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 bool BlobCounter()
{
// lock image
BitmapData bitmapData = _bitmap.LockBits(ImageLockMode.ReadWrite);
// step 1 - turn background to black
ColorFiltering colorFilter = new ColorFiltering();
colorFilter.Red = new IntRange(0, 64);
colorFilter.Green = new IntRange(0, 64);
colorFilter.Blue = new IntRange(0, 64);
colorFilter.FillOutsideRange = false;
colorFilter.ApplyInPlace(bitmapData);
// step 2 - locating objects
BlobCounter blobCounter = new BlobCounter();
blobCounter.FilterBlobs = true;
blobCounter.MinHeight = 100;
blobCounter.ProcessImage(bitmapData);
Blob[] blobs = blobCounter.GetObjectsInformation();
_bitmap.UnlockBits(bitmapData);
// step 3 - check objects' type and highlight
SimpleShapeChecker shapeChecker = new SimpleShapeChecker();
using (var g = Graphics.FromImage(_bitmap))
using (Pen pen = new Pen(Color.Red, 2)) {
for (int i = 0; i < blobs.Length; i++)
{
//Debug.WriteLine(String.Format("Blob {0}: W: {1} H:{2} ", i, blobs[i].Rectangle.Width, blobs[i].Rectangle.Height));
List <IntPoint> edgePoints = blobCounter.GetBlobsEdgePoints(blobs[i]);
List <IntPoint> corners;
if (shapeChecker.IsConvexPolygon(edgePoints, out corners))
{
pen.DashStyle = System.Drawing.Drawing2D.DashStyle.Solid;
g.DrawRectangle(pen, blobs[i].Rectangle);
}
}
}
RectRight = new Rectangle();
RectLeft = new Rectangle();
if (blobs.Length != 2 || blobs.Any(b => b.Rectangle.Width > 47))
{
return(false);
}
else
{
RectLeft = blobs.OrderBy(b => b.Rectangle.Left).First().Rectangle;
RectRight = blobs.OrderBy(b => b.Rectangle.Left).Last().Rectangle;
return(true);
}
}
public static Bitmap RGBfilter(Bitmap source) // rgb 필터
{
///////////// 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 redMin = int.Parse(ini.GetIniValue("색상필터값", "RedMin"));
int redMax = int.Parse(ini.GetIniValue("색상필터값", "RedMax"));
int greenMin = int.Parse(ini.GetIniValue("색상필터값", "GreenMin"));
int greenMax = int.Parse(ini.GetIniValue("색상필터값", "GreenMax"));
int blueMin = int.Parse(ini.GetIniValue("색상필터값", "BlueMin"));
int blueMax = int.Parse(ini.GetIniValue("색상필터값", "BlueMax"));
// create filter
ColorFiltering filter = new ColorFiltering();
// set color ranges to keep
filter.Red = new IntRange(redMin, redMax);
filter.Green = new IntRange(greenMin, greenMax);
filter.Blue = new IntRange(blueMin, blueMax);
Bitmap processedImage = filter.Apply(source);
return(processedImage);
}
public static void FilterToRed(Bitmap img)
{
// create filter
//EuclideanColorFiltering filter = new EuclideanColorFiltering();
//// set center colol and radius
//filter.CenterColor = new RGB(180, 30, 30);
//filter.Radius = 30;
//// apply the filter
//filter.ApplyInPlace(img);
//HSLFiltering filter = new HSLFiltering();
//filter.Hue = new IntRange(0, 6); //these settings should works, if not
//filter.Saturation = new Range(0.6f, 1f);
//filter.Luminance = new Range(0.3f, 0.60f);
////filter
ColorFiltering colorFilter = new ColorFiltering();
colorFilter.Red = new IntRange(140, 210);
colorFilter.Green = new IntRange(0, 80);
colorFilter.Blue = new IntRange(0, 80);
colorFilter.ApplyInPlace(img);
//BlobsFiltering filter = new BlobsFiltering();
//filter.CoupledSizeFiltering = true;
//filter.MinWidth = 3;
//filter.MinHeight = 3;
//// apply the filter
//filter.ApplyInPlace(img);
}
private void sonYeni(object sender, NewFrameEventArgs eventArgs)
