public Bitmap GrayScale(System.Drawing.Image imgOrigin)
{
Bitmap bmp = (Bitmap)imgOrigin.Clone();
Grayscale _filterGray = new Grayscale(0.2125, 0.7154, 0.0721);
Threshold filter = new Threshold(100);
//filter.ApplyInPlace(bmp);
bmp = _filterGray.Apply(bmp);
return(bmp);
}
// The video_NewFrame used in the example above could be defined as:
private void video_NewFrame2(object sender, NewFrameEventArgs eventArgs)
{
// get new frame
Bitmap bitmap = eventArgs.Frame;
// Apply the filter we have cached outside:
Bitmap grayBitmap = grayscale.Apply(bitmap);
// process the frame (you can do anything with it, such as running an
// image processing filter, saving it to disk, showing on screen, etc)
}
public Bitmap processImage(Bitmap img)
{
Grayscale filter = new Grayscale(0.2125, 0.7154, 0.0721);
Bitmap grayimage = filter.Apply(img);
Threshold th = new Threshold();
th.ApplyInPlace(grayimage);
return(grayimage);
}
private static Bitmap PreProcess(Bitmap bmp)
{
Grayscale gfilter = new Grayscale(0.2125, 0.7154, 0.0721);
Invert ifilter = new Invert();
BradleyLocalThresholding thfilter = new BradleyLocalThresholding();
bmp = gfilter.Apply(bmp);
thfilter.ApplyInPlace(bmp);
ifilter.ApplyInPlace(bmp);
return(bmp);
}
public static BitmapImage MakeFFTMagnitude(Bitmap image)
{
Grayscale filter = new Grayscale(0.2125, 0.7154, 0.0721);
Bitmap grayImage = filter.Apply(image);
ComplexImage compleximage = ComplexImage.FromBitmap(grayImage);
compleximage.ForwardFourierTransform();
Bitmap fi = compleximage.ToBitmap();
return(ToBitmapImage(fi));
}
// source
// http://stackoverflow.com/questions/35980717/why-doesnt-aforge-net-blobcounter-getobjectsinformation-detect-objects
private Bitmap PreProcess(Bitmap bmp)
{
//Those are AForge filters "using Aforge.Imaging.Filters;"
Grayscale gfilter = new Grayscale(0.2125, 0.7154, 0.0721);
Invert ifilter = new Invert();
BradleyLocalThresholding thfilter = new BradleyLocalThresholding();
bmp = gfilter.Apply(bmp);
thfilter.ApplyInPlace(bmp);
ifilter.ApplyInPlace(bmp);
return(bmp);
}
private void video_NewFrame(object sender, NewFrameEventArgs eventArgs)
{
Bitmap img = FilterResize.Apply((Bitmap)eventArgs.Frame.Clone());
pictureBox1.Image = (Bitmap)img.Clone();
Grayscale FilterGrayscale = new Grayscale(red, green, blue);
img = FilterGrayscale.Apply((Bitmap)img.Clone());
pictureBox2.Image = (Bitmap)img.Clone();
SobelEdgeDetector FilterSobelEdgeDetector = new SobelEdgeDetector();
img = FilterSobelEdgeDetector.Apply((Bitmap)img.Clone());
pictureBox3.Image = (Bitmap)img.Clone();
pictureBox5.Image = (Bitmap)img.Clone();
pictureBox8.Image = (Bitmap)img.Clone();
if (mutex)
{
gest = (Bitmap)img.Clone();
mutex = false;
pictureBox11.Image = (Bitmap)gest.Clone();
}
float sim = 0;
ExhaustiveTemplateMatching tm = new ExhaustiveTemplateMatching(0.5f);
TemplateMatch[] matchings;
Bitmap overlay = (Bitmap)img.Clone();
Add AddFilter = new Add(overlay);
if (gest != null)
{
overlay = AddFilter.Apply((Bitmap)gest.Clone());
}
pictureBox9.Image = (Bitmap)overlay.Clone();
matchings = tm.ProcessImage(img, overlay);
if (matchings.Length > 0)
