private void BubbleDetectBtn_Click(object sender, EventArgs e)
{
//Applying Operations on transformed Image
transformedImage = transformedImage.Resize(400, 400, Emgu.CV.CvEnum.Inter.Linear);
Image <Bgr, byte> transCopy = transformedImage.Copy();
Emgu.CV.Util.VectorOfVectorOfPoint qtnVect = new Emgu.CV.Util.VectorOfVectorOfPoint();
Image <Gray, byte> qtnGray = transCopy.Convert <Gray, byte>();
Image <Gray, byte> copyG = qtnGray.Copy();
CvInvoke.GaussianBlur(qtnGray, qtnGray, new Size(5, 5), 0);
CvInvoke.AdaptiveThreshold(qtnGray, qtnGray, 255, Emgu.CV.CvEnum.AdaptiveThresholdType.GaussianC, Emgu.CV.CvEnum.ThresholdType.Binary, 55, 9);
CvInvoke.BitwiseNot(qtnGray, qtnGray);
CvInvoke.FindContours(qtnGray, qtnVect, null, Emgu.CV.CvEnum.RetrType.External, Emgu.CV.CvEnum.ChainApproxMethod.ChainApproxSimple, default);
//CIRCLE METHOD
List <CircleF> circList = new List <CircleF>();
Emgu.CV.Util.VectorOfVectorOfPoint test = new Emgu.CV.Util.VectorOfVectorOfPoint();
Emgu.CV.Util.VectorOfPoint qtnApprox = new Emgu.CV.Util.VectorOfPoint();
Dictionary <int, double> qtnDict = new Dictionary <int, double>();
if (qtnVect.Size > 0)
{
for (int i = 0; i < qtnVect.Size; i++)
{
double area = CvInvoke.ContourArea(qtnVect[i]);
if (area > 70)
{
qtnDict.Add(i, area);
}
}
var item = qtnDict.OrderByDescending(v => v.Value); //.Take(1);
Emgu.CV.Util.VectorOfPoint approxList = new Emgu.CV.Util.VectorOfPoint();
foreach (var it in item)
{
int key = Convert.ToInt32(it.Key.ToString());
double peri = CvInvoke.ArcLength(qtnVect[key], true);
CvInvoke.ApproxPolyDP(qtnVect[key], qtnApprox, 0.02 * peri, true);
if (qtnApprox.Size == 0)
{
}
else if (qtnApprox.Size > 6)
{
CircleF circle = CvInvoke.MinEnclosingCircle(qtnVect[key]);
Point centre = new Point();
centre.X = (int)circle.Center.X;
centre.Y = (int)circle.Center.Y;
CvInvoke.Circle(transformedImage, centre, (int)circle.Radius, new MCvScalar(0, 255, 0), 2, Emgu.CV.CvEnum.LineType.Filled, 0);
//break;
}
}
MessageBox.Show("Bubbles Detected");
bubbleImage.Image = transformedImage;
}
}
private VectorOfPoint DetectHand(Mat processedImage)
{
Mat copy = new Mat();
CvInvoke.CvtColor(processedImage, copy, ColorConversion.Bgr2Hsv);
/*CvInvoke.InRange(processedImage, new ScalarArray(new MCvScalar(low_H, low_S, low_V)), new ScalarArray(new MCvScalar(high_H, high_S, high_V)), copy);*/
CvInvoke.InRange(processedImage, new ScalarArray(new MCvScalar(0, 63, 59)), new ScalarArray(new MCvScalar(19, 228, 247)), copy);
CvInvoke.Erode(copy, copy, null, new System.Drawing.Point(-1, -1), 5, BorderType.Constant, CvInvoke.MorphologyDefaultBorderValue);
CvInvoke.Dilate(copy, copy, null, new System.Drawing.Point(-1, -1), 5, BorderType.Constant, CvInvoke.MorphologyDefaultBorderValue);
VectorOfVectorOfPoint contours = new VectorOfVectorOfPoint();
VectorOfPoint biggestContour = new VectorOfPoint();
CvInvoke.FindContours(copy, contours, null, RetrType.List, ChainApproxMethod.ChainApproxSimple);
if (contours.Size > 0)
{
biggestContour = contours[0];
for (int i = 0; i < contours.Size; i++)
{
if (contours[i].Size > biggestContour.Size)
{
biggestContour = contours[i];
}
}
CvInvoke.ApproxPolyDP(biggestContour, biggestContour, 0.0015, true);
handFrames++;
return(biggestContour);
