private void cBFilters_SelectedIndexChanged(object sender, EventArgs e)
{
Bitmap pictureTransform = (Bitmap)pbChoose.Image;
if ((string)cBFilters.SelectedItem == "HSL_Filter")
{
AForge.Imaging.Filters.SaturationCorrection filter = new SaturationCorrection(0.1);
Bitmap newImage = filter.Apply(pictureTransform);
pbChoose.SizeMode = PictureBoxSizeMode.CenterImage;
pBNew.Image = newImage;
}
if ((string)cBFilters.SelectedItem == "Mediana")
{
AForge.Imaging.Filters.Median filter = new Median();
Bitmap newImage = filter.Apply(pictureTransform);
pbChoose.SizeMode = PictureBoxSizeMode.CenterImage;
pBNew.Image = newImage;
}
/*if ((string)cBFilters.SelectedItem == "Fourier_Transformation")
{
Complex[] dst = new Complex[n];
AForge.Math.FourierTransform filter = AForge.Math.FourierTransform.DFT();// .FromBitmap(pictureTransform);
Bitmap newImage = filter.Apply();
pbChoose.SizeMode = PictureBoxSizeMode.CenterImage;
pBNew.Image = newImage;
}*/
if ((string)cBFilters.SelectedItem == "Binarization")
{
pictureTransform = Grayscale.CommonAlgorithms.BT709.Apply(pictureTransform);
Threshold threshold = new Threshold(127);
threshold.ApplyInPlace(pictureTransform);
pbChoose.SizeMode = PictureBoxSizeMode.CenterImage;
pBNew.Image = pictureTransform;
}
if ((string)cBFilters.SelectedItem == "Grayscale")
{
AForge.Imaging.Filters.Grayscale filter = new AForge.Imaging.Filters.Grayscale(0.2125, 0.7154, 0.0721);
Bitmap newImage = filter.Apply(pictureTransform);
pbChoose.SizeMode = PictureBoxSizeMode.CenterImage;
pBNew.Image = newImage;
}
if ((string)cBFilters.SelectedItem == "FillHoles")
{
pictureTransform = Grayscale.CommonAlgorithms.BT709.Apply(pictureTransform);
Threshold threshold = new Threshold(127);
threshold.ApplyInPlace(pictureTransform);
AForge.Imaging.Filters.FillHoles filter = new AForge.Imaging.Filters.FillHoles();
filter.MaxHoleHeight = 5;
filter.MaxHoleWidth = 15;
filter.CoupledSizeFiltering = false;
Bitmap newImage = filter.Apply(pictureTransform);
pbChoose.SizeMode = PictureBoxSizeMode.CenterImage;
pBNew.Image = newImage;
}
if ((string)cBFilters.SelectedItem == "Opening")
{
AForge.Imaging.Filters.Opening filter = new AForge.Imaging.Filters.Opening();
Bitmap newImage = filter.Apply(pictureTransform);
pbChoose.SizeMode = PictureBoxSizeMode.CenterImage;
pBNew.Image = newImage;
}
if ((string)cBFilters.SelectedItem == "Closing")
{
AForge.Imaging.Filters.Closing filter = new AForge.Imaging.Filters.Closing();
Bitmap newImage = filter.Apply(pictureTransform);
pbChoose.SizeMode = PictureBoxSizeMode.CenterImage;
pBNew.Image = newImage;
}
if ((string)cBFilters.SelectedItem == "Erosion")
{
AForge.Imaging.Filters.Erosion filter = new AForge.Imaging.Filters.Erosion();
Bitmap newImage = filter.Apply(pictureTransform);
pbChoose.SizeMode = PictureBoxSizeMode.CenterImage;
pBNew.Image = newImage;
}
if ((string)cBFilters.SelectedItem == "Dilatation")
{
AForge.Imaging.Filters.Dilatation filter = new AForge.Imaging.Filters.Dilatation();
Bitmap newImage = filter.Apply(pictureTransform);
pbChoose.SizeMode = PictureBoxSizeMode.CenterImage;
pBNew.Image = newImage;
}
if ((string)cBFilters.SelectedItem == "Edges")
{
AForge.Imaging.Filters.Edges filter = new AForge.Imaging.Filters.Edges();
Bitmap newImage = filter.Apply(pictureTransform);
pbChoose.SizeMode = PictureBoxSizeMode.CenterImage;
pBNew.Image = newImage;
}
}
public VideoProcessor()
{
background = null;
pixelateFilter = new Pixellate();
pixelateFilter.PixelSize = 10;
differenceFilter = new Difference();
thresholdFilter = new Threshold(15);
