new Bitmap(40, 40);
var graphics = Graphics.FromImage(imgarray[index]);
graphics.DrawImage(Destimg, new Rectangle(0, 0, 40, 40), new Rectangle(i * 40, j * 40, 40, 40), GraphicsUnit.Pixel);
graphics.Dispose();
}
}
for (int n = 0; n < 36; n++)
{
int counter = 0;
Bitmap bufferImage = new Bitmap(imgarray[n]);
for (int i = 0; i < 40; i++)
{
for (int j = 0; j < 40; j++)
{
System.Drawing.Color hoefColor = bufferImage.GetPixel(i, j);
//if(hoefColor.R<=255 && hoefColor.R>=230 && hoefColor.G <= 255 && hoefColor.G >= 230 && hoefColor.B <= 255 && hoefColor.B >= 230)
if (!(hoefColor.R == 0 && hoefColor.G == 0 && hoefColor.B == 0))
{
counter++;
}
}
}
edgeCount.Add(counter);
}
double total = edgeCount.Sum();
foreach (double x in edgeCount)
{
var a = (float)x / total;
ratio.Add(a);
}
FileStream fs = new FileStream(@"D:\AI.txt", FileMode.Append, FileAccess.Write);
StreamWriter sw = new StreamWriter(fs);
sw.Write((no) + " ");
for (int i = 0; i < ratio.Count; ++i)
{
sw.Write(i + ":" + ratio[i].ToString() + " ");
}
sw.WriteLine();
sw.Close();
fs.Close();
Problem train = Problem.Read(@"D:\AI.txt");
Problem test = Problem.Read(@"D:\test.txt");
Parameter parameters = new Parameter();
double C;
double Gamma;
parameters.C = 32; parameters.Gamma = 8;
Model model = Training.Train(train, parameters);
Prediction.Predict(test, @"D:\result.txt", model, false);
}
}
}
private void Button_HSV_Filter_Click(object sender, EventArgs e)
{
Bitmap image = new Bitmap(pictureBox1.Image);
HSLFiltering filterHsl = new HSLFiltering();
Mean filterMean = new Mean();
filterHsl.Luminance = new AForge.Range(0.1f, 1);
filterHsl.UpdateHue = false;
filterHsl.UpdateSaturation = false;
filterHsl.UpdateLuminance = true;
filterHsl.ApplyInPlace(image);
filterMean.ApplyInPlace(image);
SISThreshold filterThresold = new SISThreshold();
GrayscaleBT709 filterGray = new GrayscaleBT709();
image = filterGray.Apply(image);
Bitmap clone = image.Clone(new Rectangle(0, 0, image.Width, image.Height), PixelFormat.Format8bppIndexed);
filterThresold.ApplyInPlace(clone);
image = clone;
Bitmap clone2normal = image.Clone(new Rectangle(0, 0, image.Width, image.Height), PixelFormat.Format32bppRgb);
image = clone2normal;
BlobCounter bc = new BlobCounter();
bc.FilterBlobs = true;
bc.MinWidth = 5;
bc.MinHeight = 5;
bc.ProcessImage(image);
Blob[] blobs = bc.GetObjects(image, false);
var rectanglesToClear = from blob in blobs select blob.Rectangle;
using (var gfx = Graphics.FromImage(image))
{
foreach (var rect in rectanglesToClear)
{
if (rect.Height < 20 && rect.Width < 20)
{
gfx.FillRectangle(Brushes.White, rect);
}
}
gfx.Flush();
}
Dilatation filterDilation = new Dilatation();
image = image.Clone(new Rectangle(0, 0, image.Width, image.Height), PixelFormat.Format48bppRgb);
filterDilation.ApplyInPlace(image);
filterDilation.ApplyInPlace(image);
Erosion filterErosion = new Erosion();
filterErosion.ApplyInPlace(image);
pictureBox2.Image = image;
}
private string reconhecerCaptcha(Image img)
{
Bitmap bmp = new Bitmap(pictureBox1.Image);
int threshold_value = 220; //0-255
Image <Gray, Byte> img2 = new Image <Gray, byte>(bmp);
pictureBox2.Image = img2.ToBitmap();
img2 = img2.ThresholdBinary(new Gray(threshold_value), new Gray(255));
pictureBox2.Image = img2.ToBitmap();