}
return(new VectorOfPoint());
}
public Image <Bgr, byte> findrectangles(Image <Bgr, byte> image, int n1, int n2, int thicc, int tresh, int delta)
{
Image <Gray, byte> binarizedImage = blur(image, n1, n2);
var contours = new VectorOfVectorOfPoint();
CvInvoke.FindContours(
binarizedImage,
contours,
null,
RetrType.List,
ChainApproxMethod.ChainApproxSimple);
var contoursImage = image.Copy();
var approxContour = new VectorOfPoint();
for (int i = 0; i < contours.Size; i++)
{
CvInvoke.ApproxPolyDP(
contours[i],
approxContour,
CvInvoke.ArcLength(contours[i], true) * 0.05,
true);
if (CvInvoke.ContourArea(approxContour, false) > tresh)
{
var points = approxContour.ToArray();
if (isRectangle(points, delta) == true)
{
contoursImage.Draw(CvInvoke.MinAreaRect(approxContour), new Bgr(Color.GreenYellow), thicc);
}
}
}
return(contoursImage);
}
private static VectorOfVectorOfPoint FindBiggestContour(Mat image)
{
var biggest = new VectorOfPoint();
double max_area = 0;
var contours = new VectorOfVectorOfPoint();
var biggestContour = new VectorOfVectorOfPoint();
var hierarchy = new Mat();
CvInvoke.FindContours(image, contours, hierarchy, RetrType.Tree, ChainApproxMethod.ChainApproxSimple);
for (int i = 0; i < contours.Size; ++i)
{
var area = CvInvoke.ContourArea(contours[i]);
if (area > 100)
{
var peri = CvInvoke.ArcLength(contours[i], true);
CvInvoke.ApproxPolyDP(contours[i], contours[i], 0.02 * peri, true); //Aproximate to ideal lines
if (area > max_area)
{
biggest = contours[i];
max_area = area;
}
}
}
biggestContour.Push(biggest);
return(biggestContour);
}
public void _findOutline()
{
using (var im = _mat.Clone())
{
VectorOfVectorOfPoint contours = new VectorOfVectorOfPoint();
CvInvoke.FindContours(im, contours, null, RetrType.List, ChainApproxMethod.ChainApproxSimple);
var cts = contours.ToArrayOfArray()
.Select(x => CvInvoke.ConvexHull(x.Select(y => new PointF(y.X, y.Y)).ToArray())).ToArray();
var cnt = cts.OrderByDescending(z => CvInvoke.ContourArea(new VectorOfPointF(z))).ToList();
var result = new VectorOfPointF();
foreach (var c in cnt)
{
var vop = new VectorOfPointF(c);
var peri = CvInvoke.ArcLength(vop, true);
var approx = new VectorOfPointF();
CvInvoke.ApproxPolyDP(vop, approx, _approxE * peri, true);
if (approx.Size == 4)
{
result = approx;
break;
}
}
_outline = result;
}
}
private void DetectShapesToolStripMenuItem_Click(object sender, EventArgs e)
{
if (_imgInput == null)
{
return;
}
try
{
var tmpCnt = ExtractContours(_imgInput);
var contours = FilterContours(tmpCnt);
AddContoursToResCollection(_currentFile, _fileSize, contours, true);
for (var i = 0; i < contours.Size; i++)
{
var perimeter = CvInvoke.ArcLength(contours[i], true);
var approx = new VectorOfPoint();
CvInvoke.ApproxPolyDP(contours[i], approx, 0.03 * perimeter, true);
}
BuildClusterPack(_currentFile, contours);
pictureBox1.Image = _imgInput.AsBitmap();
//pictureBox2.Image = temp.AsBitmap();
}
catch (Exception ex)
{
listBox1.Items.Add(ex.Message);
}
}
public List <List <int[]> > getContours(string pathToImage, double tolerance)
{
img = new Image <Gray, byte>(pathToImage);
UMat uimage = new UMat();
contours = new VectorOfVectorOfPoint();
CvInvoke.FindContours(img, contours, null, RetrType.List, ChainApproxMethod.ChainApproxSimple);