grayscaleFilter = new Grayscale(0.2125, 0.7154, 0.0721);
erosionFilter = new Erosion();
moveTowardsFilter = new MoveTowards();
filters1 = new FiltersSequence();
filters1.Add(pixelateFilter);
filters1.Add(grayscaleFilter);
filters2 = new FiltersSequence();
filters2.Add(differenceFilter);
filters2.Add(thresholdFilter);
filters2.Add(erosionFilter);
rat1 = new Tracker(640 / 2, 480 / 2, Color.Red);
rat2 = new Tracker(400, 300, Color.Green);
counter = 0;
}
public void GenerateThumbnails(ThumbnailGenerationParameters parameters)
{
var textureConverterFactory = new TextureConverterFactory();
using (var textureConverter = textureConverterFactory.Create()) {
IFilter grayscaleFilter = new Grayscale(0.3, 0.59, 0.11);
IInPlaceFilter edgeDetectionFilter = new HomogenityEdgeDetector();
SliceRatingCalculator ratingCalculator = new SliceRatingCalculator();
var utilities = new ThumbnailGeneratorUtilities(textureConverter);
var slicePicker = new SlicePicker(grayscaleFilter, edgeDetectionFilter, ratingCalculator, utilities);
var aspectRatio = 16 / (double)9;
var sliceCount = 5;
var resultWidth = 400;
var resultHeight = (int)(resultWidth / aspectRatio);
var sliceWidth = resultWidth / sliceCount;
var bitmaps = utilities.EnumerateBitmapsRandomly(parameters.SourceDirectory).Take(100).ToList();
var slices = slicePicker.PickSlices(bitmaps, new Size(sliceWidth, resultHeight));
var sliceCombiner = new SliceCombiner(utilities, grayscaleFilter);
for (var i = 0; i < parameters.ThumbnailsToGenerate; i++) {
var bitmap = sliceCombiner.CombineSlices(slices, kSlicesPerThumbnail);
using (var ms = new MemoryStream()) {
bitmap.Save(ms, ImageFormat.Jpeg);
ms.Position = 0;
var hash = MD5.Create().ComputeHash(ms).ToHex();
var outputName = hash + "_" + DateTime.UtcNow.GetUnixTime().ToString() + ".jpg";
var outputPath = Path.Combine(parameters.DestinationDirectory, outputName);
ms.Position = 0;
using (var fs = File.OpenWrite(outputPath)) {
ms.CopyTo(fs);
}
}
}
}
}
static ImageProcessor()
{
imageQuantizer = new ColorImageQuantizer(new MedianCutQuantizer());
grayscale = Grayscale.CommonAlgorithms.BT709;
edgeDetector = new CannyEdgeDetector();
}
private void button1_Click(object sender, EventArgs e)
{
//Grayscale
Bitmap b = new Bitmap(pictureBox2.Image);
b = new Grayscale(0.299, 0.587, 0.114).Apply(b);
this.pictureBox2.Image = b;
}
private Bitmap preProcessImage(Bitmap image, Grayscale gScale, SobelEdgeDetector sEgDetector, SimplePosterization posterization)
{
Bitmap temp = image;
temp = gScale.Apply(temp);
posterization.ApplyInPlace(temp);
return temp;
}
public BitmapSource Apply(BitmapSource image)
{
var filter = new DocumentSkewChecker();
var bitmap = image.ToBitmap();
var grayscale = new Grayscale(0.2125, 0.7154, 0.0721).Apply(bitmap);
var angle = filter.GetSkewAngle(grayscale);
var rotationFilter = new RotateBilinear(-angle);
return rotationFilter.Apply(grayscale).ToBitmapImage();
}
private void grayscaleButton_Click(object sender, RoutedEventArgs e)
{
Bitmap temp = Compatibility.Compatibility.BitmapImageToBitmap((BitmapImage)image1.Source.Clone());
// create grayscale filter (BT709)
Grayscale filter = new Grayscale(0.2125, 0.7154, 0.0721);
// apply the filter
grayImage = filter.Apply(temp);
bi = Compatibility.Compatibility.BitmapToBitmapImage(grayImage);
image1.Source = bi;
}
private void button2_Click(object sender, EventArgs e)
{
Bitmap b = new Bitmap(pictureBox2.Image);
// b = new Grayscale(0.7, 0.2, 0.1).Apply(b);
b = new Grayscale(0.299, 0.587, 0.114).Apply(b);
b = new Threshold(50).Apply(b);
