public List <CircleF> HoughtAlgoritm(int minDistance = 250, int acTreshold = 36, int minRadius = 10, int maxRadius = 300)
{
var grayImage = SourseImage.Convert <Gray, byte>();
var bluredImage = grayImage.SmoothGaussian(9);
var listOfCircles = new List <CircleF>(CvInvoke.HoughCircles(bluredImage, HoughType.Gradient, 1.0, minDistance, 100, acTreshold, minRadius, maxRadius));
return(listOfCircles);
}
public Image <Bgr, byte> RectOfInteres(int threshold = 80, int i = 0)
{
var primitives = FindPrimitives(threshold);
var image = SourseImage.Copy();
Rectangle rect = CvInvoke.BoundingRectangle(primitives[i]);
image.ROI = rect;
return(image);
}
public Image <Gray, byte> FindColor(int color)
{
var hsvImage = SourseImage.Convert <Hsv, byte>();
var hue = hsvImage.Split()[0];
byte range = 10;
var resultImage = hue.InRange(new Gray(Convert.ToByte(color) - range), new Gray(Convert.ToByte(color) + range));
return(resultImage);
}
public Image <Bgr, byte> DrawContours(int threshold = 80, int choose = 0)
{
var contours = FindOfContours(threshold, choose);
var ContoursImage = SourseImage.CopyBlank();
for (int i = 0; i < contours.Size; i++)
{
ContoursImage.Draw(contours[i].ToArray(), new Bgr(Color.GreenYellow), 2); // 1 - массив точек, 2 - цвет, 3 - толщина
}
return(ContoursImage);
}
public Image <Bgr, byte> DrowSelectedPrimitives(int index, int threshold = 80)
{
var primitives = FindPrimitives(threshold);;
var primitivesImage = SourseImage.CopyBlank();
for (int i = 0; i < primitives[index].ToArray().Length; i++)
{
primitivesImage.Draw(primitives[index].ToArray(), new Bgr(Color.Red), 3);
}
var result = SourseImage.Copy();
result = Sum(result, primitivesImage);
return(result);
}
public Image <Bgr, byte> DrawPrimitives(int choose, int area = 300, int threshold = 80, int minArea = 500, int minDistance = 250, int acTreshold = 36, int minRadius = 10, int maxRadius = 300, int choose_m = 0)//0 - Triangles, 1 - Rectangles, 2 - Circles, 3 - All of Finded
{
var PrimitivesImage = SourseImage.CopyBlank();
var listOfRect = FindRectangles(area, threshold, choose_m);
var listOfTriangles = FindTriangles(minArea, threshold, choose_m);
var listOfCircles = HoughtAlgoritm(minDistance, acTreshold, minRadius, maxRadius);
switch (choose)
{
case 0:
for (int i = 0; i < listOfTriangles.Count - 2; i++)
{
PrimitivesImage.Draw(new Triangle2DF(listOfTriangles[i][0], listOfTriangles[i][1], listOfTriangles[i][2]), new Bgr(Color.GreenYellow), 2);
}
break;
case 1:
for (int i = 0; i < listOfRect.Count; i++)
{
PrimitivesImage.Draw(CvInvoke.MinAreaRect(listOfRect[i].ToArray()), new Bgr(Color.GreenYellow), 2);
}
break;
case 2:
for (int i = 0; i < listOfCircles.Count; i++)
{
PrimitivesImage.Draw(listOfCircles[i], new Bgr(Color.GreenYellow), 2);
}
break;
default:
if (listOfTriangles.Count > 0)
{
for (int i = 0; i < listOfTriangles.Count; i++)
{
PrimitivesImage.Draw(new Triangle2DF(listOfTriangles[i][0], listOfTriangles[i][1], listOfTriangles[i][2]), new Bgr(Color.GreenYellow), 2);
}
}
if (listOfRect.Count > 0)
{
for (int i = 0; i < listOfRect.Count; i++)
{
PrimitivesImage.Draw(CvInvoke.MinAreaRect(listOfRect[i]), new Bgr(Color.GreenYellow), 2);
}
}
if (listOfCircles.Count > 0 && listOfCircles != null)
{
for (int i = 0; i < listOfCircles.Count; i++)
{
PrimitivesImage.Draw(listOfCircles[i], new Bgr(Color.GreenYellow), 2);
}
}
break;
}
return(Sum(SourseImage, PrimitivesImage));
}