List <List <int[]> > allPoints = new List <List <int[]> >();
int count = contours.Size;
nContours = count;
for (int i = 0; i < count; i++)
{
using (VectorOfPoint contour = contours[i])
using (VectorOfPoint approxContour = new VectorOfPoint())
{
CvInvoke.ApproxPolyDP(contour, approxContour, CvInvoke.ArcLength(contour, true) * tolerance, true);
Point[] pts = approxContour.ToArray();
List <int[]> contPoints = new List <int[]>();
for (int k = 0; k < pts.Length; k++)
{
int[] pointsCord = new int[2];
pointsCord[0] = pts[k].X;
pointsCord[1] = pts[k].Y;
contPoints.Add(pointsCord);
}
allPoints.Add(contPoints);
}
}
return(allPoints);
}
public void FindBoundPolygon()
{
// find convexhull
PointF[] ps = new PointF[this.slicePoints2d.Count];
for (int i = 0; i < this.slicePoints2d.Count; i++)
{
PointF p = new PointF((float)this.slicePoints2d[i].x, (float)this.slicePoints2d[i].y);
ps[i] = p;
}
PointF[] hull = CvInvoke.ConvexHull(ps);
// find boundary polygon
VectorOfPointF hull2 = new VectorOfPointF();
hull2.Push(hull);
VectorOfPointF poly = new VectorOfPointF();
// when inferring # of polygon edge, the 3-rd param can be [0.0005,0.0015], than choose the best(how to define "best"??)
CvInvoke.ApproxPolyDP(hull2, poly, 0.0003, true);
for (int i = 0; i < poly.Size; i++)
{
this.cornerPoints2d.Add(new MyVector2(poly[i].X, poly[i].Y));
}
// unproject to 3d
foreach (MyVector2 corner2d in this.cornerPoints2d)
{
MyVector3 corner3d = frame.GetPointSpaceCoord(new MyVector3(corner2d, 0.0));
this.cornerPoints3d.Add(corner3d);
}
}
private Point[] GetLargestContour(VectorOfVectorOfPoint contours)
{
Point[] largestContour = new Point[0];
var maxPeri = 0.0;
for (int i = 0; i < contours.Size; i++)
{
var contourVector = contours[i];
using var contour = new VectorOfPoint();
var peri = CvInvoke.ArcLength(contourVector, true);
var area = CvInvoke.ContourArea(contourVector);
CvInvoke.ApproxPolyDP(contourVector, contour, 0.1 * peri, true);
if (contour != null) // && contour.ToArray().Length == 4 && CvInvoke.IsContourConvex(contour)
{
if (peri > maxPeri)
{
largestContour = contour.ToArray();
maxPeri = peri;
}
}
}
return(largestContour);
}
private void AutoCrop(string path)
{
using var image = new Image <Bgr, byte>(path);
// Grayscale
var grayScaleImage = image.Convert <Gray, byte>();
// Applying GaussianBlur
var blurredImage = grayScaleImage.SmoothGaussian(5, 5, 0, 0);
// OR
CvInvoke.GaussianBlur(grayScaleImage, blurredImage, new Size(5, 5), 0);
// Applying Canny algorithm
var cannyImage = new UMat();
CvInvoke.Canny(blurredImage, cannyImage, 50, 150);
// Finding largest contours
var contours = new VectorOfVectorOfPointF();
CvInvoke.FindContours(cannyImage, contours, null, RetrType.Tree, ChainApproxMethod.ChainApproxSimple);
for (int i = 0; i < contours.Size; i++)
{
var contourVector = contours[i];
using var contour = new VectorOfPoint();
var peri = CvInvoke.ArcLength(contourVector, true);
CvInvoke.ApproxPolyDP(contourVector, contour, 0.1 * peri, true);
if (contour.ToArray().Length == 4 && CvInvoke.IsContourConvex(contour))
{
Debug.WriteLine(contour.ToString());
// return contour;
}
}
}
public static List <Triangle2DF> GetTraingles(UMat thresholeded)
{