Bitmap imagem = new Bitmap(pictureBox2.Image);
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;
FiltersSequence seq = new FiltersSequence(inverter, inverter, bc, inverter, cc, cor, bc, inverter);
var result = ScaleByPercent(imagem, 200);
pictureBox2.Image = seq.Apply(result);
Bitmap bmp2 = new Bitmap(pictureBox2.Image);
var palette = new Dictionary <Color, int>();
for (var x = 0; x < bmp2.Width; x++)
{
for (var y = 0; y < bmp2.Height; y++)
{
var clr = bmp2.GetPixel(x, y);
if (!palette.ContainsKey(clr))
{
palette.Add(clr, 1);
}
else
{
palette[clr] = palette[clr] + 1;
}
}
}
var i = 0;
foreach (var c in palette)
{
if (c.Value > 30)
{
var temp = this.ClearBitmap(bmp2, c.Key);
if (i == 0)
{
temp2 = new Bitmap(temp);
}
temp.Save(String.Format("D:\\mask-{0}.bmp", i));
i++;
}
}
string reconhecido = OCR((Bitmap)pictureBox2.Image);
return(reconhecido);
}
public DilatationFilter()
{
dilatation = new Dilatation();
}
public Binarize(UISettings ui, FileData file) : base(ui, file)
{
try {
Invert AFinvert = new Invert();
switch (ui.ThresholdIndex) // threshold method selection "Global mean" / "Local adaptive"
{
case 0: // Global
if (ui.ThreshGlobalIsAbsolute) // use absolute
{
Threshold AFglobalbinary = new Threshold(ui.ThreshGlobalAbsolute);
UnmanagedBlackWhite = AFglobalbinary.Apply(UnmanagedGray);
}
else // use relative
{
ImageStatistics stats = new ImageStatistics(UnmanagedGray, AFinvert.Apply(UnmanagedExclude));
Threshold AFglobalbinary = new Threshold(stats.Gray.Center2QuantileValue(1.0d * ui.ThreshGlobalRelative / 255.0d));
UnmanagedBlackWhite = AFglobalbinary.Apply(UnmanagedGray);
}
break;
case 1: // Local
BradleyLocalThresholdingX AFlocalbinary = new BradleyLocalThresholdingX()
{
PixelBrightnessDifferenceLimit = ui.ThreshLocalBrightnessDifference,
WindowSize = ui.ThreshLocalWindowSize, UpperLimit = 250
};
UnmanagedBlackWhite = AFlocalbinary.Apply(UnmanagedGray);
break;
}
if (ui.FillHoleAirspaceSwitch && ui.FillHoleAirspace != 0) // fill holes of airspaces
{
FillHoles AFfillinair = new FillHoles()
{
CoupledSizeFiltering = true, MaxHoleHeight = ui.FillHoleAirspace, MaxHoleWidth = ui.FillHoleAirspace
};
//FillHolesArea AFfillinair=new FillHolesArea() { MaxHoleArea=ui.FillHoleAirspace };
AFfillinair.ApplyInPlace(UnmanagedBlackWhite);
}
UnmanagedBlackWhite = AFinvert.Apply(UnmanagedBlackWhite);
if (ui.FillHoleTissueSwitch && ui.FillHoleTissue != 0) // fill holes of tissue
{
FillHoles AFfillintissue = new FillHoles()
{
CoupledSizeFiltering = true, MaxHoleHeight = ui.FillHoleTissue, MaxHoleWidth = ui.FillHoleTissue
};
//FillHolesArea AFfillintissue=new FillHolesArea() { MaxHoleArea=ui.FillHoleTissue };
AFfillintissue.ApplyInPlace(UnmanagedBlackWhite);
}
if (ui.MorphoDilateSwitch && ui.MorphoDilate != 0) // Morphological Dilate
{
int n = (Math.Max(ui.MorphoDilate, 0) * 2 + 1); short[,] morphmatrix = new short[n, n];
for (int i = 0; i < n; i++)
{
for (int j = 0; j < n; j++)
{
morphmatrix[i, j] = 1;
}
}
Dilatation AFdilate = new Dilatation(morphmatrix);
AFdilate.ApplyInPlace(UnmanagedBlackWhite);
}
if (ui.MorphoErodeSwitch && ui.MorphoErode != 0) // Morphological Erode
{
int n = (Math.Max(ui.MorphoErode, 0) * 2 + 1); short[,] morphmatrix = new short[n, n];
for (int i = 0; i < n; i++)
{
