private void DecodeBarcode()
{
var reader = new BarcodeReader();
while (true)
{
if (currentBitmapForDecoding != null)
{
currentBitmapForDecoding = gsFilter.Apply(currentBitmapForDecoding);
if (cbContrast.Checked)
{
csFilter.ApplyInPlace(currentBitmapForDecoding);
}
if (cbHistogram.Checked)
{
heFilter.ApplyInPlace(currentBitmapForDecoding);
}
if (btnThreshold.BackColor == Color.Green)
{
tsFilter.ApplyInPlace(currentBitmapForDecoding);
}
Invoke(new Action <Bitmap>(ShowFrame), currentBitmapForDecoding.Clone());
var result = reader.Decode(currentBitmapForDecoding);
if (result != null)
{
Invoke(new Action <Result>(ShowResult), result);
}
currentBitmapForDecoding.Dispose();
currentBitmapForDecoding = null;
}
Thread.Sleep(sleep);
}
}
private void button14_Click(object sender, EventArgs e)
{
var histogramEqualization = new HistogramEqualization();
histogramEqualization.ApplyInPlace(picture.bitmap);
pictureBox1.Image = picture.bitmap;
}
private void button4_Click(object sender, EventArgs e)
{
//Equalização de Histograma
HistogramEqualization hq = new HistogramEqualization();
hq.ApplyInPlace(bmp);
pb_Original.Image = bmp;
}
// =========================================================
private void HistogramFunct(ref Bitmap frame)
{
// create filter
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);
}
public Bitmap Equalize(Bitmap bmp)
{
HistogramEqualization filter = new HistogramEqualization();
// process image
filter.ApplyInPlace(bmp);
return(bmp);
}
/// <summary>
/// Change the pixel format of the bitmap image
/// </summary>
/// <param name="inputImage">Bitmapped image</param>
/// <param name="newFormat">Bitmap format - 24bpp</param>
/// <returns>Bitmap image</returns>
private static Bitmap ChangePixelFormat(Bitmap inputImage)
{
var img = inputImage.Clone(new Rectangle(0, 0, inputImage.Width, inputImage.Height), inputImage.PixelFormat);
var histogramEqualization = new HistogramEqualization();
var smoothing = new Mean();
histogramEqualization.ApplyInPlace(img);
smoothing.ApplyInPlace(img);
img = img.Clone(new Rectangle(0, 0, inputImage.Width, inputImage.Height), PixelFormat.Format24bppRgb);
return(img);
}
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");
}
public static List <Rectangle> DetectFaces(Bitmap image)
{
List <Rectangle> xfaces = new List <Rectangle>();
HaarObjectDetector detector;
detector = new HaarObjectDetector(new FaceHaarCascade(), 20, ObjectDetectorSearchMode.Average, 1.1f, ObjectDetectorScalingMode.SmallerToGreater);
detector.UseParallelProcessing = true;
detector.Suppression = 2;
var grayImage = Grayscale.CommonAlgorithms.BT709.Apply(image);
HistogramEqualization filter = new HistogramEqualization();
filter.ApplyInPlace(grayImage);
Rectangle[] faces = detector.ProcessFrame(grayImage);
xfaces.AddRange(faces);
return(xfaces);
}
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 ImageHistogram(Bitmap bmp) // 이미지 평활화 함수
{
HistogramEqualization filter = new HistogramEqualization();
filter.ApplyInPlace(bmp);
}