this.pictureBox2.Image = b;
}
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;
}
private Bitmap filter()
{
Bitmap filtered_image;
AForge.Imaging.Filters.Grayscale gr = new AForge.Imaging.Filters.Grayscale(0.2125, 0.7154, 0.0721);
AForge.Imaging.Filters.Threshold th = new AForge.Imaging.Filters.Threshold(100);
AForge.Imaging.Filters.Invert invert = new AForge.Imaging.Filters.Invert();
filtered_image = gr.Apply(scanned_image);
filtered_image = invert.Apply(filtered_image);
filtered_image = th.Apply(filtered_image);
return filtered_image;
}
private Bitmap filter()
{
Bitmap filtered_image;
AForge.Imaging.Filters.Grayscale gr = new AForge.Imaging.Filters.Grayscale(0.2125, 0.7154, 0.0721);
AForge.Imaging.Filters.Threshold th = new AForge.Imaging.Filters.Threshold(100);
AForge.Imaging.Filters.Invert invert = new AForge.Imaging.Filters.Invert();
filtered_image = gr.Apply(scanned_image);
filtered_image = invert.Apply(filtered_image);
filtered_image = th.Apply(filtered_image);
return(filtered_image);
}
public static Bitmap DoIt(Bitmap bmp)
{
GaussianBlur blur = new GaussianBlur(10, 50);
Bitmap blurred = blur.Apply(bmp);
Bitmap ret = new Bitmap(blurred.Width, blurred.Height, blurred.PixelFormat);
for (int y = 0; y < blurred.Height; y++)
{
for (int x = 0; x < blurred.Width; x++)
{
Color blurredColor = blurred.GetPixel(x, y);
Color orinalColor = bmp.GetPixel(x, y);
Color newColor = Color.FromArgb((blurredColor.R + orinalColor.R * 2) / 3,
(blurredColor.G + orinalColor.G * 2) / 3,
(blurredColor.B + orinalColor.B * 2) / 3);
ret.SetPixel(x, y, newColor);
}
}
GammaCorrection gc = new GammaCorrection(.8);
gc.ApplyInPlace(ret);
Sharpen sharpen = new Sharpen();
sharpen.ApplyInPlace(ret);
Grayscale filter = new Grayscale(0.2125, 0.7154, 0.0721);
Bitmap gray = filter.Apply(ret);
CannyEdgeDetector canny = new CannyEdgeDetector();
gray = canny.Apply(gray);
for (int y = 0; y < gray.Height; y++)
{
for (int x=0;x < gray.Width; x++)
{
if(gray.GetPixel(x,y).R > 0)
{
Color retColor = ret.GetPixel(x, y);
Color newColor = Color.FromArgb(
(int)(retColor.R * .7),
(int)(retColor.G * .7),
(int)(retColor.B * .7));
ret.SetPixel(x, y, newColor);
}
}
}
return ret;
}
public static Bitmap EscalaGrises(Bitmap image)
{
try
{
AForge.Imaging.Filters.Grayscale filter = new AForge.Imaging.Filters.Grayscale(0.30, 0.59, 0.11);
System.Drawing.Bitmap newImage = filter.Apply(image);
return(newImage);
}
catch (ArgumentException ex)
{
MessageBox.Show("No se puede apllicar el filtro" + ex.ToString(), "Error", MessageBoxButtons.OK, MessageBoxIcon.Error);
return(null);
}
}
private void initiateButton_Click(object sender, RoutedEventArgs e)
{
// create grayscale filter (BT709)
Grayscale filter = new Grayscale(0.2125, 0.7154, 0.0721);
// apply the filter
img1 = filter.Apply(img1);
img2 = filter.Apply(img2);
Stopwatch st = new Stopwatch();
st.Start();
// collect reference points using corners detector (for example)
SusanCornersDetector scd = new SusanCornersDetector(30, 18);
List<IntPoint> points = scd.ProcessImage(img1);
// create block matching algorithm's instance
ExhaustiveBlockMatching bm = new ExhaustiveBlockMatching(12, 36);
// process images searching for block matchings
List<BlockMatch> matches = bm.ProcessImage(img1, points, img2);
st.Stop();
TimeSpan elapsed = st.Elapsed;
timedisp.Text = "Elapsed time = " + elapsed.ToString();
// draw displacement vectors
BitmapData data = img1.LockBits(
new System.Drawing.Rectangle(0, 0, img1.Width, img1.Height),
ImageLockMode.ReadWrite, img1.PixelFormat);
