private static void Main(string[] args) { var image = TestUtils.LoadImage(@"D:\ScarIntelFinal\ScarIntel\BD\filipe_dir_an\filipe_dir_an_2.bmp"); var fp = new FingerprintTemplate(image); Bitmap img = (Bitmap) Bitmap.FromFile(@"D:\ScarIntelFinal\ScarIntel\BD\filipe_dir_an\filipe_dir_an_2.bmp"); HistogramEqualization equalization = new HistogramEqualization(); equalization.ApplyInPlace(img); img.Save("Aforge.bmp"); }
// ========================================================= private void HistogramFunct(ref Bitmap frame, int par_int, double par_d, int par_R, int par_G, int par_B) { // create MirrFilter HistogramEqualization filter = new HistogramEqualization(); // process image filter.ApplyInPlace(frame); }
public static Bitmap HistogramEquilization(Bitmap bmp) { // create filter HistogramEqualization filter = new HistogramEqualization(); // process image filter.ApplyInPlace(bmp); return bmp; }
// Process image private void ProcessImage(Bitmap bitmap) { // create filter HistogramEqualization hisFilter = new HistogramEqualization(); // process image //hisFilter.ApplyInPlace(Image); // create filter ContrastCorrection contrastFilter = new ContrastCorrection(4); // apply the filter contrastFilter.ApplyInPlace(bitmap); //QuantizeImage(bitmap); Grayscale grayscaleFilter = new Grayscale(0.33, 0.33, 0.34); // apply the filter Bitmap grayImage = grayscaleFilter.Apply(bitmap); // create filter SobelEdgeDetector sobelFilter = new SobelEdgeDetector(); // apply the filter sobelFilter.ApplyInPlace(grayImage); Threshold filter = new Threshold(110); // apply the filter filter.ApplyInPlace(grayImage); if (GetIntersect(grayImage, bitmap, intersectPoint)) { //MessageBox.Show("draw"); Graphics g = Graphics.FromImage(bitmap); //Sorting for (int i = 0; i < 19; i++) { for (int j = 0; j < 19; j++) { for (int k = 0; k < 19 - 1; k++) { if (Math.Abs(intersectPoint[1, i, k]) > Math.Abs(intersectPoint[1, i, k + 1])) { int tempX = Math.Abs(intersectPoint[0, i, k]); int tempY = Math.Abs(intersectPoint[1, i, k]); intersectPoint[0, i, k] = Math.Abs(intersectPoint[0, i, k + 1]); intersectPoint[1, i, k] = Math.Abs(intersectPoint[1, i, k + 1]); intersectPoint[0, i, k + 1] = tempX; intersectPoint[1, i, k + 1] = tempY; //MessageBox.Show(i + " " + k +" " +tempX + " " + tempY + " " + intersectPoint[0, i, k] + " " + intersectPoint[1, i, k] ,"ok", MessageBoxButtons.OK); } } } } for (int i = 0; i < 19; i++) { for (int j = 0; j < 19; j++) { for (int k = 0; k < 19 - 1; k++) { if (Math.Abs(intersectPoint[0, k, i]) > Math.Abs(intersectPoint[0, k + 1, i])) { int tempX = Math.Abs(intersectPoint[0, k, i]); int tempY = Math.Abs(intersectPoint[1, k, i]); intersectPoint[0, k, i] = intersectPoint[0, k + 1, i]; intersectPoint[1, k, i] = intersectPoint[1, k + 1, i]; intersectPoint[0, k + 1, i] = tempX; intersectPoint[1, k + 1, i] = tempY; } } } } Pen redPen = new Pen(Color.Red, 4); for (int i = 0; i < 19; i++) { for (int j = 0; j < 19; j++) { g.DrawEllipse(redPen, Math.Abs(intersectPoint[0, i, j]) , Math.Abs(intersectPoint[1, i, j]) , (int)5, (int)5); //g.DrawEllipse(redPen, 0, 0, (int)5, (int)5); //Debug.WriteLine((Math.Abs(intersectPoint[0, i, j]) - 2) + " " + (Math.Abs(intersectPoint[1, i, j]) - 2)); } } Pen greenPen = new Pen(Color.Green, 4); greenPen.Dispose(); redPen.Dispose(); g.Dispose(); // Initializes the variables to pass to the MessageBox.Show method. EspacioCamera.Image = bitmap; string message = "Do you accecpt this detection?"; string caption = "The system found totally 38 lines."; MessageBoxButtons buttons = MessageBoxButtons.YesNo; DialogResult result; // Displays the MessageBox. result = MessageBox.Show(message, caption, buttons); if (result == System.Windows.Forms.DialogResult.Yes) { // Closes the parent form. locked = true; } } EspacioCamera.Image = bitmap; }
public static void HistogramEqualization(this Bitmap image) { AForge.Imaging.Filters.HistogramEqualization filter = new AForge.Imaging.Filters.HistogramEqualization(); filter.ApplyInPlace(image); }
private void eqHistogram_Click(object sender, RoutedEventArgs e) { ClearTextBoxes(); brightness = 0; Brightness.Value = 0; if (eqHistogram.IsChecked == true) { HistogramEqualization filter = new HistogramEqualization(); filter.ApplyInPlace(mainPhoto); Photography.Source = ToBitmapImage(mainPhoto); } else { UpdatePicture(ImageURL); Photography.Source = ToBitmapImage(mainPhoto); } mainPhotoIS = Photography.Source; UpdateHistograms(null); UpdateChannelPreviews(null); }
// ========================================================= private void HistogramFunct(ref Bitmap frame) { // create filter HistogramEqualization filter = new HistogramEqualization(); // process image filter.ApplyInPlace(frame); }