List <Triangle2DF> _triangleList = new List <Triangle2DF>();
using (VectorOfVectorOfPoint contours = new VectorOfVectorOfPoint())
{
//try to find contours on previously prepared image -->
CvInvoke.FindContours(thresholeded, contours, null, RetrType.List, ChainApproxMethod.ChainApproxSimple);
int count = contours.Size;
for (int i = 0; i < count; i++)
{
using (VectorOfPoint contour = contours[i])
using (VectorOfPoint approxContour = new VectorOfPoint())
{
CvInvoke.ApproxPolyDP(contour, approxContour, CvInvoke.ArcLength(contour, true) * 0.04, true);
if (CvInvoke.ContourArea(approxContour, false) > 1)
{
//triangle has 3 contours -->
if (approxContour.Size == 3)
{
Point[] pts = approxContour.ToArray();
_triangleList.Add(new Triangle2DF(
pts[0],
pts[1],
pts[2]
));
}
}
}
}
}
return(_triangleList);
}
public static List <VectorOfPoint> GetContours(Image <Gray, Byte> image, ChainApproxMethod apxMethod = ChainApproxMethod.ChainApproxSimple, RetrType retrievalType = RetrType.List, double accuracy = 0.001d, double minimumArea = 10)
{
List <VectorOfPoint> convertedContours = new List <VectorOfPoint>();
using (VectorOfVectorOfPoint contours = new VectorOfVectorOfPoint())
{
using (Image <Gray, Byte> tempImage = image.Copy())
{
CvInvoke.FindContours(tempImage, contours, null, retrievalType, apxMethod);
}
int count = contours.Size;
for (int i = 0; i < count; i++)
{
using (VectorOfPoint contour = contours[i])
{
VectorOfPoint approxContour = new VectorOfPoint();
CvInvoke.ApproxPolyDP(contour, approxContour, accuracy, false);
if (CvInvoke.ContourArea(approxContour, false) > minimumArea)
{
convertedContours.Add(approxContour);
}
}
}
}
return(convertedContours);
}
private Mat CannyShapeDetection(Mat frame)
{
Mat returnImg = new Mat(frame.Rows, frame.Cols, frame.Depth, frame.NumberOfChannels);
CvInvoke.Canny(frame, returnImg, cannyThreshold, cannyThresholdLinking);
List <Triangle2DF> triangleList = new List <Triangle2DF>();
using (VectorOfVectorOfPoint contours = new VectorOfVectorOfPoint()) {
CvInvoke.FindContours(returnImg, contours, null, RetrType.List, ChainApproxMethod.ChainApproxSimple);
int count = contours.Size;
for (int i = 0; i < count; i++)
{
using (VectorOfPoint contour = contours[i])
using (VectorOfPoint approxContour = new VectorOfPoint()) {
CvInvoke.ApproxPolyDP(contour, approxContour, CvInvoke.ArcLength(contour, true) * 0.05, true);
if (CvInvoke.ContourArea(approxContour, false) > 250)
{
if (approxContour.Size == 3)
{
var pts = approxContour.ToArray();
triangleList.Add(new Triangle2DF(pts[0], pts[1], pts[2]));
}
}
}
}
}
foreach (var triangle in triangleList)
{
CvInvoke.Polylines(returnImg, Array.ConvertAll(triangle.GetVertices(), System.Drawing.Point.Round), true, new MCvScalar(255));
}
return(returnImg);
}
private void FindGlassTopContour()
{
VectorOfPoint contour = new VectorOfPoint();
VectorOfPoint approxContour = new VectorOfPoint();
VectorOfPoint longestContour = new VectorOfPoint();
VectorOfPoint longestContourApprox = new VectorOfPoint();
int maxLength = 0;
for (int i = 0; i < _contours.Size; i++)
{
contour = _contours[i];
CvInvoke.ApproxPolyDP(contour, approxContour, CvInvoke.ArcLength(contour, true) * 0.1, true);
if (approxContour.Size == 2)
{