foreach (BlockMatch match in matches)
{
// highlight the original point in source image
AForge.Imaging.Drawing.FillRectangle(data,
new System.Drawing.Rectangle(match.SourcePoint.X - 1, match.SourcePoint.Y - 1, 3, 3),
System.Drawing.Color.Yellow);
// draw line to the point in search image
AForge.Imaging.Drawing.Line(data, match.SourcePoint, match.MatchPoint, System.Drawing.Color.Red);
// check similarity
if (match.Similarity > 0.98f)
{
// process block with high similarity
}
}
img1.UnlockBits(data);
bi = Compatibility.Compatibility.BitmapToBitmapImage(img1);
image1.Source = bi;
}
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;
}
public bool applyGrayscale()
{
if (currentImage != null)
{
try
{
// create grayscale filter (BT709)
Grayscale filter = new Grayscale(0.2125, 0.7154, 0.0721);
// apply the filter
currentImage = filter.Apply(currentImage);
return true;
}
catch (Exception)
{ }
}
return false;
}
/// <summary>
/// processes Frame for Motion Detection based on background generation
/// </summary>
/// <param name="frame">
/// Takes in 2 Bitmap parameters, currentFrame and backgroundFrame
/// </param>
/// <returns>
/// frame in which motion is marked
/// </returns>
public Bitmap processFrame(params Bitmap[] frame)
{
Bitmap currentFrame = frame[0];
// create grayscale filter (BT709)
Grayscale filter = new Grayscale(0.2125, 0.7154, 0.0721);
Bitmap GScurrentFrame = filter.Apply(currentFrame);
if (this.backgroundFrame == null)
{
this.backgroundFrame = (Bitmap)GScurrentFrame.Clone();
GScurrentFrame.Dispose();
return currentFrame;
}
else
{
Morph filterx = new Morph(GScurrentFrame);
filterx.SourcePercent = 0.75;
Bitmap tmp = filterx.Apply(backgroundFrame);
// dispose old background
backgroundFrame.Dispose();
backgroundFrame = tmp;
// create processing filters sequence
FiltersSequence processingFilter = new FiltersSequence();
processingFilter.Add(new Difference(backgroundFrame));
processingFilter.Add(new Threshold(threshold_val));
processingFilter.Add(new Opening());
processingFilter.Add(new Edges());
// apply the filter
Bitmap tmp1 = processingFilter.Apply(GScurrentFrame);
IFilter extractChannel = new ExtractChannel(RGB.R);
Bitmap redChannel = extractChannel.Apply(currentFrame);
Merge mergeFilter = new Merge();
mergeFilter.OverlayImage = tmp1;
Bitmap t3 = mergeFilter.Apply(redChannel);
ReplaceChannel rc = new ReplaceChannel(RGB.R, t3);
t3 = rc.Apply(currentFrame);
redChannel.Dispose();
tmp1.Dispose();
GScurrentFrame.Dispose();
return t3;
}
}
public double GetTemperature()
{
var temp = 0.0;
var image = Image.FromFile(filename);
var grayscale = new Grayscale(0.2125, 0.7154, 0.0721);
image = grayscale.Apply(image);
var invert = new Invert();
image = invert.Apply(image);
var stats = new ImageStatistics(image);
var levelsLinear = new LevelsLinear
{
InGray = stats.Gray.GetRange(2.90)
};
image = levelsLinear.Apply(image);
var contrast = new ContrastStretch();
image = contrast.Apply(image);
var erosion = new Erosion();
image = erosion.Apply(image);
var blur = new GaussianBlur(2, 3);
image = blur.Apply(image);
var threshold = new Threshold(79);
image = threshold.Apply(image);
image.Save(processedFileName, System.Drawing.Imaging.ImageFormat.Jpeg);
image.Dispose();
var text = Recognise();
double.TryParse(text.Replace(',', '.'), out temp);
return temp;
}
/// <summary>
/// processes Frame for Motion Detection based on frame comparison
/// </summary>
/// <param name="frame">
/// Takes in 2 Bitmap parameters, currentFrame and backgroundFrame
/// </param>
/// <returns>
/// frame in which motion is marked