{
sim = matchings[0].Similarity;
}
this.label4.BeginInvoke((MethodInvoker)(() => this.label4.Text = Convert.ToString(sim)));
}
//public void TranformImage(string outputFileName)
//{
// /*
// BaseUsingCopyPartialFilter[] detectors = new BaseUsingCopyPartialFilter[]
// {
// new HomogenityEdgeDetector(),
// new CannyEdgeDetector(),
// new DifferenceEdgeDetector(),
// new SobelEdgeDetector()
// };
// for (int i = 0; i < detectors.Length; i++)
// {
// BaseUsingCopyPartialFilter detector = detectors[i];*/
// //using (Bitmap newBmp = new Bitmap(image))
// List<IntPoint> corners;
// using (Bitmap edgesBitmap = image.Clone(new Rectangle(0, 0, image.Width, image.Height), PixelFormat.Format8bppIndexed))
// {
// DifferenceEdgeDetector detector = new DifferenceEdgeDetector();
// detector.ApplyInPlace(edgesBitmap);
// QuadrilateralFinder qf = new QuadrilateralFinder();
// corners = qf.ProcessImage(edgesBitmap);
// // AdaptiveSmoothing filter = new AdaptiveSmoothing();
// //filter.ApplyInPlace(targetBmp);
// //Threshold filter = new Threshold(100);
// //filter.ApplyInPlace(targetBmp);
// edgesBitmap.Save(@"D:\k\trash\CornersTest.jpg");
// //return;
// }
// //Invert invertFilter = new Invert();
// //Bitmap invertedImage = invertFilter.Apply(image);
// //Bitmap edgesBitmap = new Bitmap(image);
// //HomogenityEdgeDetector detector = new HomogenityEdgeDetector();
// //detector.ApplyInPlace(edgesBitmap);
// int boundingSquareSideLength = GetBoundingSquareSideLength(corners);
// QuadrilateralTransformation transformation = new QuadrilateralTransformation(corners, boundingSquareSideLength, boundingSquareSideLength);
// Bitmap bmp2 = transformation.Apply(image);
// Grayscale grayscale = new Grayscale(0.2125, 0.7154, 0.0721);
// bmp2 = grayscale.Apply(bmp2);
// //bmp2.Save(outputFileName);
// //using (Bitmap bmp2 = image.Clone(new Rectangle(0, 0, image.Width, image.Height), PixelFormat.Format16bppGrayScale))
// {
// Threshold filter = new Threshold(220);
// filter.ApplyInPlace(bmp2);
// bmp2.Save(outputFileName);
// }
// //Bitmap newImage = transformation.Apply(image);
// //newImage.Save(outputFileName);
// //using (Graphics g = Graphics.FromImage(image))
// //{
// // int len = 2;
// // foreach (IntPoint corner in corners)
// // {
// // image.SetPixel(corner.X, corner.Y, Color.White);
// // //g.
// // //g.FillEllipse(Brushes.Red, corner.X -len, corner.Y + len, corner.X + len, corner.Y - len);
// // }
// // //image.Save(@"D:\k\trash\CornersTest"+i+".jpg");
// //}
// // }
// //QuadrilateralTransformation transformation = new QuadrilateralTransformation(corners);
// //QuadrilateralTransformation transformation = new QuadrilateralTransformation(corners, invertedImage.Width, invertedImage.Height);
// //Bitmap newImage = transformation.Apply(image);
// //newImage.Save(outputFileName);
//}
public static Bitmap ConvertToGreyscale(Bitmap bitmap)
{
Grayscale grayscale = new Grayscale(0.2125, 0.7154, 0.0721);
if (bitmap.PixelFormat == PixelFormat.Format8bppIndexed)
{
return((Bitmap)(bitmap.Clone()));
}
return(grayscale.Apply(bitmap));