for (int j = 0; j < n; j++)
{
morphmatrix[i, j] = 1;
}
}
Erosion AFerode = new Erosion(morphmatrix);
AFerode.ApplyInPlace(UnmanagedBlackWhite);
}
if (ui.ExcludeColorSwitch)
{
NonParen_SumArea = ui.um2px2 * UnmanagedExclude.NonBlackArea();
}
if (ui.BlobMinSwitch)
{
Low_Threshold = Math.Pow(10.0d, ui.BlobMin) - 1;
}
else
{
Low_Threshold = 0.0d;
}
if (ui.BlobMaxSwitch)
{
High_Threshold = Math.Pow(10.0d, ui.BlobMax) - 1;
}
else
{
High_Threshold = int.MaxValue;
}
if (ui.BlobMinSwitch || ui.BlobMaxSwitch)
{
Merge AFmerge1 = new Merge(UnmanagedExclude);
ExcludeSize AFexcsize = new ExcludeSize()
{
Low = (int)Math.Round(Low_Threshold / ui.um2px2), High = (int)Math.Round(Math.Min(int.MaxValue, High_Threshold / ui.um2px2))
};
Merge AFmerge2 = new Merge(AFexcsize.Apply(AFinvert.Apply(AFmerge1.Apply(UnmanagedBlackWhite))));
AFmerge2.ApplyInPlace(UnmanagedExclude);
Low_SumArea = ui.um2px2 * AFexcsize.LowCount;
High_SumArea = ui.um2px2 * AFexcsize.HighCount;
}
} catch { throw new Exception("Error Occured During Binarization"); }
}
public override Bitmap ApplyFilter(List <Bitmap> bitmap)
{
Dilatation filter = new Dilatation(Matrix);
return(filter.Apply(bitmap[0]));
}
private void button2_Click(object sender, EventArgs e)
{
if (FinalFrame.IsRunning == true)
{
pictureBox2.Image = (Bitmap)pictureBox1.Image.Clone();
}
Bitmap InputImage = (Bitmap)pictureBox2.Image;
Rectangle Tile = new Rectangle(0, 0, InputImage.Width, InputImage.Height);
BitmapData bitmapdata = InputImage.LockBits(Tile, ImageLockMode.ReadWrite, InputImage.PixelFormat);
int formatsize = Bitmap.GetPixelFormatSize(bitmapdata.PixelFormat) / 8;
var tempreg = new byte[bitmapdata.Width * bitmapdata.Height * formatsize];
Marshal.Copy(bitmapdata.Scan0, tempreg, 0, tempreg.Length);
System.Threading.Tasks.Parallel.Invoke(
() =>
{
multithread1(tempreg, 0, 0, bitmapdata.Width / 2, bitmapdata.Height / 2, bitmapdata.Width, formatsize);
},
() =>
{
multithread1(tempreg, 0, bitmapdata.Height / 2, bitmapdata.Width / 2, bitmapdata.Height, bitmapdata.Width, formatsize);
},
() =>
{
multithread1(tempreg, bitmapdata.Width / 2, 0, bitmapdata.Width, bitmapdata.Height / 2, bitmapdata.Width, formatsize);
},
() =>
{
multithread1(tempreg, bitmapdata.Width / 2, bitmapdata.Height / 2, bitmapdata.Width, bitmapdata.Height, bitmapdata.Width, formatsize);
}
);
Marshal.Copy(tempreg, 0, bitmapdata.Scan0, tempreg.Length);
InputImage.UnlockBits(bitmapdata);
Grayscale grayfilter = new Grayscale(0.2125, 0.7154, 0.0721);//GrayscaleBT709 grayfilter=new GrayscaleBT709();
Dilatation dilatefilter = new Dilatation();
Erosion erodefilter = new Erosion();
InputImage = grayfilter.Apply((Bitmap)InputImage);
InputImage = dilatefilter.Apply((Bitmap)InputImage);
InputImage = erodefilter.Apply((Bitmap)InputImage);
//Opening openfilter = new Opening();
//InputImage=openfilter.Apply((Bitmap)InputImage);
//Closing closefilter = new Closing();
//InputImage=closefilter.Apply((Bitmap)InputImage);
ExtractBiggestBlob blob = new ExtractBiggestBlob();
InputImage = blob.Apply(InputImage);
int cordx = blob.BlobPosition.X;
int cordy = blob.BlobPosition.Y;
Bitmap source = new Bitmap(pictureBox1.Image);
Bitmap destination = new Bitmap(InputImage);
var sourcerectangle = new Rectangle(0, 0, source.Width, source.Height);