{
pictureBox1.Image = (Bitmap)eventArgs.Frame.Clone();
Bitmap video = (Bitmap)eventArgs.Frame.Clone();
if (takip == 1)
{
ColorFiltering colorfilter = new ColorFiltering();
colorfilter.Red = new IntRange(Red, redMax);
colorfilter.Green = new IntRange(Green, greenMax);
colorfilter.Blue = new IntRange(Blue, blueMax);
colorfilter.ApplyInPlace(video);
BlobCounter blobCounter = new BlobCounter();
blobCounter.MinHeight = 20;
blobCounter.MinWidth = 20;
blobCounter.ObjectsOrder = ObjectsOrder.Size;
blobCounter.ProcessImage(video);
Rectangle[] rect = blobCounter.GetObjectsRectangles();
if (rect.Length > 0)
{
Rectangle obj = rect[0];
Graphics gr = Graphics.FromImage(video);
using (Pen pen = new Pen(Color.White, 3))
{
gr.DrawRectangle(pen, obj);
}
gr.Dispose();
}
pictureBox2.Image = video;
}
}
public static Bitmap ApplyFilters03(Image img)
{
Bitmap image = new Bitmap(img);
image = image.Clone(new Rectangle(0, 0, img.Width, img.Height), System.Drawing.Imaging.PixelFormat.Format24bppRgb);
GaussianSharpen gs = new GaussianSharpen();
GaussianSharpen sharp = new GaussianSharpen(4, 21);
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);
//FiltersSequence seq = new FiltersSequence(gs);
//var filteredImage = seq.Apply(image);
//var image2 = AForge.Imaging.Image.Clone(image, PixelFormat.Format8bppIndexed);
//AForge.Imaging.Image.SetGrayscalePalette(image2);
//SISThreshold filter = new SISThreshold();
//filter.ApplyInPlace(image2);
return(image);
}
private Image <Gray, Byte> prepareImg3(System.Drawing.Image img, int threshold, bool invertImg)
{
// create filter
ColorFiltering filter = new ColorFiltering();
// set color ranges to keep
//filter.Red = new AForge.IntRange(125, 255);
//filter.Green = new AForge.IntRange(0, 95);
//filter.Blue = new AForge.IntRange(0, 95);
filter.Red = new AForge.IntRange(METState.Current.target_R_min, METState.Current.target_R_max);
filter.Green = new AForge.IntRange(METState.Current.target_G_min, METState.Current.target_G_max);
filter.Blue = new AForge.IntRange(METState.Current.target_B_min, METState.Current.target_B_max);
// apply the filter
Bitmap colorChannelImg = filter.Apply((Bitmap)img);
temp_Image = colorChannelImg;
Image <Gray, Byte> GrayImg = new Image <Gray, byte>((Bitmap)colorChannelImg);
EmgImgProcssing = new ImageProcessing_Emgu();
GrayImg = EmgImgProcssing.Filter_Threshold2(GrayImg, threshold, invertImg).Erode(1).Dilate(1);
return(GrayImg);
}
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 Button_Belirt_Click(object sender, EventArgs e)
{
Bitmap image = (Bitmap)pictureBox1.Image.Clone();
ColorFiltering colorFilter = new ColorFiltering();
colorFilter.Red = new IntRange(red, (int)numericUpDownRed.Value);
colorFilter.Green = new IntRange(green, (int)numericUpDownGreen.Value);
colorFilter.Blue = new IntRange(blue, (int)numericUpDownBlue.Value);
colorFilter.ApplyInPlace(image);
BlobCounter blobCounter = new BlobCounter();
blobCounter.MinHeight = 100;
blobCounter.MinWidth = 300;
blobCounter.ObjectsOrder = ObjectsOrder.Size;
blobCounter.ProcessImage(image);
Rectangle[] rectangle = blobCounter.GetObjectsRectangles(); // bundan bir daha oluştur
if (rectangle.Length > 0) //içerde beyazları tespit etmek için
{
size = rectangle[0].Size;
//MessageBox.Show(size.ToString());
Rectangle objectt = rectangle[0];
Graphics graphic = Graphics.FromImage(image);
