private Bitmap Flatten(Bitmap bmp, int fillint, int contint)
{
ColorFiltering colorFilter = new ColorFiltering();
colorFilter.Red = new IntRange(0, fillint);
colorFilter.Green = new IntRange(0, fillint);
colorFilter.Blue = new IntRange(0, fillint);
colorFilter.FillOutsideRange = false;
using (Bitmap filteredBmp = colorFilter.Apply(bmp))
{
AForge.Imaging.Filters.ContrastCorrection Contrast = new ContrastCorrection(contint);
AForge.Imaging.Filters.Invert invert = new Invert();
AForge.Imaging.Filters.ExtractChannel extract_channel = new ExtractChannel(RGB.B);
AForge.Imaging.Filters.Threshold thresh_hold = new Threshold(44);
Contrast.ApplyInPlace(filteredBmp);
Bitmap extractedBmp = extract_channel.Apply(filteredBmp);
thresh_hold.ApplyInPlace(extractedBmp);
invert.ApplyInPlace(extractedBmp);
return extractedBmp;
}
}
/// <summary>
/// Adjust contrast in RGB colour space.
/// </summary>
/// <param name="bitmap">The bitmap.</param>
public static Bitmap Contrast(this Bitmap bitmap) {
if ((bitmap = bitmap.Channel()) != null) {
var contrastCorrection = new ContrastCorrection();
contrastCorrection.ApplyInPlace(bitmap);
}
return bitmap;
}
/// <summary>
/// Adjust contrast in RGB colour space.
/// </summary>
public static Bitmap Contrast(this Bitmap Bitmap)
{
// Convert grayscale to RGB colour space.
if ((Bitmap = Bitmap.Channel()) != null) {
// Initialize a new instance of the ContrastCorrection class.
var ContrastCorrection = new ContrastCorrection();
// Apply the filter to the image.
ContrastCorrection.ApplyInPlace(Bitmap);
}
// Return the bitmap.
return Bitmap;
}
// 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;
}
/// <summary>
/// Modifica el brillo y contraste de la imagen que aparece en pantalla
/// </summary>
private void Filtrar()
{
Bitmap temp = new Bitmap(padre.actual.datacuboHigh.dataCube[trackElementos.Value - 1].bmp);
AForge.Imaging.Filters.BrightnessCorrection brillo = new AForge.Imaging.Filters.BrightnessCorrection(Convert.ToInt32(trackBrillo.Value));
AForge.Imaging.Filters.ContrastCorrection contraste = new AForge.Imaging.Filters.ContrastCorrection(Convert.ToInt32(trackContraste.Value));
contraste.ApplyInPlace(temp);
brillo.ApplyInPlace(temp);
pictElemento.Image = temp;
//pictElemento.Invalidate();
}
public static bool ColorCorrections(string fileName, int brightness, int contrast, double gamma, int hue, float saturation)
{
if (String.IsNullOrEmpty(fileName)) throw new ArgumentNullException("fileName");
bool result = false;
using (var ms = new MemoryStream(File.ReadAllBytes(fileName)))
{
using (Bitmap bmp = new Bitmap(ms))
{
//The filter accepts 8 bpp grayscale and 24/32 bpp color images for processing, value [-255, +255] default 10
if (brightness >= -255 && brightness != 0 && brightness <= 255)
{
BrightnessCorrection filter = new BrightnessCorrection(brightness);
filter.ApplyInPlace(bmp);
result = true;
}
//The filter accepts 8 bpp grayscale and 24/32 bpp color images for processing, value [-127, +127] default 10
if (contrast >= -127 && contrast != 0 && contrast <= 127)
{
ContrastCorrection filter = new ContrastCorrection(contrast);
filter.ApplyInPlace(bmp);
result = true;
}
//The filter accepts 8 bpp grayscale and 24 bpp color images for processing, value [0.1, 5.0] default 1.0
if (gamma >= 0.1D && gamma != 1D && gamma <= 5D)
{
GammaCorrection filter = new GammaCorrection(gamma);
filter.ApplyInPlace(bmp);