//return bitmap.Clone(new Rectangle(0, 0, bitmap.Width, bitmap.Height), PixelFormat.Format8bppIndexed);
}
/// <summary>
/// 设置图片为黑白色
/// </summary>
/// <param name="img"></param>
/// <returns></returns>
public static System.Drawing.Image BlackWhitePhoto(Bitmap map)
{
if (map.PixelFormat != PixelFormat.Format8bppIndexed)
{
var bitmap = ReplaceBackgroundColor(map, Color.White);
Grayscale g = new Grayscale(0.2125, 0.7154, 0.0721);
bitmap = g.Apply(bitmap);
BradleyLocalThresholding filter = new BradleyLocalThresholding();
filter.ApplyInPlace(bitmap);
return(bitmap);
}
return(map);
}
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);
}
public static Bitmap ConvertToGrayScale(this Bitmap sourceImage)
{
var filter = new Grayscale(0.2125, 0.7154, 0.0721);
if (Image.IsGrayscale(sourceImage))
{
return(sourceImage);
}
Bitmap converted = filter.Apply(sourceImage);
return(converted);
}
public static Bitmap ApplyPreProcessing(Bitmap image, int thresholdvalue)
{
Bitmap grayImage = image;
if (!AForge.Imaging.Image.IsGrayscale(image))
{
Grayscale filter = new Grayscale(0.2125, 0.7154, 0.0721);
grayImage = filter.Apply(image);
}
AForge.Imaging.Filters.Invert invert = new Invert();
AForge.Imaging.Filters.Threshold thresh_hold = new Threshold(thresholdvalue);
image = invert.Apply(thresh_hold.Apply(grayImage));
return(image);
}
public void Create(Bitmap img, string name)
{
Bitmap bmp = (Bitmap)img.Clone();
Grayscale FilterGrayscale = new Grayscale(Data.Red, Data.Green, Data.Blue);
SobelEdgeDetector FilterSobelEdgeDetector = new SobelEdgeDetector();
bmp = FilterGrayscale.Apply(bmp);
bmp = FilterSobelEdgeDetector.Apply(bmp);
bmp.Save(Data.Path + "/" + name + ".jpg", ImageFormat.Jpeg);
Gesture.Update_Base();
}
void kamera_ProsesFrame3(object sender, NewFrameEventArgs eventArgs)
{
frame = (Bitmap)eventArgs.Frame.Clone();
frame2 = (Bitmap)eventArgs.Frame.Clone();
pictureBox1.Image = frame;
// create filter
Grayscale filter = new Grayscale(0.2125, 0.7154, 0.0721);
Bitmap grayImage = filter.Apply(frame2);
Threshold filter2 = new Threshold(100);
// apply the filter
pictureBox2.Image = filter2.Apply(grayImage);
}
public Bitmap Filter(Bitmap input_image)
{
Grayscale gray_filter = new Grayscale(0.2125, 0.7154, 0.0721);
BradleyLocalThresholding threshold_filter = new BradleyLocalThresholding();
threshold_filter.PixelBrightnessDifferenceLimit = 0.5f;
ResizeBicubic scale_small_filter = new ResizeBicubic(28, 28);
Crop crop_filter = new Crop(new Rectangle(51, 51, 199, 199));
BlobCounter blober = new BlobCounter();
blober.FilterBlobs = true;
blober.ObjectsOrder = ObjectsOrder.Size;
Bitmap image = gray_filter.Apply(input_image);
image = threshold_filter.Apply(image);
image = crop_filter.Apply(image);
//blober.ProcessImage(image);
//Blob[] blobs = blober.GetObjectsInformation();
//if (blobs.Length > 0)
//{
// var bigger = blobs[0];
// UnmanagedImage img = UnmanagedImage.FromManagedImage(image);
// blober.ExtractBlobsImage(img, bigger, false);
// Accord.Point mc = bigger.CenterOfGravity;
// Accord.Point ic = new Accord.Point((float)bigger.Image.Width / 2, (float)bigger.Image.Height / 2);