/// </returns>
public Bitmap processFrame(params Bitmap[] frame)
{
Bitmap currentFrame = frame[0];
// create grayscale filter (BT709)
Grayscale filter = new Grayscale(0.2125, 0.7154, 0.0721);
Bitmap GScurrentFrame = filter.Apply(currentFrame);
if (this.backgroundFrame == null)
{
this.backgroundFrame = (Bitmap)GScurrentFrame.Clone();
GScurrentFrame.Dispose();
return currentFrame;
}
else
{
Difference differenceFilter = new Difference();
IFilter thresholdFilter = new Threshold(15);
// set backgroud frame as an overlay for difference filter
differenceFilter.OverlayImage = backgroundFrame;
Bitmap tmp = thresholdFilter.Apply(differenceFilter.Apply(GScurrentFrame));
//reduce noise
IFilter erosionFilter = new Erosion();
Bitmap tmp1 = erosionFilter.Apply(tmp);
tmp.Dispose();
// Highlight Motions
IFilter extractChannel = new ExtractChannel(RGB.G);
Bitmap redChannel = extractChannel.Apply(currentFrame);
Merge mergeFilter = new Merge();
mergeFilter.OverlayImage = tmp1;
Bitmap t3 = mergeFilter.Apply(redChannel);
ReplaceChannel rc = new ReplaceChannel(RGB.G, t3);
t3 = rc.Apply(currentFrame);
this.backgroundFrame = (Bitmap)GScurrentFrame.Clone();
redChannel.Dispose();
tmp1.Dispose();
GScurrentFrame.Dispose();
return t3;
}
}
// 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 Bitmap ToBlackAndWhite(this Bitmap bitmap)
{
AForge.Imaging.Filters.Grayscale filter = Grayscale.CommonAlgorithms.Y;
return(filter.Apply(AForge.Imaging.Image.Clone(bitmap, PixelFormat.Format24bppRgb)));
}
public static Image ToGrayScale(Image img)
{
var filterGreyScale = new Grayscale(0.2125, 0.7154, 0.0721);
return filterGreyScale.Apply((Bitmap)img);
}
public void Dilatate()
{
var se = new short[,] { {1, 1, 1},
{1, 1, 1},
{1, 1, 1} };
Grayscale grayScaler = new Grayscale(0.2125, 0.7154, 0.0721);
Dilatation dilatationFilter = new Dilatation(se);
_digit = dilatationFilter.Apply(grayScaler.Apply(new Bitmap(_digit)));
}
public void HitAndMiss()
{
var se = new short[,] { { -1, -1, -1 },
{ 1, 1, 0 },
{ -1, -1, -1 } };
HitAndMiss filter = new HitAndMiss(se, AForge.Imaging.Filters.HitAndMiss.Modes.Thinning);
Grayscale grayScaler = new Grayscale(0.2125, 0.7154, 0.0721);
_digit = filter.Apply(grayScaler.Apply(new Bitmap(_digit)));
}
public void ClosingMorfology()
{
Grayscale grayScaler = new Grayscale(0.2125, 0.7154, 0.0721);
Closing closingFilter = new Closing();
_digit = closingFilter.Apply(grayScaler.Apply(new Bitmap(_digit)));
}
public Histogram DigitHistogram()
{
Grayscale grayScaler = new Grayscale(0.2125, 0.7154, 0.0721);
ImageStatistics stat = new ImageStatistics(grayScaler.Apply(new Bitmap(_digit)));
return stat.Gray;
}
protected Bitmap ToGrayScale(BitmapSource image)
{
var bitmap = image.ToBitmap();
var grayScale = new Grayscale(0.2125, 0.7154, 0.0721).Apply(bitmap);
return grayScale;
}
// ========================================================= Contrast_scretchFunc
private void GrayscaleFunc(ref Bitmap frame, int par_int, double par_d, int par_R, int par_G, int par_B)
{
Grayscale toGrFilter = new Grayscale(0.2125, 0.7154, 0.0721); // create grayscale MirrFilter (BT709)
Bitmap fr = toGrFilter.Apply(frame);
GrayscaleToRGB toColFilter = new GrayscaleToRGB();
frame = toColFilter.Apply(fr);
}
private void cBFilters_SelectedIndexChanged(object sender, EventArgs e)
{
Bitmap pictureTransform = (Bitmap)pbChoose.Image;
if ((string)cBFilters.SelectedItem == "HSL_Filter")
{
AForge.Imaging.Filters.SaturationCorrection filter = new SaturationCorrection(0.1);
Bitmap newImage = filter.Apply(pictureTransform);
