private WriteableBitmap FindPlate(IEnumerable<Rect> rects, WriteableBitmap image) { WriteableBitmap bestCandidate = null; foreach (var rect in rects) { var croppedImage = image.Crop(rect); var edgeFilter = new CannyEdgeDetector(); var smoothFilter = new Median(); var grayFilter = new Grayscale(0.2125, 0.7154, 0.0721); var blobCounter = new BlobCounter(); var cutTop = croppedImage.PixelHeight * 0.3; croppedImage = croppedImage.Crop(new Rect(0, cutTop, croppedImage.PixelWidth, croppedImage.PixelHeight)); var bitmap = (Bitmap)croppedImage; var grayImage = grayFilter.Apply(bitmap); bitmap = smoothFilter.Apply(grayImage); edgeFilter.ApplyInPlace(bitmap); blobCounter.ProcessImage(bitmap); var blobs = blobCounter.GetObjectsInformation(); var possibleChars = new List<Rectangle>(); foreach (var blob in blobs) { var objRectangle = blob.Rectangle; var ratio = (double)objRectangle.Height / (double)objRectangle.Width; if (ratio >= 1.16d && ratio <= 6.3d) { possibleChars.Add(objRectangle); } } if (possibleChars.Count == 0) { continue; } bestCandidate = croppedImage; } return bestCandidate; }
// ========================================================= private void Edge_detectFunc(ref Bitmap frame, int par_int, double par_d, int par_R, int par_G, int par_B) { frame = Grayscale.CommonAlgorithms.RMY.Apply(frame); // Make gray switch (par_int) { case 1: SobelEdgeDetector SobelFilter = new SobelEdgeDetector(); SobelFilter.ApplyInPlace(frame); break; case 2: DifferenceEdgeDetector DifferenceFilter = new DifferenceEdgeDetector(); DifferenceFilter.ApplyInPlace(frame); break; case 3: HomogenityEdgeDetector HomogenityFilter = new HomogenityEdgeDetector(); HomogenityFilter.ApplyInPlace(frame); break; case 4: CannyEdgeDetector Cannyfilter = new CannyEdgeDetector(); // apply the MirrFilter Cannyfilter.ApplyInPlace(frame); break; default: HomogenityEdgeDetector filter = new HomogenityEdgeDetector(); filter.ApplyInPlace(frame); break; } GrayscaleToRGB RGBfilter = new GrayscaleToRGB(); // back to color format frame = RGBfilter.Apply(frame); }
private Bitmap GetEdgedImage(WriteableBitmap writeableBitmap) { var edgeFilter = new CannyEdgeDetector(255, 0); var smoothFilter = new Median(); var grayFilter = new Grayscale(0.2125, 0.7154, 0.0721); var bitmap = (Bitmap)writeableBitmap; bitmap = grayFilter.Apply(bitmap); smoothFilter.ApplyInPlace(bitmap); edgeFilter.ApplyInPlace(bitmap); return bitmap; }
// ========================================================= private void Edge_detectFunc(ref Bitmap frame, int par_int) { frame = Grayscale.CommonAlgorithms.RMY.Apply(frame); // Make gray switch (par_int) { case 1: SobelEdgeDetector SobelFilter = new SobelEdgeDetector(); SobelFilter.ApplyInPlace(frame); break; case 2: DifferenceEdgeDetector DifferenceFilter = new DifferenceEdgeDetector(); DifferenceFilter.ApplyInPlace(frame); break; case 3: HomogenityEdgeDetector HomogenityFilter = new HomogenityEdgeDetector(); HomogenityFilter.ApplyInPlace(frame); break; case 4: // can we not have references to canny in the code. gives me ptsd flashbacks CannyEdgeDetector Nightmare = new CannyEdgeDetector(); // apply the filter Nightmare.ApplyInPlace(frame); break; default: HomogenityEdgeDetector filter = new HomogenityEdgeDetector(); filter.ApplyInPlace(frame); break; } GrayscaleToRGB RGBfilter = new GrayscaleToRGB(); // back to color format frame = RGBfilter.Apply(frame); }
private void button2_Click(object sender, EventArgs e) { button2.Text = "处理中"; switch (comboBox4.SelectedIndex) { case 0: { Bitmap temp = (Bitmap)pictureBox1.Image; OilPainting filter3 = new OilPainting(10); // apply the filter filter3.ApplyInPlace(temp); this.pictureBox2.Image = ResizeBitmap(temp); break; } case 1: { Bitmap temp = (Bitmap)pictureBox1.Image; temp = new Grayscale(0.2125, 0.7154, 0.0721).Apply(temp); DifferenceEdgeDetector edgeDetector = new DifferenceEdgeDetector(); temp = edgeDetector.Apply(temp); temp = new Threshold((int)numericUpDown1.Value).Apply(temp); //FillHoles filter2 = new FillHoles(); //filter2.MaxHoleHeight = MinHeight; //filter2.MaxHoleWidth = MaxWidth; //filter2.CoupledSizeFiltering = false; // apply the filter //temp = filter2.Apply(temp); //HorizontalRunLengthSmoothing hrls = new HorizontalRunLengthSmoothing(40); // apply the filter //hrls.ApplyInPlace(temp); /*AForge.Imaging.Filters.BlobsFiltering filter = new AForge.Imaging.Filters.BlobsFiltering(); * // 设置过滤条件(对象长、宽至少为70) * filter.CoupledSizeFiltering = true; * filter.MaxWidth = (int)numericUpDown3.Value; * filter.MaxHeight = (int)numericUpDown4.Value; * filter.MinWidth = (int)numericUpDown5.Value; * filter.MinHeight = (int)numericUpDown6.Value; * filter.ApplyInPlace(temp);*/ BlobCounter blobCounter = new BlobCounter(); blobCounter.MinHeight = 32; blobCounter.MinWidth = 32; blobCounter.FilterBlobs = true; blobCounter.ObjectsOrder = ObjectsOrder.Size; // 4 - find all stand alone blobs blobCounter.ProcessImage(temp); Blob[] blobs = blobCounter.GetObjectsInformation(); SimpleShapeChecker shapeChecker = new SimpleShapeChecker(); List <IntPoint> corners = null; List <IntPoint> corners2 = null; for (int i = 0, n = blobs.Length; i < n; i++) { List <IntPoint> edgePoints = blobCounter.GetBlobsEdgePoints(blobs[i]); // does it look like a quadrilateral ? if (shapeChecker.IsQuadrilateral(edgePoints, out corners)) { // get edge points on the left and on the right side List <IntPoint> leftEdgePoints, rightEdgePoints; blobCounter.GetBlobsLeftAndRightEdges(blobs[i], out leftEdgePoints, out rightEdgePoints); listBox1.DataSource = leftEdgePoints; listBox2.DataSource = rightEdgePoints; } } //listBox1.DataSource = corners; //listBox2.DataSource = corners2; this.pictureBox1.Image = temp; break; } case 2: { Bitmap bt2 = new Bitmap(@"D:\TCL条码\截图01.bmp"); Bitmap bt1 = new Bitmap(@"D:\TCL条码\截图03.bmp"); //Bitmap bt1 = new Bitmap(pictureBox2.Image); ExhaustiveTemplateMatching tm = new ExhaustiveTemplateMatching(0.80f); //基于一定的相似性阈值获得匹配块 TemplateMatch[] matchings = tm.ProcessImage(bt1, bt2); BitmapData data = bt1.LockBits( new Rectangle(0, 0, bt1.Width, bt1.Height), ImageLockMode.ReadWrite, bt1.PixelFormat); foreach (TemplateMatch m in matchings) { Drawing.Rectangle(data, m.Rectangle, Color.Red); } bt1.UnlockBits(data); pictureBox2.Image = bt1; break; } case 3: { Bitmap bt2 = new Bitmap(@"D:\TCL条码\Canny算法.png"); AForge.Imaging.Filters.BlobsFiltering filter = new AForge.Imaging.Filters.BlobsFiltering(); // 设置过滤条件(对象长、宽至少为70) filter.CoupledSizeFiltering = true; filter.MaxWidth = (int)numericUpDown3.Value; filter.MaxHeight = (int)numericUpDown4.Value; filter.MinWidth = (int)numericUpDown5.Value; filter.MinHeight = (int)numericUpDown6.Value; filter.ApplyInPlace(bt2); pictureBox1.Image = bt2; byte[] RESULT = BitmapToBytes(bt2); break; } case 4: { Bitmap temp = (Bitmap)pictureBox1.Image; temp = new Grayscale(0.2125, 0.7154, 0.0721).Apply(temp); AForge.Imaging.Filters.CannyEdgeDetector filter = new AForge.Imaging.Filters.CannyEdgeDetector(); filter.ApplyInPlace(temp); pictureBox2.Image = temp; break; } } button2.Text = "处理"; }
private void videoNewFrame(object sender, NewFrameEventArgs args) { Bitmap temp = args.Frame.Clone() as Bitmap; switch (comboBox3.SelectedIndex) { case 0: break; case 1: temp = new Grayscale(0.2125, 0.7154, 0.0721).Apply(temp); break; case 2: temp = new Grayscale(0.2125, 0.7154, 0.0721).Apply(temp); temp = new Threshold((int)numericUpDown1.Value).Apply(temp); break; case 3: temp = new Grayscale(0.2125, 0.7154, 0.0721).Apply(temp); AForge.Imaging.Filters.CannyEdgeDetector filter = new AForge.Imaging.Filters.CannyEdgeDetector(); filter.ApplyInPlace(temp); break; case 4: for (int i = 0; i < (int)numericUpDown2.Value; i++) { temp = new Dilatation().Apply(temp); } break; case 5: for (int i = 0; i < (int)numericUpDown2.Value; i++) { temp = new Erosion().Apply(temp); } break; case 6: temp = new Grayscale(0.2125, 0.7154, 0.0721).Apply(temp); AForge.Imaging.Filters.BradleyLocalThresholding filter1 = new AForge.Imaging.Filters.BradleyLocalThresholding(); filter1.ApplyInPlace(temp); break; } switch (comboBox2.SelectedIndex) { case 0: { BarcodeReader reader = new BarcodeReader(); reader.Options.CharacterSet = "UTF-8"; Result result = reader.Decode(temp); if (result != null) { if (wait == false) { MessageBox.Show(result.ToString()); wait = true; } } else { wait = false; } break; } case 1: { /*Bitmap pImg = MakeGrayscale3((Bitmap)temp); * using (ZBar.ImageScanner scanner = new ZBar.ImageScanner()) * { * scanner.SetConfiguration(ZBar.SymbolType.None, ZBar.Config.Enable, 0); * scanner.SetConfiguration(ZBar.SymbolType.CODE39, ZBar.Config.Enable, 1); * scanner.SetConfiguration(ZBar.SymbolType.CODE128, ZBar.Config.Enable, 1); * * List<ZBar.Symbol> symbols = new List<ZBar.Symbol>(); * symbols = scanner.Scan((System.Drawing.Image)pImg); * if (symbols != null && symbols.Count > 0) * { * string result = string.Empty; * symbols.ForEach(s => result += s.Data); * if (wait == false) * { * MessageBox.Show(result); * wait = true; * } * } * else * wait = false; * }*/ break; } case 2: { break; } case 3: break; } this.pictureBox1.Image = ResizeBitmap(temp); }