result = true;
}
//The filter accepts 8 bpp grayscale and 24/32 bpp color images for processing, value [-180, +180] default 0
if (hue >= -180 && hue != 0 && hue <= 180)
{
HueModifier filter = new HueModifier(hue);
filter.ApplyInPlace(bmp);
result = true;
}
//The filter accepts 24 and 32 bpp color images for processing, value specified percentage [-1, +1] default 0.1
if (saturation >= -100f && saturation != 0f && saturation <= 100f)
{
SaturationCorrection filter = new SaturationCorrection(saturation / 100);
filter.ApplyInPlace(bmp);
result = true;
}
bmp.Save(fileName);
}
}
return result;
}
public static BitmapSource ColorCorrections(BitmapSource source, int brightness, int contrast, double gamma, int hue, float saturation)
{
if (source == null) throw new ArgumentNullException("source");
BitmapSource output = null;
if (source.Format == PixelFormats.Bgr32 && gamma != 1D)
{
source = new FormatConvertedBitmap(source, PixelFormats.Bgr24, null, 0);
}
using (Bitmap bmp = Convert(source))
{
int bpp = source.Format.BitsPerPixel;
if (bpp == 8 || bpp == 24 || bpp == 32)
{
//The filter accepts 8 bpp grayscale and 24/32 bpp color images for processing, value [-255, +255] default 10
if (brightness >= -255 && brightness != 0 && brightness <= 255)
{
BrightnessCorrection filter = new BrightnessCorrection(brightness);
filter.ApplyInPlace(bmp);
}
//The filter accepts 8 bpp grayscale and 24/32 bpp color images for processing, value [-127, +127] default 10
if (contrast >= -127 && contrast != 0 && contrast <= 127)
{
ContrastCorrection filter = new ContrastCorrection(contrast);
filter.ApplyInPlace(bmp);
}
}
if (bpp == 8 || bpp == 24)
{
//The filter accepts 8 bpp grayscale and 24 bpp color images for processing, value [0.1, 5.0] default 1.0
if (gamma >= 0.1D && gamma != 1D && gamma <= 5D)
{
GammaCorrection filter = new GammaCorrection(gamma);
filter.ApplyInPlace(bmp);
}
}
if (bpp == 8 || bpp == 24 || bpp == 32)
{
//The filter accepts 8 bpp grayscale and 24/32 bpp color images for processing, value [-180, +180] default 0
if (hue >= -180 && hue != 0 && hue <= 180)
{
HueModifier filter = new HueModifier(hue);
filter.ApplyInPlace(bmp);
}
}
if (bpp == 24 || bpp == 32)
{
//The filter accepts 24 and 32 bpp color images for processing, value specified percentage [-1, +1] default 0.1
if (saturation >= -100f && saturation != 0f && saturation <= 100f)
{
SaturationCorrection filter = new SaturationCorrection(saturation / 100);
filter.ApplyInPlace(bmp);
}
}
output = Convert(bmp);
}
return CloneImage(output);
}
/// <summary>
/// [Português]
/// Método que realiza a subtração entre duas imagens.
/// <para></para>
/// [English]
/// Method that performs the subtraction between two images.
/// </summary>
/// <param name="patientImg"></param>
/// <param name="backgroundImg"></param>
/// <returns></returns>
public Bitmap ProcessImage(Bitmap patientImg, Bitmap backgroundImg)
{
//#if RELEASE
backgroundImg.SetResolution(96, 96);
patientImg.SetResolution(96, 96);
var subtract = new AForge.Imaging.Filters.Subtract(backgroundImg);
subtract.ApplyInPlace(patientImg);
var contrast = new AForge.Imaging.Filters.ContrastCorrection(60);
contrast.ApplyInPlace(patientImg);
Grayscale escalaCinza = Grayscale.CommonAlgorithms.BT709;
patientImg = escalaCinza.Apply(patientImg);
Threshold threshold = new Threshold(10);
threshold.ApplyInPlace(patientImg);
return patientImg;
//#endif
}