public void Analyze(System.Drawing.Bitmap bitmap, ColorConfig currentConfig, bool useMorphologic = true, bool detectBox = false)
{
System.Diagnostics.Stopwatch sw = System.Diagnostics.Stopwatch.StartNew();
bitmaps.UpdateImages(bitmap);
using (Image <Bgr, byte> img = new Image <Bgr, byte>(bitmaps.Bitmap))
{
IImage uimage = createMat();
CvInvoke.CvtColor(img.Clone(), uimage, ColorConversion.Bgr2Hsv, 3);
double cannyThreshold = 180.0;
double cannyThresholdLinking = 10.0;
IImage cannyEdges = createMat();
CvInvoke.Canny(img.Clone(), cannyEdges, cannyThreshold, cannyThresholdLinking);
if (detectBox)
{
var boxList = BoxDetection(cannyEdges);
foreach (var box in boxList)
{
for (int i = 0; i < box.Item1.Length; i++)
{
var pointA = box.Item1[i];
var pointB = box.Item1[(i + 1) % box.Item1.Length];
CvInvoke.Line(img, pointA, pointB, new Bgr(Color.DarkOrange).MCvScalar, 2);
}
}
}
//use image pyr to remove noise
IImage pyrDown = createMat();
CvInvoke.PyrDown(uimage, pyrDown);
CvInvoke.PyrUp(pyrDown, uimage);
IImage imgThresholded = createMat();
MCvScalar lower = new MCvScalar(currentConfig.LowH, currentConfig.LowS, currentConfig.LowV);
MCvScalar upper = new MCvScalar(currentConfig.HighH, currentConfig.HighS, currentConfig.HighV);
CvInvoke.InRange(uimage, new ScalarArray(lower), new ScalarArray(upper), imgThresholded);
if (useMorphologic)
{
morphOps(imgThresholded);
}
var contours = ContourDetection(imgThresholded);
var maxContour = contours.OrderByDescending(t => t.Item2).FirstOrDefault();
foreach (var box in contours)
{
MCvScalar contourColor;
if (box == maxContour)
{
contourColor = new Bgr(Color.DarkOrange).MCvScalar;
var vertices = box.Item4.GetVertices();
for (int i = 0; i < 4; i++)
{
CvInvoke.Line(img, new Point((int)vertices[i].X, (int)vertices[i].Y),
new Point((int)vertices[(i + 1) % 4].X, (int)vertices[(i + 1) % 4].Y), contourColor);
}
}
else
{
contourColor = new Bgr(Color.Green).MCvScalar;
}
for (int i = 0; i < box.Item1.Length; i++)
{
var pointA = box.Item1[i];
var pointB = box.Item1[(i + 1) % box.Item1.Length];
CvInvoke.Line(img, pointA, pointB, contourColor, 4);
}
CvInvoke.Circle(img, box.Item3, 5, contourColor, 2);
}
//Add Hour
CvInvoke.PutText(img, DateTime.Now.ToString(), new Point(5, 30), FontFace.HersheySimplex, 0.8, new Bgr(Color.LightBlue).MCvScalar);
bitmaps.Calculations = sw.ElapsedMilliseconds;
sw.Restart();
bitmaps.UpdateImages(null, img.ToBitmap(),
cannyEdges.Bitmap,
imgThresholded.Bitmap);
bitmaps.ImageSet = sw.ElapsedMilliseconds;
bitmaps.FPS = bitmaps.Calculations + bitmaps.ImageSet;
if (this.analyzerOutput != null)
{
analyzerOutput.FovSize = bitmaps.Bitmap.Size;
if (maxContour != null)
{
analyzerOutput.Detected = true;
analyzerOutput.Center = maxContour.Item3;
analyzerOutput.Width = (int)maxContour.Item4.Size.Width;
analyzerOutput.Height = (int)maxContour.Item4.Size.Height;
}
else
{
analyzerOutput.Detected = false;
analyzerOutput.Center = Point.Empty;
analyzerOutput.Distance = 0;
}
}
}
}