var destinationrectangle = new Rectangle(0, 0, destination.Width, destination.Height);
var sourcedata = source.LockBits(sourcerectangle, ImageLockMode.ReadWrite, source.PixelFormat);
var destinationdata = destination.LockBits(destinationrectangle, ImageLockMode.ReadWrite, destination.PixelFormat);
var sourcedepth = Bitmap.GetPixelFormatSize(sourcedata.PixelFormat) / 8;
var destinationdepth = Bitmap.GetPixelFormatSize(destinationdata.PixelFormat) / 8;
var source1 = new byte[sourcedata.Width * sourcedata.Height * sourcedepth];
var destination1 = new byte[destinationdata.Width * destinationdata.Height * destinationdepth];
Marshal.Copy(sourcedata.Scan0, source1, 0, source1.Length);
Marshal.Copy(destinationdata.Scan0, destination1, 0, destination1.Length);
System.Threading.Tasks.Parallel.Invoke(
() =>
{
multithread2(source1, destination1, cordx, 0, cordy, 0, cordx + (destinationdata.Width / 2), destinationdata.Width / 2, cordy + (destinationdata.Height / 2), destinationdata.Height / 2, sourcedata.Width, destinationdata.Width, sourcedepth, destinationdepth);
},
() =>
{
multithread2(source1, destination1, cordx + (destinationdata.Width / 2), destinationdata.Width / 2, cordy, 0, cordx + (destinationdata.Width), destinationdata.Width, cordy + (destinationdata.Height / 2), destinationdata.Height / 2, sourcedata.Width, destinationdata.Width, sourcedepth, destinationdepth);
},
() =>
{
multithread2(source1, destination1, cordx, 0, cordy + (destinationdata.Height / 2), destinationdata.Height / 2, cordx + (destinationdata.Width / 2), destinationdata.Width / 2, cordy + (destinationdata.Height), destinationdata.Height, sourcedata.Width, destinationdata.Width, sourcedepth, destinationdepth);
},
() =>
{
multithread2(source1, destination1, cordx + (destinationdata.Width / 2), destinationdata.Width / 2, cordy + (destinationdata.Height / 2), destinationdata.Height / 2, cordx + (destinationdata.Width), destinationdata.Width, cordy + (destinationdata.Height), destinationdata.Height, sourcedata.Width, destinationdata.Width, sourcedepth, destinationdepth);
}
);
Marshal.Copy(source1, 0, sourcedata.Scan0, source1.Length);
Marshal.Copy(destination1, 0, destinationdata.Scan0, destination1.Length);
source.UnlockBits(sourcedata);
destination.UnlockBits(destinationdata);
InputImage = destination;
InputImage = grayfilter.Apply((Bitmap)InputImage);
CannyEdgeDetector edgesoutline = new CannyEdgeDetector();
InputImage = edgesoutline.Apply(InputImage);
pictureBox2.Image = InputImage;
Bitmap blocks = new Bitmap(InputImage);
int[] numofedges = new int[100];
double[] normalized = new double[400];
String alphabet = null;
int total = 0;
int sq = 1;
for (int p = 1; p <= 8; p++)
{
for (int q = 1; q <= 8; q++)
{
for (int x = (p - 1) * blocks.Width / 8; x < (p * blocks.Width / 8); x++)
{
for (int y = (q - 1) * blocks.Height / 8; y < (q * blocks.Height / 8); y++)
{
Color colorPixel = blocks.GetPixel(x, y);
int r = colorPixel.R;
int g = colorPixel.G;
int b = colorPixel.B;
if (r != 0 & g != 0 & b != 0)
{
numofedges[sq]++;
}
}
}
sq++;
}
}
for (sq = 1; sq <= 64; sq++)
{
total = total + numofedges[sq];
}
for (sq = 1; sq <= 64; sq++)
{
normalized[sq] = (double)numofedges[sq] / total;
alphabet = alphabet + " " + sq.ToString() + ":" + normalized[sq].ToString();