// float AngleRad = (ic.Y - mc.Y) / (ic.X - mc.X);
// float Angle = (float)(AngleRad * 180 / Math.PI);
// image = img.ToManagedImage();
// RotateBicubic rot_filter = new RotateBicubic(Angle);
// image = rot_filter.Apply(image);
//}
image = scale_small_filter.Apply(image);
return(image);
}
public static Bitmap Orient_Hough(Bitmap blob)
{
GC.Collect();
Grayscale filter = new Grayscale(0.2125, 0.7154, 0.0721);
Bitmap documentImage = filter.Apply(blob);
//Bitmap documentImage = AForge.Imaging.Image.Clone(blob, PixelFormat.Format16bppGrayScale); //force the jpgs
// create instance of skew checker
DocumentSkewChecker skewChecker = new DocumentSkewChecker();
// get documents skew angle
double angle = skewChecker.GetSkewAngle(documentImage);
// rotate image applying the filter
return(RotateImg(blob, (int)-angle, Color.Transparent));
}
private void otsuToolStripMenuItem_Click(object sender, EventArgs e)
{
OtsuThreshold otsuFilter = new OtsuThreshold(); //Фильтр, котор
Grayscale grayFilter = new Grayscale(0.2125, 0.7154, 0.0721);
Bitmap srcBitmap = new Bitmap(sourcePictureBox.Image);
Bitmap grayImage = grayFilter.Apply(srcBitmap);
int threshold = otsuFilter.CalculateThreshold(grayImage, new Rectangle(0, 0, grayImage.Width, grayImage.Height)) + trackBar1.Value;
int delta = 10;
Threshold filter = new Threshold(threshold - delta);
filter.ApplyInPlace(grayImage);
resultPictureBox.Image = grayImage;
chart1.Series[0].Points.DataBindY(calculateChart(grayImage));
}
public Bitmap FindTextBitmap()
{
Bitmap textBmp = new Bitmap(sets.BmpTextWidth, sets.BmpTextHeight);
textBmp = sourceImage.Clone(new Rectangle(match.X + sets.TextMarginRight, match.Y + sets.TextMarginTop, sets.BmpTextWidth, sets.BmpTextHeight), PixelFormat.Format24bppRgb);
Grayscale gs = new Grayscale(0.2125, 0.7154, 0.0721);
SISThreshold th = new SISThreshold();
BinaryErosion3x3 bs = new BinaryErosion3x3();
ColorFiltering cf = new ColorFiltering();
cf.Red = new IntRange(90, 160);
cf.Green = new IntRange(55, 110);
cf.Blue = new IntRange(15, 85);
cf.ApplyInPlace(textBmp);
//for (int i = 0; i < textBmp.Width; i++)
//{
// for (int j = 0; j < textBmp.Height; j++)
// {
// if (((textBmp.GetPixel(i, j).R > 95) && (textBmp.GetPixel(i, j).R < 155)) && ((textBmp.GetPixel(i, j).G > 60) && (textBmp.GetPixel(i, j).G > 105)) && ((textBmp.GetPixel(i, j).B > 20 && (textBmp.GetPixel(i, j).B < 80))))
// {
// textBmp.SetPixel(i, j, Color.Black);
// }
// else
// {
// textBmp.SetPixel(i, j, Color.White);
// }
// }
//}
BilateralSmoothing bss = new BilateralSmoothing();
bss.KernelSize = 7;
bss.SpatialFactor = 5;
bss.ColorFactor = 30;
bss.ColorPower = 0.5;
bss.ApplyInPlace(textBmp);
textBmp = gs.Apply(textBmp);
th.ApplyInPlace(textBmp);
//bs.ApplyInPlace(textBmp);
//erose.ApplyInPlace(textBmp);
return(textBmp);
}
public void ProcessImage(Bitmap input_image)
{
lock (balanceLock)
{
int side = Math.Min(input_image.Height, input_image.Width);
Rectangle cropRect = new Rectangle(0, 0, side, side); // this is square that represents feed from camera
