public void StartProcessing()
{
Bitmap afterGrey;
if (isFirstStart)
{
var bmp = new Bitmap(uploadedImage);
pictureBox1.Invoke(new Action(() => pictureBox1.Image = new Bitmap(bmp)));
afterGrey = ImageProcessing.ImageToGrey(bmp);
pictureBox2.Invoke(new Action(() => pictureBox2.Image = new Bitmap(afterGrey)));
pictureBox9.Invoke(new Action(() => pictureBox9.Image = new Bitmap(afterGrey)));
isFirstStart = false;
}
else
{
afterGrey = new Bitmap(pictureBox2.Image);
}
Bitmap afterGauss;
if (checkBox1.Checked)
{
double sigma = 0;
if (radioButton2.Checked)
{
sigma = (double)numericUpDown4.Value;
}
afterGauss = ImageProcessing.GaussianFilter(afterGrey, sigma);
}
else
{
afterGauss = afterGrey;
}
pictureBox3.Invoke(new Action(() => pictureBox3.Image = new Bitmap(afterGauss)));
Bitmap afterSobel = ImageProcessing.SobelConvolve(afterGauss);
pictureBox4.Invoke(new Action(() => pictureBox4.Image = new Bitmap(afterSobel)));
afterSuppression = ImageProcessing.NonMaximumSuppression(afterSobel);
pictureBox5.Invoke(new Action(() => pictureBox5.Image = new Bitmap(afterSuppression)));
Bitmap afterThreshold = ImageProcessing.DoubleThreshold(afterSuppression, trackBar3.Value, trackBar2.Value);
pictureBox6.Invoke(new Action(() => pictureBox6.Image = new Bitmap(afterThreshold)));
afterEdgeTrack = ImageProcessing.EdgeTracking(afterThreshold);
pictureBox7.Invoke(new Action(() => pictureBox7.Image = new Bitmap(afterEdgeTrack)));;
Bitmap afterRestoration = ImageProcessing.BorderRestoration(afterEdgeTrack, trackBar4.Value);
pictureBox8.Invoke(new Action(() => pictureBox8.Image = new Bitmap(afterRestoration)));
ShowSelectedImage();
button1.Enabled = groupBox1.Enabled = true;
thread.Abort();
}
public void StartProcessing()
{
Bitmap afterGrey;
if (isFirstStart)
{
var bmp = new Bitmap(uploadedImage);
pictureBox1.Invoke(new Action(() => pictureBox1.Image = new Bitmap(bmp)));
pictureBox8.Invoke(new Action(() => pictureBox8.Image = new Bitmap(bmp)));
afterGrey = ImageProcessing.ImageToGrey(bmp);
pictureBox2.Invoke(new Action(() => pictureBox2.Image = new Bitmap(afterGrey)));
isFirstStart = false;
}
else
{
afterGrey = new Bitmap(pictureBox2.Image);
}
Bitmap afterGauss;
if (checkBox1.Checked)
{
double sigma = 0;
if (radioButton2.Checked)
{
sigma = (double)numericUpDown4.Value;
}
afterGauss = Filters.GaussianFilter(afterGrey, sigma);
}
else
{
afterGauss = afterGrey;
}
pictureBox3.Invoke(new Action(() => pictureBox3.Image = new Bitmap(afterGauss)));
if (isGradient)
{
afterFade = Edges.FadeDetection(afterGauss);
}
else
{
afterFade = Edges.LaplacianDetection(afterGauss);
}
pictureBox4.Invoke(new Action(() => pictureBox4.Image = new Bitmap(afterFade)));
Bitmap afterThreshold = ImageProcessing.FadeLaplassThreshold(afterFade, trackBar2.Value);
pictureBox5.Invoke(new Action(() => pictureBox5.Image = new Bitmap(afterThreshold)));
ShowSelectedImage();
button1.Enabled = groupBox2.Enabled = true;
thread.Abort();
}
private void button1_ClickTest(object sender, EventArgs e)
{
Bitmap afterGrey;
var bmp = new Bitmap(uploadedImage);
panel1.Invoke(new Action(() => AddImageOnPanel(new Bitmap(bmp), "Исходное изображение")));
afterGrey = ImageProcessing.ImageToGrey(bmp);
panel1.Invoke(new Action(() => AddImageOnPanel(new Bitmap(afterGrey), "Оттенки серого")));
double sigma = 0;
Bitmap afterGauss = Filters.GaussianFilter(afterGrey, sigma);
panel1.Invoke(new Action(() => AddImageOnPanel(new Bitmap(afterGauss), "Фильтр Гаусса")));
Bitmap afterMedian = Filters.MedianFilter(afterGrey, 5);
panel1.Invoke(new Action(() => AddImageOnPanel(new Bitmap(afterMedian), "Медианный фильтр")));
}
public void FadeLaplacianDetecting()
{
Bitmap afterGrey;
var bmp = new Bitmap(uploadedImage);
panel1.Invoke(new Action(() => AddImageOnPanel(new Bitmap(bmp), "Исходное изображение")));
afterGrey = ImageProcessing.ImageToGrey(bmp);
panel1.Invoke(new Action(() => AddImageOnPanel(new Bitmap(afterGrey), "Оттенки серого")));
Bitmap afterGauss;
if (checkBox2.Checked)
{
double sigma = 0;
if (radioButton6.Checked)
{
sigma = (double)numericUpDown4.Value;
}
afterGauss = Filters.GaussianFilter(afterGrey, sigma);