}
File.WriteAllText(@"datasets\testalpha.txt", label.ToString() + alphabet + Environment.NewLine);
Problem train = Problem.Read(@"datasets\trainedset.txt");
Problem test = Problem.Read(@"datasets\testalpha.txt");
Parameter parameter = new Parameter();
parameter.C = 32;
parameter.Gamma = 8;
Model model = Training.Train(train, parameter);
Prediction.Predict(test, @"datasets\result.txt", model, false);
int value = Convert.ToInt32(File.ReadAllText(@"datasets\result.txt"));
String res = null;
res = res + (char)(value + 65);
label1.Text = res;
}
private void button2_Click(object sender, EventArgs e)
{
pictureBox2.Image = (Bitmap)pictureBox1.Image.Clone();
Bitmap src = new Bitmap(pictureBox2.Image);
Bitmap res = new Bitmap(pictureBox2.Image);
SaveFileDialog saveDialog = new SaveFileDialog();
src = resize(src, new Size(200, 200));
res = resize(res, new Size(200, 200));
pictureBox2.Image = src;
srcImg = src;
pictureBox2.Image = res;
Bitmap sampleImage = new Bitmap(pictureBox2.Image);
var rect = new Rectangle(0, 0, sampleImage.Width, sampleImage.Height);
var data = sampleImage.LockBits(rect, ImageLockMode.ReadWrite, sampleImage.PixelFormat);
var depth = Bitmap.GetPixelFormatSize(data.PixelFormat) / 8; //bytes per pixel
var buffer = new byte[data.Width * data.Height * depth];
//copy pixels to buffer
Marshal.Copy(data.Scan0, buffer, 0, buffer.Length);
System.Threading.Tasks.Parallel.Invoke(
() =>
{
//upper-left
Process(buffer, 0, 0, data.Width / 2, data.Height / 2, data.Width, depth);
},
() =>
{
//upper-right
Process(buffer, data.Width / 2, 0, data.Width, data.Height / 2, data.Width, depth);
},
() =>
{
//lower-left
Process(buffer, 0, data.Height / 2, data.Width / 2, data.Height, data.Width, depth);
},
() =>
{
//lower-right
Process(buffer, data.Width / 2, data.Height / 2, data.Width, data.Height, data.Width, depth);
}
);
//Copy the buffer back to image
Marshal.Copy(buffer, 0, data.Scan0, buffer.Length);
sampleImage.UnlockBits(data);
pictureBox2.Image = sampleImage;
dstImg = sampleImage;
void Process(byte[] buffer1, int x, int y, int endx, int endy, int width, int depth1)
{
for (int i = x; i < endx; i++)
{
for (int j = y; j < endy; j++)
{
var offset = ((j * width) + i) * depth;
var B = buffer[offset + 0];
var G = buffer[offset + 1];
var R = buffer[offset + 2];
var a = Math.Max(R, Math.Max(B, G));
var b = Math.Min(R, Math.Min(B, G));
if (!(((R > 95) && (G > 40) && (B > 20) && ((a - b) > 15) && (Math.Abs(R - G) > 15) && (R > G) && (R > B)) || ((R > 220) && (G > 210) && (B > 170) && ((a - b) > 15) && (Math.Abs(R - G) > 15) && (R > G) && (G > B))))
{
buffer[offset + 0] = buffer[offset + 1] = buffer[offset + 2] = 0;
}
else
{
buffer[offset + 0] = buffer[offset + 1] = buffer[offset + 2] = 255;
}
}
}
}
//Graysacle
GrayscaleBT709 filter = new GrayscaleBT709();
pictureBox2.Image = filter.Apply((Bitmap)pictureBox2.Image);
dstImg = filter.Apply(dstImg);
//Dilatation
try
{
Dilatation filter1 = new Dilatation();
pictureBox2.Image = filter1.Apply((Bitmap)pictureBox2.Image);
dstImg = filter1.Apply(dstImg);
}
catch (Exception)
{
System.Windows.Forms.MessageBox.Show("Apply Grayscale");
}
//Biggest Blob Extraction
ExtractBiggestBlob filter2 = new ExtractBiggestBlob();
