private void UpdateImage(object sender, EventArgs eventArgs)
{
if (capture_.Grab())
{
var frame = capture_.QueryFrame();
var result = ProcessHoughTest(frame);
if (result.SolidLines.Length > 1)
{
windows_ = WindowFlow.Compute(frame.Size, result.SolidLines);
}
if (windows_ != null)
{
WindowFlow.DrawWindows(frame, windows_);
}
pictureBox1.Image = frame.Bitmap;
frameCount_++;
frameLabel_.Text = "frame: " + frameCount_;
Thread.Sleep(10);
}
else
{
Application.Idle -= UpdateImage;
}
}
public static void ProcessCarDetectionTest()
{
var image = new Image <Gray, byte>("Images/disparity.png");
var left = new LineSegment2D(new Point(61, 221), new Point(121, 175));
var right = new LineSegment2D(new Point(253, 221), new Point(209, 175));
////*****draw lines*****
//var red = new Bgr(Color.Red);
//image.Draw(left, red, 1);
//image.Draw(right, red, 1);
var original = CalculateHistogram(image);
var cutted = new float[256];
Array.Copy(original, cutted, 256);
var windows = WindowFlow.Compute(image.Size, new[] { left, right });
var allValues = new List <float[]>();
int counter = 0;
foreach (var window in windows)
{
counter++;
image.ROI = window;
var values = CalculateHistogram(image);
for (var i = 0; i < original.Length; ++i)
{
if (original[i] > 0)
{
values[i] = (original[i] - values[i]) / original[i];
}
else
{
values[i] = 1.0f;
}
}
if (AnalyzeHistogram(values))
{
Console.WriteLine(counter);
}
allValues.Add(values);
}
//PrintData(allValues);
//ImageViewer.Show(image);
}