if ((approxContour.ToArray()[0].Y > _topLiquidPoint1.Y) ||
(approxContour.ToArray()[1].Y > _topLiquidPoint2.Y))
{
continue;
}
if (maxLength < (int)CvInvoke.ArcLength(approxContour, false))
{
maxLength = (int)CvInvoke.ArcLength(approxContour, false);
longestContour = contour;
longestContourApprox = approxContour;
}
}
}
_glassTopContour = longestContour;
_approxGlassTopContour = approxContour;
}
private static List <RotatedRect> LineCorners(Image <Gray, byte> mImgThreshold)
{
List <RotatedRect> boxList = new List <RotatedRect>();
using (VectorOfVectorOfPoint contours = new VectorOfVectorOfPoint())
{
CvInvoke.FindContours(mImgThreshold, contours, null, RetrType.List, ChainApproxMethod.ChainApproxSimple);
var count = contours.Size;
for (var i = 0; i < count; i++)
{
using (VectorOfPoint contour = contours[i])
using (VectorOfPoint approxContour = new VectorOfPoint())
{
CvInvoke.ApproxPolyDP(contour, approxContour, CvInvoke.ArcLength(contour, true) * 0.05, true);
//if (CvInvoke.ContourArea(approxContour, false) < 10) //only consider contours with area greater than 250
// continue;
if (approxContour.Size != 2) // line
{
continue;
}
if (approxContour[1].X - approxContour[0].X < 5
// || approxContour[1].Y - approxContour[0].Y < 2
)
{
continue;
}
boxList.Add(CvInvoke.MinAreaRect(approxContour));
}
}
}
return(boxList);
}
private IEnumerable <Rectangle> GetBoundariesForProcessedImage(Mat edges)
{
List <Rectangle> boxList = new List <Rectangle>();
using (VectorOfVectorOfPoint contours = new VectorOfVectorOfPoint())
{
CvInvoke.FindContours(edges, contours, null, RetrType.List, ChainApproxMethod.ChainApproxSimple);
int contourCount = contours.Size;
for (int i = 0; i < contourCount; i++)
{
using (VectorOfPoint approxContour = new VectorOfPoint())
using (VectorOfPoint approx = contours[i])
{
CvInvoke.ApproxPolyDP(approx, approxContour, CvInvoke.ArcLength(approx, true) * 0.035, true);
Point[] pts = approxContour.ToArray();
LineSegment2D[] edgesList = PointCollection.PolyLine(pts, true);
double contourArea = CvInvoke.ContourArea(approxContour, true);
if (contourArea >= 500 && contourArea <= edges.Width * edges.Height / 5.0)
{
Rectangle contourRectangle = GetRectangleFromContour(approxContour, edgesList);
if (contourRectangle != default(Rectangle))
{
boxList.Add(contourRectangle);
}
}
}
}
}
return(boxList);
}
public Image <Gray, Byte> RescaleImage(Image <Gray, Byte> image)
{
var contours = new VectorOfVectorOfPoint();
var hierarchy = new Mat();
CvInvoke.FindContours(image, contours, hierarchy, Emgu.CV.CvEnum.RetrType.Tree, Emgu.CV.CvEnum.ChainApproxMethod.ChainApproxSimple);
double largestArea = 0;
int index = -1;
for (int i = 0; i < contours.Size; i++)
{
double a = CvInvoke.ContourArea(contours[i], false);
if (a > largestArea)
{
largestArea = a;
index = i;
}
}
VectorOfPoint poly = new VectorOfPoint();
CvInvoke.ApproxPolyDP(contours[index], poly, 3, true);
Rectangle rect = CvInvoke.BoundingRectangle(poly);
image.ROI = rect;
var croppedImage = new Image <Gray, Byte>(image.Width, image.Height);
var resizedImage = new Image <Gray, Byte>(Width, Height);
croppedImage = image.Copy();
CvInvoke.Resize(croppedImage, resizedImage, new Size(Width, Height));
return(resizedImage);
}