using (Pen pen = new Pen(Color.Turquoise, 10))
{
graphic.DrawRectangle(pen, objectt);
}
graphic.Dispose();
}
pictureBox2.Image = image;
}
public ColorFilteringFilter()
{
_colorFiltering = new ColorFiltering();
_colorFiltering.Blue = new AForge.IntRange(25, 230);
_colorFiltering.Red = new AForge.IntRange(25, 230);
_colorFiltering.Green = new AForge.IntRange(25, 230);
}
private void InitializeFilters()
{
grayscaleFilter = new Grayscale(0.299, 0.587, 0.114);
bradleyLocalFilter = new BradleyLocalThresholding();
bradleyLocalFilter.WindowSize = 9;
bradleyLocalFilter.PixelBrightnessDifferenceLimit = 0.01f;
plateBlobsFiltering = new BlobsFiltering(10, 20, 80, 66);
blobCounter = new BlobCounter();
blobCounter.FilterBlobs = true;
blobCounter.MinWidth = 50;
blobCounter.MinHeight = 10;
blobCounter.MaxWidth = 520;
blobCounter.MaxHeight = 110;
plateBlobCounter = new BlobCounter();
shapeChecker = new SimpleShapeChecker();
otsuThresholdFilter = new OtsuThreshold();
fillHoles = new FillHoles();
fillHoles.MaxHoleWidth = 100;
fillHoles.MaxHoleHeight = 40;
pen = new Pen(Color.GreenYellow, 4);
openingFilter = new Opening();
contrastCorrectionFilter = new ContrastCorrection(80);
colorFiltering = new ColorFiltering();
colorFiltering.Red = new IntRange(150, 255);
colorFiltering.Green = new IntRange(150, 255);
colorFiltering.Blue = new IntRange(150, 255);
colorFiltering.FillOutsideRange = true;
invert = new Invert();
}
public static void NajdiCasRustuVmisce(string slozka, int i)
{
/* Definice rozostøovacího filtru */
GaussianBlur filterBlur = new GaussianBlur(10, 10);
/* Definice modrého filtru */
ColorFiltering filterGreen = new ColorFiltering();
filterGreen.Red = new IntRange(55, 80);
filterGreen.Green = new IntRange(55, 100);
filterGreen.Blue = new IntRange(40, 65);
/* Naètu si obrazky za každou misku */
string[] seznamObrazku = Directory.GetFiles(slozka, "*.png", SearchOption.TopDirectoryOnly);
/* Bitmap image1 = (Bitmap)Bitmap.FromFile(seznamObrazku[42]);
* Bitmap image2 = (Bitmap)Bitmap.FromFile(seznamObrazku[43]);
* string nazevObr = ObecneMetody.DatumCasZNazvu(seznamObrazku[42], "\\", ".png");
* filterBlur.ApplyInPlace(image1);
* image1.Save(slozka + "\\" + nazevObr + "_sedy.png");*/
foreach (string obrazek in seznamObrazku)
{
Bitmap image = (Bitmap)Bitmap.FromFile(obrazek);
string nazevObr = ObecneMetody.DatumCasZNazvu(obrazek, "\\", ".png");
filterBlur.ApplyInPlace(image);
//filterGreen.ApplyInPlace(image);
image.Save(slozka + "\\" + nazevObr + "_sedy.png");
//Console.WriteLine(obrazek);
}
}
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);
}
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 Bitmap LimparImagem(Image img)
{
var imagem = new Bitmap(img);
imagem = imagem.Clone(new Rectangle(0, 0, img.Width, img.Height), System.Drawing.Imaging.PixelFormat.Format24bppRgb);
var inverter = new Invert();
var cor = new ColorFiltering
{
Blue = new AForge.IntRange(200, 255),
Red = new AForge.IntRange(200, 255),
Green = new AForge.IntRange(200, 255)
};
var open = new Opening();
var bc = new BlobsFiltering();
var gs = new GaussianSharpen();
var cc = new ContrastCorrection();
bc.MinHeight = 10;
var seq = new FiltersSequence(gs, inverter, open, inverter, bc, inverter, open, cc, cor, bc, inverter);
imagem = seq.Apply(imagem);
return(imagem);
}
public void ProcessImage(string urlImage) //Görüntünün işlendiği metot.