pictureBox2.Image = filter2.Apply((Bitmap)pictureBox2.Image);
dstImg = filter2.Apply(dstImg);
blob = filter2.BlobPosition;
Bitmap newBmp = new Bitmap(dstImg.Width, dstImg.Height, System.Drawing.Imaging.PixelFormat.Format32bppArgb);
using (Graphics gfx = Graphics.FromImage(newBmp))
{
gfx.DrawImage(dstImg, 0, 0);
}
//newBmp = dstImg;
for (int i = 0; i < dstImg.Width; i++)
{
for (int j = 0; j < dstImg.Height; j++)
{
System.Drawing.Color srcColor = srcImg.GetPixel(i + blob.X, j + blob.Y);
System.Drawing.Color dstColor = dstImg.GetPixel(i, j);
if (!(dstColor.R >= 0 && dstColor.R <= 10 && dstColor.G >= 0 && dstColor.G <= 10 && dstColor.B >= 0 && dstColor.B <= 10))
{
newBmp.SetPixel(i, j, srcColor);
}
}
}
dstImg = newBmp;
pictureBox2.Image = newBmp;
List <double> edgeCount = new List <double>();
List <double> ratio = new List <double>();
int pixelCount = 0;
Bitmap hoefImage = new Bitmap(pictureBox2.Image);
GrayscaleBT709 grayFilter = new GrayscaleBT709();
hoefImage = grayFilter.Apply((Bitmap)pictureBox2.Image);
CannyEdgeDetector cannyFilter = new CannyEdgeDetector(0, 0, 1.4);
hoefImage = cannyFilter.Apply(hoefImage);
pictureBox2.Image = hoefImage;
var imgarray = new System.Drawing.Image[36];
for (int i = 0; i < 6; i++)
{
for (int j = 0; j < 6; j++)
{
pixelCount++;
var index = i * 6 + j;
imgarray[index] = new Bitmap(40, 40);
var graphics = Graphics.FromImage(imgarray[index]);
graphics.DrawImage(hoefImage, new Rectangle(0, 0, 40, 40), new Rectangle(i * 40, j * 40, 40, 40), GraphicsUnit.Pixel);
graphics.Dispose();
}
}
for (int n = 0; n < 36; n++)
{
int counter = 0;
Bitmap bufferImage = new Bitmap(imgarray[n]);
for (int i = 0; i < 40; i++)
{
for (int j = 0; j < 40; j++)
{
System.Drawing.Color hoefColor = bufferImage.GetPixel(i, j);
if (!(hoefColor.R == 0 && hoefColor.G == 0 && hoefColor.B == 0))
{
counter++;
}
}
}
edgeCount.Add(counter);
}
double Total = edgeCount.Sum();
foreach (double x in edgeCount)
{
var a = x / Total;
ratio.Add(a);
}
FileStream fs = new FileStream(@"E:\test.txt", FileMode.Create, FileAccess.Write);
StreamWriter sw = new StreamWriter(fs);
int no = 0;
sw.Write((++no) + " ");
for (int i = 0; i < ratio.Count; ++i)
{
sw.Write(i + ":" + ratio[i].ToString() + " ");
}
sw.WriteLine();
sw.Close();
fs.Close();
//Support Vector Machine
Problem train = Problem.Read(@"E:\AI.txt");
Problem test = Problem.Read(@"E:\test.txt");
Parameter parameters = new Parameter();
double C;
double Gamma;
parameters.C = 32; parameters.Gamma = 8;
Model model = Training.Train(train, parameters);
Prediction.Predict(test, @"E:\result.txt", model, false);
FileStream fs1 = new FileStream(@"E:\result.txt", FileMode.Open, FileAccess.Read);
StreamReader sw1 = new StreamReader(fs1);
string w = sw1.ReadLine();
if (w == "1")
{
MessageBox.Show("A");
}
else if (w == "2")
{
MessageBox.Show("B");
}
else if (w == "3")
{
MessageBox.Show("C");
}
else if (w == "4")
{
MessageBox.Show("D");
}
else if (w == "5")
{
MessageBox.Show("E");
}
else if (w == "6")
{
MessageBox.Show("F");
}
else if (w == "7")
{
MessageBox.Show("G");
}
else if (w == "8")
{
MessageBox.Show("H");
}
else if (w == "9")
{
MessageBox.Show("I");
}
else if (w == "10")
{
MessageBox.Show("J");
}
else if (w == "11")
{
MessageBox.Show("K");
}
//else { MessageBox.Show("L"); }
}
