private void WorkThresholdOnly()
{
Bitmap afterThreshold = ImageProcessing.FadeLaplassThreshold(afterFade, trackBar2.Value);
pictureBox5.Invoke(new Action(() => pictureBox5.Image = afterThreshold));
ShowSelectedImage();
button1.Enabled = groupBox2.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();
}
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")));
}