{
Stopwatch watch = Stopwatch.StartNew(); //Görüntünün işlenmesi sırasında süre tutulması için süre başlatılmaktadır.
Bitmap root = new Bitmap(urlImage); //Root Image (Default Image)
Bitmap bmp = new Bitmap(root); //Resize Image
Bitmap bmp1 = new Bitmap(root); //Smoothing Image
Bitmap bmp2 = new Bitmap(root); //Color Filtering Image
string outputstring = "";
///Root
outputstring = this.Ocr(root);
txtNumbePlate1.Text = outputstring;
ptBNumberPlate1.Image = root;
//Resize Image to : 1920x1080
outputstring = "";
ResizeBilinear filterr = new ResizeBilinear(1920, 1080);
bmp = filterr.Apply(bmp);
outputstring = this.Ocr(bmp);
txtNumbePlate2.Text = outputstring;
ptBNumberPlate2.Image = bmp;
//Smoothing
outputstring = "";
if (BitmapFilter.GaussianBlur(bmp1, 4))
{
if (BitmapFilter.GaussianBlur(bmp1, 4))
{
if (BitmapFilter.MeanRemoval(bmp1, 9))
{
}
}
}
outputstring = this.Ocr(bmp1);
txtNumbePlate3.Text = outputstring;
ptBNumberPlate3.Image = bmp1;
//Color Filtering
outputstring = "";
ColorFiltering filter = new ColorFiltering();
filter.Green = new IntRange(175, 255);
bmp2 = filter.Apply(bmp2);
outputstring = this.Ocr(bmp2);
txtNumbePlate4.Text = outputstring;
ptBNumberPlate4.Image = bmp2;
watch.Stop(); //Stop The Timer
lblTime.Text = String.Format("Total Time : {0} Seconds", watch.Elapsed.TotalSeconds);
lblCount.Text = position.ToString() + "/" + lstimages.Count.ToString();
System.Threading.Thread.Sleep(5000);
}
public Filter()
{
InitializeComponent();
colorfilter = new ColorFiltering();
// this.drawArea.Initialize();
this.drawArea.Image = (Bitmap)frmImgProcess.imgProcess.drawArea.Image;
cb_FillType.SelectedIndex = 0;
saveImgToXml = new SaveImageToXml();
}
//rgb
private void RGB()
{
//crop();
Bitmap a = new Bitmap(Original_Image.Image);
Bitmap bim = (Bitmap)a.Clone();
BitmapData bitmapData = bim.LockBits(
new Rectangle(0, 0, bim.Width, bim.Height),
ImageLockMode.ReadWrite, bim.PixelFormat);
// step 1 - turn background to black
ColorFiltering colorFilter = new ColorFiltering();
colorFilter.Red = new IntRange(130, 195);
colorFilter.Green = new IntRange(130, 195);
colorFilter.Blue = new IntRange(130, 195);
colorFilter.FillOutsideRange = false;
bm_crop = colorFilter.Apply(bitmapData);
// crop_image.Image = bm_crop;
//pictureBox2.Image = bm_crop;
//crop_image.Image = Original_Image.Image;
//rgb
Bitmap bm = (Bitmap)bm_crop; // crop_image.Image;
//deklarasi variable
double redColors = 0;
double greencolors = 0;
double blueColor = 0;
double pixelColor = 0;
for (int y = 0; y < bm.Height; y++)
{
for (int x = 0; x < bm.Width; x++)
{
Color c = bm.GetPixel(x, y);
if (c.R != 0 && c.G != 0 && c.B != 0)
{
pixelColor++;//jumlahpixel
//mengambil nilai rgb
redColors += c.R;
greencolors += c.G;
blueColor += c.B;
}
}
}
//rata-rata nilai rgb
double red = (redColors / pixelColor);
double green = (greencolors / pixelColor);
double blue = (blueColor / pixelColor);
red = Math.Round(red, 2);
green = Math.Round(green, 2);
blue = Math.Round(blue, 2);
//textbox
txt_R.Text = red.ToString();
txt_G.Text = green.ToString();
txt_B.Text = blue.ToString();
}
public static void Face_Detection(Bitmap video)
{
ColorFiltering filter = new ColorFiltering();