g.DrawImage(input_image, new Rectangle(0, 0, input_image.Width, input_image.Height), cropRect, GraphicsUnit.Pixel); // place it on original bitmap
// set new processed
if (processed != null)
{
processed.Dispose();
}
// Конвертируем изображение в градации серого
processed = grayFilter.Apply(AForge.Imaging.UnmanagedImage.FromManagedImage(original));
// Пороговый фильтр применяем. Величина порога берётся из настроек, и меняется на форме
threshldFilter.PixelBrightnessDifferenceLimit = ThresholdValue;
threshldFilter.ApplyInPlace(processed);
InvertFilter.ApplyInPlace(processed);
Blober.ProcessImage(processed);
AForge.Imaging.Blob[] blobs = Blober.GetObjectsInformation();
BlobCount = blobs.Length;
if (blobs.Length > 0)
{
var BiggestBlob = blobs[0];
Recongnised = true;
Blober.ExtractBlobsImage(processed, BiggestBlob, false);
processed = BiggestBlob.Image;
AForge.Point mc = BiggestBlob.CenterOfGravity;
AForge.Point ic = new AForge.Point((float)BiggestBlob.Image.Width / 2, (float)BiggestBlob.Image.Height / 2);
AngleRad = (ic.Y - mc.Y) / (ic.X - mc.X);
Angle = (float)(Math.Atan(AngleRad) * 180 / Math.PI);
}
else
{
// TODO make arrengaments for No blobs case
Recongnised = false;
Angle = 0;
AngleRad = -1;
}
if (number != null)
{
number.Dispose();
}
number = processed.ToManagedImage();
}
}
private void segmentTextToolStripMenuItem_Click(object sender, EventArgs e)
{
IOperation operation = new Grayscale();
m_image = operation.Apply(m_image);
operation = new IncreaseContrast();
m_image = operation.Apply(m_image);
operation = new LocalThreshold(10, 10);
m_image = operation.Apply(m_image);
pictureBox1.Image = m_image.ExportBitmap();
}
public void applyfilter1(IFilter filter)
{
try
{
Grayscale g = new Grayscale(0.2125, 0.7154, 0.0721);
image = g.Apply(image);
Bitmap newImage = filter.Apply(image);
pictureBox2.Image = newImage;
}
catch (ArgumentException)
{
MessageBox.Show("Selected filter can not be applied to the image", "Error", MessageBoxButtons.OK, MessageBoxIcon.Error);
}
}
private void edgeDetect(ushort j)
{
cvsbmp = UtilFn.BitmapImage2Bitmap(images[j]);
Grayscale gfilter = new Grayscale(0.2125, 0.7154, 0.0721);
Bitmap grayImage = gfilter.Apply(cvsbmp);
GaborFilter filter = new GaborFilter();
Bitmap output = filter.Apply(grayImage);
imagesEdited.Add(converter.Convert(output, Type.GetType("BitmapImage"), null, null) as BitmapImage);
}
private void button4_Click(object sender, EventArgs e)
{
Grayscale grayfilter = new Grayscale(0.2125, 0.7154, 0.0721);
Bitmap edgeImg = grayfilter.Apply(img1);
OtsuThreshold filter = new OtsuThreshold();
filter.ApplyInPlace(edgeImg);
CannyEdgeDetector filter2 = new CannyEdgeDetector();
img2 = filter2.Apply(edgeImg);
pictureBox2.Image = img2;
}
private void ProcessImage()
{
m_selectedBlobs.Clear();
pictureBox1.Controls.Clear();
pictureBox1.Image = null;
if (m_original != null)
{
m_original.Dispose();
}
if (m_binarized != null)
{
m_binarized.Dispose();
}
m_original = new Bitmap(txtFile.Text);
// create grayscale filter (BT709)
Grayscale filter = new Grayscale(0.2125, 0.7154, 0.0721);
m_binarized = filter.Apply(m_original);
// Binarize Picture.
