private static void Main()
{
var bmp = (Bitmap)Image.FromFile("eurobot.bmp");
var pixels = LoadPixels(bmp);
var form = new Form
{
ClientSize = new Size(3 * ResizeRate * bmp.Width, 2 * ResizeRate * bmp.Height)
};
var panel = new TableLayoutPanel
{
RowCount = 2,
ColumnCount = 3,
Dock = DockStyle.Fill
};
form.Controls.Add(panel);
panel.Controls.Add(CreateBox(ConvertToBitmap(pixels)), 0, 0);
var grayscale = GrayscaleTask.ToGrayscale(pixels);
panel.Controls.Add(CreateBox(ConvertToBitmap(grayscale)), 1, 0);
var clear = MedianFilterTask.MedianFilter(grayscale);
panel.Controls.Add(CreateBox(ConvertToBitmap(clear)), 2, 0);
var sobell = SobelFilterTask.SobelFilter(clear, new double[, ] {
{ -1, -2, -1 }, { 0, 0, 0 }, { 1, 2, 1 }
});
panel.Controls.Add(CreateBox(ConvertToBitmap(sobell)), 0, 1);
var trashhold = ThresholdFilterTask.ThresholdFilter(sobell, 0.1);
panel.Controls.Add(CreateBox(ConvertToBitmap(trashhold)), 1, 1);
var bitmap = ConvertToBitmap(sobell);
using (var g = Graphics.FromImage(bitmap))
{
var lines = HoughTransformTask.HoughAlgorithm(sobell);
var pen = new Pen(Color.Red, 2);
foreach (var e in lines)
{
g.DrawLine(pen, e.X0 * ResizeRate, e.Y0 * ResizeRate, e.X1 * ResizeRate, e.Y1 * ResizeRate);
}
}
panel.Controls.Add(CreateBox(bitmap), 2, 1);
Application.Run(form);
/*var image = new double[1, 1];
* image[0, 0] = 1;
*
* var filter = new double[1, 1];
* filter[0, 0] = 2;
*
* var result = SobelFilterTask.SobelFilter(image, filter);
*
* Console.WriteLine(result[0,0]);
* Console.ReadKey(true);*/
}
public static void Test1(Pixel[,] original)
{
var watch = new Stopwatch();
watch.Start();
for (var i = 0; i < 1000; i++)
{
GrayscaleTask.ToGrayscale(original);
}
watch.Stop();
Console.WriteLine(watch.ElapsedMilliseconds);
watch.Reset();
watch.Start();
for (var i = 0; i < 1000; i++)
{
GrayscaleTask.ToGrayscale1(original);
}
watch.Stop();
Console.WriteLine(watch.ElapsedMilliseconds);
watch.Reset();
watch.Start();
for (var i = 0; i < 1000; i++)
{
GrayscaleTask.ToGrayscale2(original);
}
watch.Stop();
Console.WriteLine(watch.ElapsedMilliseconds);
watch.Reset();
}
private static void Main()
{
var bmp = (Bitmap)Image.FromFile("eurobot.bmp"); //загрузка изображения
var pixels = LoadPixels(bmp); // разбивка изображения на двумерный массив заполненный экземплярами класса Pixel
var form = new Form //создает новое окно
{
ClientSize = new Size(3 * ResizeRate * bmp.Width, 2 * ResizeRate * bmp.Height)
};
var panel = new TableLayoutPanel //разбивка окна на "сетку" для размещения элементов по ячейкам (без привязки коорд)
{
RowCount = 2,
ColumnCount = 3,
Dock = DockStyle.Fill
};
form.Controls.Add(panel); //добавление сетки в окно
panel.Controls.Add(CreateBox(ConvertToBitmap(pixels)), 0, 0); //вывод эталлоного изображения
var grayscale = GrayscaleTask.ToGrayscale(pixels);
panel.Controls.Add(CreateBox(ConvertToBitmap(grayscale)), 1, 0); //
var clear = MedianFilterTask.MedianFilter(grayscale);
panel.Controls.Add(CreateBox(ConvertToBitmap(clear)), 2, 0);
var sobell = SobelFilterTask.SobelFilter(clear, new double[, ] {
{ -1, -2, -1 }, { 0, 0, 0 }, { 1, 2, 1 }
});
// var sobell = SobelFilterTask.SobelFilter(new double[,] { { 1 } }, new double[,] { { 2 } });
panel.Controls.Add(CreateBox(ConvertToBitmap(sobell)), 0, 1);
var trashhold = ThresholdFilterTask.ThresholdFilter(sobell, 0.2);
panel.Controls.Add(CreateBox(ConvertToBitmap(trashhold)), 1, 1);
var bitmap = ConvertToBitmap(sobell);
using (var g = Graphics.FromImage(bitmap))
{
var lines = HoughTransformTask.HoughAlgorithm(sobell);
var pen = new Pen(Color.Red, 2);
foreach (var e in lines)
{
g.DrawLine(pen, e.X0 * ResizeRate, e.Y0 * ResizeRate, e.X1 * ResizeRate, e.Y1 * ResizeRate);
}
}
panel.Controls.Add(CreateBox(bitmap), 2, 1);
Application.Run(form);
}