// set color ranges to keep
filter.Red = new IntRange(0, 75);
filter.Green = new IntRange(0, 75);
filter.Blue = new IntRange(10, 255);
filter.ApplyInPlace(video);
}
public ListBoxItem Save()
{
var redRange = new AForge.IntRange((int)redNumericUpDown1.Value, (int)redNumericUpDown2.Value);
var greenRange = new AForge.IntRange((int)greenNumericUpDown1.Value, (int)greenNumericUpDown2.Value);
var blueRange = new AForge.IntRange((int)blueNumericUpDown1.Value, (int)blueNumericUpDown2.Value);
var filter = new ColorFiltering(redRange, greenRange, blueRange);
var text = $"ColorFiltering ({redRange} - {greenRange} - {blueRange})";
return(new ListBoxItem(text, filter));
}
/// <summary>
/// Méthode qui analyse les images envoyées par le client
/// Repère les formes présentes, les découpe et les enregistre en ficiers distincts
/// </summary>
public void ProcessImage()
{
using (CamCapturer.CamCapturer cam = new CamCapturer.CamCapturer())
{
Picture = cam.GetCapture();
Copy = cam.GetCapture();
}
ShapeChecker = new SimpleShapeChecker();
ShapeAnalyser = new BlobCounter();
string date = DateTime.Now.Date.ToString("dMyyyy");
FolderName = string.Format("Kuhlschrank-{0}", date);
ShapeAnalyser.FilterBlobs = true;
ShapeAnalyser.MinHeight = 200;
ShapeAnalyser.MinWidth = 500;
Directory.CreateDirectory(Path.Combine(Path.GetTempPath(), FolderName));
BitmapData bitData = Picture.LockBits(new Rectangle(0, 0, Picture.Width, Picture.Height), ImageLockMode.ReadWrite, Picture.PixelFormat);
ColorFiltering filter = new ColorFiltering();
filter.Red = new IntRange(0, 64);
filter.Green = new IntRange(0, 64);
filter.Blue = new IntRange(0, 64);
filter.FillOutsideRange = false;
filter.ApplyInPlace(bitData);
ShapeAnalyser.ProcessImage(bitData);
Blob[] blobs = ShapeAnalyser.GetObjectsInformation();
Picture.UnlockBits(bitData);
for (int i = 0; i < blobs.Length; i++)
{
List <IntPoint> edgePoints = ShapeAnalyser.GetBlobsEdgePoints(blobs[i]);
List <IntPoint> corners;
ShapeChecker.IsConvexPolygon(edgePoints, out corners);
IntPoint pt0 = corners[0];
IntPoint pt1 = corners[1];
IntPoint pt2 = corners[2];
double width = Math.Sqrt(Math.Pow(pt1.X - pt0.X, 2) + Math.Pow(pt1.Y - pt0.Y, 2));
double height = Math.Sqrt(Math.Pow(pt2.X - pt1.X, 2) + Math.Pow(pt2.Y - pt1.Y, 2));
Rectangle crop = new Rectangle(corners[0].X, corners[1].Y, (int)width + 50, (int)height + 50);
Bitmap target = new Bitmap(crop.Width, crop.Height);
using (Graphics gr = Graphics.FromImage(target))
gr.DrawImage(Copy, new Rectangle(0, 0, target.Width, target.Height), crop, GraphicsUnit.Pixel);
target.Save(string.Format(@"{0}\{1}\crop{2}.jpg", Path.GetTempPath(), FolderName, i));
}
}
public static void FilterColors(ref Bitmap bm, IntRange red, IntRange green, IntRange blue)
{
ColorFiltering colorFilter = new ColorFiltering
{
Red = red,
Green = green,
Blue = blue
};
colorFilter.ApplyInPlace(bm);
}
public void ApplyGrayFilter(Bitmap bmp)
{
var filter = new ColorFiltering();
filter.Red = new IntRange(150, 200);
filter.Green = new IntRange(150, 200);
filter.Blue = new IntRange(150, 200);
//filter.ApplyInPlace(img);
var grayscale = new Grayscale(0.2125, 0.7154, 0.0721);
var img = grayscale.Apply(bmp);
}