private void detectShapeToolStripMenuItem_Click(object sender, EventArgs e)
{
if (imgInput == null)
{
return;
}
try
{
var tempImg = imgInput.SmoothGaussian(5).Convert <Gray, byte>().ThresholdBinaryInv(new Gray(230), new Gray(255));
VectorOfVectorOfPoint countors = new VectorOfVectorOfPoint();
Mat m = new Mat();
CvInvoke.FindContours(tempImg, countors, m, Emgu.CV.CvEnum.RetrType.External, Emgu.CV.CvEnum.ChainApproxMethod.ChainApproxSimple);
for (int i = 0; i < countors.Size; i++)
{
double perimeter = CvInvoke.ArcLength(countors[i], true);
VectorOfPoint approx = new VectorOfPoint();
CvInvoke.ApproxPolyDP(countors[i], approx, 0.04 * perimeter, true);
CvInvoke.DrawContours(imgInput, countors, i, new MCvScalar(0, 0, 255), 2);
//moments center of the shape
var moments = CvInvoke.Moments(countors[i]);
int x = (int)(moments.M10 / moments.M00);
int y = (int)(moments.M01 / moments.M00);
if (approx.Size == 3)
{
CvInvoke.PutText(imgInput, "Triangle", new Point(x, y), Emgu.CV.CvEnum.FontFace.HersheySimplex, 0.5, new MCvScalar(0, 0, 255), 2);
}
if (approx.Size == 4)
{
Rectangle rec = CvInvoke.BoundingRectangle(countors[i]);
double ar = (double)rec.Height / rec.Width;
if (ar >= 0.95 && ar <= 1.05)
{
CvInvoke.PutText(imgInput, "Square", new Point(x, y), Emgu.CV.CvEnum.FontFace.HersheySimplex, 0.5, new MCvScalar(0, 0, 255), 2);
}
else
{
CvInvoke.PutText(imgInput, "Rectangle", new Point(x, y), Emgu.CV.CvEnum.FontFace.HersheySimplex, 0.5, new MCvScalar(0, 0, 255), 2);
}
}
if (approx.Size == 6)
{
CvInvoke.PutText(imgInput, "Hexagon", new Point(x, y), Emgu.CV.CvEnum.FontFace.HersheySimplex, 0.5, new MCvScalar(0, 0, 255), 2);
}
if (approx.Size > 6)
{
CvInvoke.PutText(imgInput, "Circle", new Point(x, y), Emgu.CV.CvEnum.FontFace.HersheySimplex, 0.5, new MCvScalar(0, 0, 255), 2);
}
pictureBox2.Image = imgInput.ToBitmap();
}
}
catch (Exception ex)
{
MessageBox.Show(ex.Message);
}
}
private static VectorOfPoint getLinkedContoursOfImage(VectorOfPoint contour)
{
VectorOfPoint approxContour = new VectorOfPoint();
CvInvoke.ApproxPolyDP(contour, approxContour, CvInvoke.ArcLength(contour, true) * 0.05, true);
return(approxContour);
}
public static List <Point> ApproximationPoints(List <Point> points)
{
var points1 = new Points(points);
var drawingPoints = points1.ConvertToDrawingPoints();
var vectorPoints = new VectorOfPoint(drawingPoints);
VectorOfPoint approximation = new VectorOfPoint();
CvInvoke.ApproxPolyDP(vectorPoints, approximation, DataHandler.FindMaxInAllData(points).Count * 0.03, true);
return(ConvertApproximationToPoints(approximation));
}
private void fnFindTriangleRect()
{
triangleRectImage = img.CopyBlank();
using (VectorOfVectorOfPoint contours = new VectorOfVectorOfPoint())
{
CvInvoke.FindContours(cannyEdges, contours, null, RetrType.List, ChainApproxMethod.ChainApproxSimple);
int count = contours.Size;
for (int i = 0; i < count; i++)
{
using (VectorOfPoint contour = contours[i])
using (VectorOfPoint approxContour = new VectorOfPoint())
{
CvInvoke.ApproxPolyDP(contour, approxContour, CvInvoke.ArcLength(contour, true) * 0.05, true);
if (CvInvoke.ContourArea(approxContour, false) > 250) //only consider contour with area > 250
{
if (approxContour.Size == 3) //The contour has 3 vertices, is a triangle
