//główne operacje na obrazie
public void ocr()
{
//otworzenie pliku
FileStream srcstream = new FileStream(pic_file, FileMode.Open, FileAccess.Read, FileShare.ReadWrite);
//stworzenie bitmapy
Bitmap source = new Bitmap(srcstream);
//zmiana ustawień webform
Panel1.Visible = false;
Image1.Dispose();
Label2.Text = "Processing...";
Panel3.Visible = true;
//Preperation code
Bitmap ext = source;
//AForge.Imaging.Filters.
//Przekształcenie obrazu na skalę odcieni szarości - testować dla obrazów o różnej kolorystyce(opracować system wyznaczania parametrów filtru na podstawie RGB zdjęcia)
AForge.Imaging.Filters.Grayscale grScl = new AForge.Imaging.Filters.Grayscale(0.2125, 0.0154, 0.0721 );
source = grScl.Apply(source);
//Zwiększenie kontrastu
AForge.Imaging.Filters.ContrastStretch conCor = new AForge.Imaging.Filters.ContrastStretch();
source = conCor.Apply(source);
//Wyostrzenie
AForge.Imaging.Filters.Sharpen shp = new AForge.Imaging.Filters.Sharpen();
source = shp.Apply(source);
//Segmentation code
bool procesed = false;
// Image2.Width = 350;
// Image2.Height = (int)((source.Height * 200) / source.Width);
try
{
Emgu.CV.Image<Bgr, Byte> to_rec = new Emgu.CV.Image<Bgr, byte>(source);
Do_ocr = new Tesseract("tessdata", "eng", Tesseract.OcrEngineMode.OEM_DEFAULT);
try
{
Do_ocr.Recognize<Bgr>(to_rec);
//recognizedText.Text = ocr.GetText();
PastOCRBox.Text = Do_ocr.GetText();
// StatusBox.Text = "Finished! Ready for next one...";
Do_ocr.Dispose();
to_rec.Dispose();
}
catch (Exception exp)
{
Label2.Text = "Recognition error! " + exp.Message;
Do_ocr.Dispose();
return;
}
}
catch (Exception exp)
{
Label2.Text = "OCR engine failed! " + exp.Message;
return;
}
//czyszczenie z plików tymczasowych
// source.Save("D:\\test.bmp");
// ext.Save("D:\\testcor.bmp");
source.Dispose();
srcstream.Close();
srcstream.Dispose();
//System.IO.File.Delete(pic_file);
System.IO.File.Delete(Server.MapPath("~/img/prev.bmp"));
System.IO.File.Delete(Server.MapPath("~/img/tmp.bmp"));
//przygotować wygląd strony po rozpoznawaniu
Panel3.Visible = false;
Label1.Visible = false;
Panel0.Visible = false;
Panel5.Visible = false;
Panel4.Visible = true;
}
public Bitmap Process(Bitmap image)
{
Bitmap filteredImage = convertFormatTo32(image);
if (filterLevel >= 0)
{
filteredImage = resize(filteredImage, ImageSize.Width, ImageSize.Height);
}
if (filterLevel >= 1)
{
if (ContrastStretch)
{
AForge.Imaging.Filters.ContrastStretch stretcher = new AForge.Imaging.Filters.ContrastStretch();
filteredImage = stretcher.Apply(filteredImage);
}
if (Histogram)
{
AForge.Imaging.Filters.HistogramEqualization histogrammer = new AForge.Imaging.Filters.HistogramEqualization();
filteredImage = histogrammer.Apply(filteredImage);
}
if (Gaussian)
{
AForge.Imaging.Filters.GaussianBlur blurrer = new AForge.Imaging.Filters.GaussianBlur();
blurrer.Size = (int)GaussianStrength;
filteredImage = blurrer.Apply(filteredImage);
}
if (ContrastAdjustment)
{
AForge.Imaging.Filters.ContrastCorrection contraster = new AForge.Imaging.Filters.ContrastCorrection();
contraster.Factor = (float)ContrastStrength;
filteredImage = contraster.Apply(filteredImage);
}
if (Greyscale)
{
filteredImage = AForge.Imaging.Filters.Grayscale.CommonAlgorithms.BT709.Apply(filteredImage);
//Greyscale downgrades format
// filteredImage = convertFormatTo32(filteredImage.InternalBitmap);
}
if (Threshold)
{
//filteredImage.InternalBitmap = convertFormatToGS(filteredImage.InternalBitmap);
AForge.Imaging.Filters.Threshold thresholder = new AForge.Imaging.Filters.Threshold();
thresholder.ThresholdValue = (int)(((double)ThresholdStrength / 10.0) * 255.0);
filteredImage = thresholder.Apply(filteredImage);
}
if (Bradley)
{
AForge.Imaging.Filters.BradleyLocalThresholding bradlifier = new AForge.Imaging.Filters.BradleyLocalThresholding();
filteredImage = bradlifier.Apply(filteredImage);
}
}
return filteredImage;
}