public LaserDetect()
{
point = new Mrg.Point(-1, -1);
//point = new AForge.Point(-1, -1);
xPos = yPos = 0;
colorFilter = new ColorFiltering();
colorFilter.Red = new IntRange(150, 255); //150, 180
colorFilter.Green = new IntRange(50, 120); //0,90
colorFilter.Blue = new IntRange(80, 220); //0,100
}
private void ActualizarFiltro()
{
ColorFiltering filtroColor = new ColorFiltering();
filtroColor.Red = red;
filtroColor.Green = green;
filtroColor.Blue = blue;
IFilter filtro = filtroColor;
Bitmap bmp = new Bitmap(peCaptcha.Image);
Bitmap xImage = filtro.Apply(bmp);
peCaptcha.Image = xImage;
}
private void ActualizarFiltro()
{
ColorFiltering FiltroColor = new ColorFiltering();
FiltroColor.Red = red;
FiltroColor.Green = green;
FiltroColor.Blue = blue;
IFilter Filtro = FiltroColor;
Bitmap bmp = new Bitmap(pictureCapchaE.Image);
Bitmap XImage = Filtro.Apply(bmp);
pictureCapchaE.Image = XImage;
}
public static Bitmap FilterImage(Bitmap originalBitmap)
{
var bitmap = new Bitmap(originalBitmap);
var imagem = bitmap.Clone(new System.Drawing.Rectangle(0, 0, bitmap.Width, bitmap.Height), System.Drawing.Imaging.PixelFormat.Format24bppRgb);
var colorFilter = new ColorFiltering();
colorFilter.FillColor = new RGB(255, 255, 255);
colorFilter.Red = colorFilter.Green = colorFilter.Blue = new IntRange(0, 40);
colorFilter.ApplyInPlace(bitmap);
bitmap = new FiltersSequence(colorFilter, new Invert(), new Erosion()).Apply(imagem);
return(bitmap);
}
void FinalVideoSource_NewFrame(object sender, NewFrameEventArgs eventArgs)
{
Bitmap image = (Bitmap)eventArgs.Frame.Clone();
Bitmap image1 = (Bitmap)eventArgs.Frame.Clone();
pictureBox1.Image = image;
try
{
//kırmızı
if (radioButton1.Checked)
{
//ColorFilter'in yapildigi yer
ColorFiltering filter = new ColorFiltering();
int a1 = int.Parse(textBox1.Text);
int a2 = int.Parse(textBox2.Text);
int a3 = int.Parse(textBox3.Text);
int b1 = int.Parse(textBox4.Text);
int b2 = int.Parse(textBox5.Text);
int b3 = int.Parse(textBox6.Text);
filter.Red = new IntRange(a1, b1);
filter.Green = new IntRange(a2, b2);
filter.Blue = new IntRange(a3, b3);
filter.ApplyInPlace(image1);
//Görüntü üzerinde algilanan renk kare icine aliniyor
cevresiniciz(image1);
}
//mavi
if (radioButton2.Checked)
{
int a1 = int.Parse(textBox7.Text);
int a2 = int.Parse(textBox8.Text);
int a3 = int.Parse(textBox9.Text);
// Euclidean Color Filterin yapildigi yer
EuclideanColorFiltering filter = new EuclideanColorFiltering();
// Algilanacak renk belirleniyor ve orta noktasi belirleniyor
filter.CenterColor = new RGB(Color.FromArgb(a1, a2, a3));
filter.Radius = 50;
// filtre calistiriliyor
filter.ApplyInPlace(image1);
//Görüntü üzerinde algilanan rengi cevrcevelemek veya hedeflemek icin gerekli Methodlar
cevresiniciz(image1);
//hedefal(image);
}
}
catch { }
}
public BlobFinder(IDeviationProvider provider)
{
this.provider = provider;
BlobCounter = new BlobCounter();
BlobCounter.FilterBlobs = true;
BlobCounter.MinHeight = 5;
BlobCounter.MinWidth = 5;
ColorFilter = new ColorFiltering();
ColorFilter.Red = new IntRange(0, 30);
ColorFilter.Green = new IntRange(0, 50);
ColorFilter.Blue = new IntRange(0, 30);
ColorFilter.FillOutsideRange = false;
}