pbChoose.SizeMode = PictureBoxSizeMode.CenterImage;
pBNew.Image = newImage;
}
if ((string)cBFilters.SelectedItem == "Mediana")
{
AForge.Imaging.Filters.Median filter = new Median();
Bitmap newImage = filter.Apply(pictureTransform);
pbChoose.SizeMode = PictureBoxSizeMode.CenterImage;
pBNew.Image = newImage;
}
/*if ((string)cBFilters.SelectedItem == "Fourier_Transformation")
* {
* Complex[] dst = new Complex[n];
*
* AForge.Math.FourierTransform filter = AForge.Math.FourierTransform.DFT();// .FromBitmap(pictureTransform);
* Bitmap newImage = filter.Apply();
* pbChoose.SizeMode = PictureBoxSizeMode.CenterImage;
* pBNew.Image = newImage;
* }*/
if ((string)cBFilters.SelectedItem == "Binarization")
{
pictureTransform = Grayscale.CommonAlgorithms.BT709.Apply(pictureTransform);
Threshold threshold = new Threshold(127);
threshold.ApplyInPlace(pictureTransform);
pbChoose.SizeMode = PictureBoxSizeMode.CenterImage;
pBNew.Image = pictureTransform;
}
if ((string)cBFilters.SelectedItem == "Grayscale")
{
AForge.Imaging.Filters.Grayscale filter = new AForge.Imaging.Filters.Grayscale(0.2125, 0.7154, 0.0721);
Bitmap newImage = filter.Apply(pictureTransform);
pbChoose.SizeMode = PictureBoxSizeMode.CenterImage;
pBNew.Image = newImage;
}
if ((string)cBFilters.SelectedItem == "FillHoles")
{
pictureTransform = Grayscale.CommonAlgorithms.BT709.Apply(pictureTransform);
Threshold threshold = new Threshold(127);
threshold.ApplyInPlace(pictureTransform);
AForge.Imaging.Filters.FillHoles filter = new AForge.Imaging.Filters.FillHoles();
filter.MaxHoleHeight = 5;
filter.MaxHoleWidth = 15;
filter.CoupledSizeFiltering = false;
Bitmap newImage = filter.Apply(pictureTransform);
pbChoose.SizeMode = PictureBoxSizeMode.CenterImage;
pBNew.Image = newImage;
}
if ((string)cBFilters.SelectedItem == "Opening")
{
AForge.Imaging.Filters.Opening filter = new AForge.Imaging.Filters.Opening();
Bitmap newImage = filter.Apply(pictureTransform);
pbChoose.SizeMode = PictureBoxSizeMode.CenterImage;
pBNew.Image = newImage;
}
if ((string)cBFilters.SelectedItem == "Closing")
{
AForge.Imaging.Filters.Closing filter = new AForge.Imaging.Filters.Closing();
Bitmap newImage = filter.Apply(pictureTransform);
pbChoose.SizeMode = PictureBoxSizeMode.CenterImage;
pBNew.Image = newImage;
}
if ((string)cBFilters.SelectedItem == "Erosion")
{
AForge.Imaging.Filters.Erosion filter = new AForge.Imaging.Filters.Erosion();
Bitmap newImage = filter.Apply(pictureTransform);
pbChoose.SizeMode = PictureBoxSizeMode.CenterImage;
pBNew.Image = newImage;
}
if ((string)cBFilters.SelectedItem == "Dilatation")
{
AForge.Imaging.Filters.Dilatation filter = new AForge.Imaging.Filters.Dilatation();
Bitmap newImage = filter.Apply(pictureTransform);
pbChoose.SizeMode = PictureBoxSizeMode.CenterImage;
pBNew.Image = newImage;
}
if ((string)cBFilters.SelectedItem == "Edges")
{
AForge.Imaging.Filters.Edges filter = new AForge.Imaging.Filters.Edges();
Bitmap newImage = filter.Apply(pictureTransform);
pbChoose.SizeMode = PictureBoxSizeMode.CenterImage;
pBNew.Image = newImage;
}
}
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 ToGrayScale()
{
Grayscale gf = new Grayscale(0.2125, 0.7154, 0.0721);
_recogimg = gf.Apply(_recogimg);
}
protected override void UpdateFilter()
{
filter = new Grayscale(Cr, Cg, Cb);
}
public Bitmap ConvertTOGrayScale(double cr, double cg, double cb)
{
Grayscale grayScaleFilter = new Grayscale(cr, cg, cb);
Bitmap convertedImage = grayScaleFilter.Apply(ImageBitmap);
ImageBitmap = convertedImage;
return convertedImage;
}