panel1.Invoke(new Action(() => AddImageOnPanel(new Bitmap(afterGauss), "Фильтр Гаусса")));
}
else
{
afterGauss = afterGrey;
}
var afterFade = Edges.FadeDetection(new Bitmap(afterGauss));
panel1.Invoke(new Action(() => AddImageOnPanel(new Bitmap(afterFade), "Метод на основе градиента")));
Bitmap afterThreshold = ImageProcessing.FadeLaplassThreshold(afterFade, trackBar2.Value);
panel1.Invoke(new Action(() => AddImageOnPanel(new Bitmap(afterThreshold), "Пороговая фильтрация")));
}
private void MarrHildrethDetecting()
{
Bitmap afterGrey;
var bmp = new Bitmap(uploadedImage);
panel1.Invoke(new Action(() => AddImageOnPanel(new Bitmap(bmp), "Исходное изображение")));
afterGrey = ImageProcessing.ImageToGrey(bmp);
panel1.Invoke(new Action(() => AddImageOnPanel(new Bitmap(afterGrey), "Оттенки серого")));
Bitmap afterGauss;
if (checkBox2.Checked)
{
double sigma = 0;
if (radioButton6.Checked)
{
sigma = (double)numericUpDown4.Value;
}
afterGauss = Filters.GaussianFilter(afterGrey, sigma);
panel1.Invoke(new Action(() => AddImageOnPanel(new Bitmap(afterGauss), "Фильтр Гаусса")));
}
else
{
afterGauss = afterGrey;
}
var afterMarrHildreth = LoG.MarrHildrethEdge(new Bitmap(afterGauss));
panel1.Invoke(new Action(() => AddImageOnPanel(new Bitmap(afterMarrHildreth), "Метод Марр-Хилдрет")));
Bitmap afterThreshold = ImageProcessing.FadeLaplassThreshold(afterMarrHildreth, trackBar2.Value);
panel1.Invoke(new Action(() => AddImageOnPanel(new Bitmap(afterThreshold), "Пороговая фильтрация")));
}
private void CannyEdgeDetecting()
{
Bitmap afterGrey;
//if (isFirstStart)
//{
var bmp = new Bitmap(uploadedImage);
panel1.Invoke(new Action(() => AddImageOnPanel(new Bitmap(bmp), "Исходное изображение")));
afterGrey = ImageProcessing.ImageToGrey(bmp);
panel1.Invoke(new Action(() => AddImageOnPanel(new Bitmap(afterGrey), "Оттенки серого")));
//pictureBox9.Invoke(new Action(() => pictureBox9.Image = new Bitmap(afterGrey)));
//isFirstStart = false;
//}
//else
// afterGrey = new Bitmap(pictureBox2.Image);
//ShowSelectedImage();
Bitmap afterGauss;
if (checkBox2.Checked)
{
double sigma = 0;
if (radioButton6.Checked)
{
sigma = (double)numericUpDown4.Value;
}
afterGauss = Filters.GaussianFilter(afterGrey, sigma);
panel1.Invoke(new Action(() => AddImageOnPanel(new Bitmap(afterGauss), "Фильтр Гаусса")));
}
else
{
afterGauss = afterGrey;
}
//ShowSelectedImage();
Bitmap afterSobel = Edges.SobelConvolve(afterGauss);
//Bitmap afterSobel2 = Edges.Sobel(afterGauss);
panel1.Invoke(new Action(() => AddImageOnPanel(new Bitmap(afterSobel), "Фильтр Собеля")));
//pictureBox14.Invoke(new Action(() => pictureBox14.Image = new Bitmap(afterSobel2)));
//ShowSelectedImage();
Bitmap afterSuppression = Edges.NonMaximumSuppression(afterSobel);
//Bitmap afterSuppression2 = Edges.NonMaximumSuppression(afterSobel2);
panel1.Invoke(new Action(() => AddImageOnPanel(new Bitmap(afterSuppression), "Подавление не-максимумов")));
//pictureBox15.Invoke(new Action(() => pictureBox15.Image = new Bitmap(afterSuppression2)));
//ShowSelectedImage();
Bitmap afterThreshold = Edges.DoubleThreshold(afterSuppression, trackBar3.Value, trackBar2.Value);
//Bitmap afterThreshold2 = Edges.DoubleThreshold(afterSuppression2, trackBar3.Value, trackBar2.Value);
panel1.Invoke(new Action(() => AddImageOnPanel(new Bitmap(afterThreshold), "Двойная проговая фильтрация")));
//pictureBox16.Invoke(new Action(() => pictureBox16.Image = new Bitmap(afterThreshold2)));
//ShowSelectedImage();
Bitmap afterEdgeTrack = Edges.EdgeTracking(afterThreshold);
//Bitmap afterEdgeTrack2 = Edges.EdgeTracking(afterThreshold2);
panel1.Invoke(new Action(() => AddImageOnPanel(new Bitmap(afterEdgeTrack), "Трассировка области неоднозначности")));
//pictureBox17.Invoke(new Action(() => pictureBox17.Image = new Bitmap(afterEdgeTrack2)));
//ShowSelectedImage();
//Bitmap afterRestoration = Edges.BorderRestoration(afterEdgeTrack, trackBar4.Value);
//panel1.Invoke(new Action(() => AddImageOnPanel(new Bitmap(afterRestoration), "Восстановление границ")));
//ShowSelectedImage();
//button1.Enabled = button6.Enabled = groupBox1.Enabled = true;
}