Threshold bin = new Threshold((int)txtBinThershold.Value);
bin.ApplyInPlace(m_binarized);
// create filter
Invert inv = new Invert();
inv.ApplyInPlace(m_binarized);
// create an instance of blob counter algorithm
BlobCounter bc = new BlobCounter();
bc.ObjectsOrder = ObjectsOrder.XY;
bc.ProcessImage(m_binarized);
Rectangle[] blobsRect = bc.GetObjectsRectangles();
Dictionary <int, List <Rectangle> > orderedBlobs = ReorderBlobs(blobsRect);
foreach (KeyValuePair <int, List <Rectangle> > orderedBlob in orderedBlobs)
{
orderedBlob.Value.ForEach(r => AddBlobPanel(orderedBlob.Key, r));
}
pictureBox1.Image = chkShowBinarize.Checked ? m_binarized : m_original;
pictureBox1.Invalidate();
}
void FinalFrame_NewFrame(object sender, NewFrameEventArgs eventArgs)
{
video = (Bitmap)eventArgs.Frame.Clone();
Bitmap video2 = (Bitmap)eventArgs.Frame.Clone();
if (mode == 1)
{
Grayscale gray = new Grayscale(0.2125, 0.7154, 0.0721);
Bitmap video3 = gray.Apply(video2);
CannyEdgeDetector canny = new CannyEdgeDetector(0, 70);
canny.ApplyInPlace(video3);
pictureBox2.Image = video3;
}
pictureBox1.Image = video;
}
/// <summary>
/// Get binarized image
/// </summary>
public System.Drawing.Image GetBinarizedImage()
{
if (this.m_disposed)
{
throw new ObjectDisposedException("ImageProcessor");
}
if (!this.IsScannable)
{
throw new InvalidOperationException("Form doesn't have sufficient control information to perform this operation");
}
Grayscale grayFilter = new Grayscale(255, 255, 255);
return(grayFilter.Apply(this.m_bitmap));
}
void GrayscaleToolStripMenuItemClick(object sender, EventArgs e)
{
//jika gambar kosong/null maka akan mengembalikan nilai kosong/null
if (gambar == null)
{
return;
}
//membuat filter dari inisiasi class Grayscale() dengan 3 argumen pada objek grayscale
Grayscale grayscale = new Grayscale(0.2125, 0.7154, 0.0721);
//aplikasikan filter objek grayscale pada gambar lalu diinisiasi ke gambar2
gambar2 = grayscale.Apply(gambar);
//tampilkan hasil gambar2 yang sudah diaplikasikan filter pada pictureBox2
pictureBox2.Image = gambar2;
}
private void imageLoad_Click(object sender, RoutedEventArgs e)
{
Microsoft.Win32.OpenFileDialog dlg = new Microsoft.Win32.OpenFileDialog
{
Filter = "Pliki graficzne|*.bmp; *.png; *.jpg; *.gif; *.jpeg"
};
Nullable <bool> result = dlg.ShowDialog();
if (result == true)
{
Bitmap b = new Bitmap(dlg.FileName);
Grayscale filterG = new Grayscale(0.2125, 0.7154, 0.0721);
Bitmap grayImage = b;
if (b.PixelFormat != PixelFormat.Format8bppIndexed)
{
grayImage = filterG.Apply(b);
IterativeThreshold filter = new IterativeThreshold(2, 128);
filter.ApplyInPlace(grayImage);
}
image.Source = BitmapToImageSource(grayImage);
var path = Path.GetDirectoryName(dlg.FileName);
var filename = Path.GetFileNameWithoutExtension(dlg.FileName);
var extension = Path.GetExtension(dlg.FileName);
imageFileName = new string[] { path, filename, extension };
Bitmap[] shares = null;
if (twoPixels.IsChecked == true)
{
shares = twoPixelsF(grayImage);
}
else if (fourPixels.IsChecked == true)
{
shares = fourPixelsF(grayImage);
}
else
{
showAlert("Nieoczekiwany błąd. Pole obok nie zostało zaznaczone.");
}
showAlert("Udziały zostały automatycznie zapisane w folderze: " + imageFileName[0]);
if (shares != null)
{
firstShare.Source = BitmapToImageSource(shares[0]);
secondShare.Source = BitmapToImageSource(shares[1]);
}
}
}
public Bitmap GreyImage(Bitmap bmp)
{
try
{
// create grayscale filter (BT709)
Grayscale filter = new Grayscale(0.2125, 0.7154, 0.0721);
// apply the filter
Bitmap greyedImage = filter.Apply(bmp);
return(greyedImage);
}
catch (AForge.Imaging.UnsupportedImageFormatException)
{
return(bmp);
}
}
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);
}