{
Point[] pts = approxContour.ToArray();
triangleList.Add(new Triangle2DF(pts[0], pts[1], pts[2]));
}
else if (approxContour.Size == 4) // The contour has 4 vertices
{
#region Determine if all the angles in the contours are within [80,100] degree
bool isRectangle = true;
Point[] pts = approxContour.ToArray();
LineSegment2D[] edges = PointCollection.PolyLine(pts, true);
for (int j = 0; j < edges.Length; j++)
{
double dAngle = Math.Abs(edges[(j + 1) % edges.Length].GetExteriorAngleDegree(edges[j]));
if (dAngle < 80 || dAngle > 100)
{
isRectangle = false;
break;
}
}
#endregion
if (isRectangle)
{
boxList.Add(CvInvoke.MinAreaRect(approxContour));
}
}
}
}
}
}
foreach (Triangle2DF triangle in triangleList)
{
triangleRectImage.Draw(triangle, new Bgr(Color.DarkBlue), 2);
}
foreach (RotatedRect box in boxList)
{
triangleRectImage.Draw(box, new Bgr(Color.Red), 2);
}
ImgBox_Triangle_Rect.Image = triangleRectImage.Bitmap;
}
private void shapeDetectorToolStripMenuItem_Click(object sender, EventArgs e)
{
if (ActiveMdiChild is ImageView)
{
string shape;
// Variables
Image <Gray, byte> gray = ((ImageView)ActiveMdiChild).Mat.ToImage <Gray, byte>();
Image <Gray, byte> thresh = ((ImageView)ActiveMdiChild).Mat.ToImage <Gray, byte>();
VectorOfVectorOfPoint contours = new VectorOfVectorOfPoint();
// Smoothing and Thresholding
gray = gray.SmoothGaussian(3);
CvInvoke.Threshold(gray, thresh, 127, 255, ThresholdType.Binary);
// Calling findContours from threshold
CvInvoke.FindContours(gray, contours, new Mat(), RetrType.List, ChainApproxMethod.ChainApproxSimple);
// Getting contour from vector
VectorOfPoint cnt = contours[0];
VectorOfPoint approx = new VectorOfPoint();
CvInvoke.ApproxPolyDP(cnt, approx, 3, true);
Rectangle rect = CvInvoke.BoundingRectangle(cnt);
double aspectRatio = (double)(rect.Width) / rect.Height;
// Detecting shape using approximation of polygon
if (approx.Size == 3)
{
shape = "triangle";
}
else if (approx.Size == 4)
{
if (aspectRatio >= 0.95 && aspectRatio <= 1.05)
{
shape = "square";
}
else
{
shape = "rectangle";
}
}
else
{
shape = "circle";
}
shapeDetectionView = new ShapeDetectionView(((ImageView)ActiveMdiChild).FileName, shape);
shapeDetectionView.ShowDialog();
}
else
{
MessageBox.Show("Image shold be selected!", "Filtering Error", MessageBoxButtons.OK, MessageBoxIcon.Error, MessageBoxDefaultButton.Button1);
}
}
public Image <Bgr, byte> Lab4Func(int t = 0, double trhld = 80, double minzone = 50)
{
var grayImage = MainImageExp.Convert <Gray, byte>();
int kernelSize = 5; // радиусразмытия
var bluredImage = grayImage.SmoothGaussian(kernelSize);
var threshold = new Gray(trhld); // пороговоезначение
var color = new Gray(255); // этим цветомбудут закрашены пиксели,имеющие значение >threshold
var binarizedImage = bluredImage.ThresholdBinary(threshold, color);
var contours = new VectorOfVectorOfPoint(); // контейнер для хранения контуров
CvInvoke.FindContours(
binarizedImage, // исходное чёрно-белое изображение
contours, // найденные контуры
null, // объект для хранения иерархии контуров (в данном случае не используется)
RetrType.List, // структура возвращаемых данных (в данном случае список)
ChainApproxMethod.ChainApproxSimple);
var contoursImage = MainImageExp.CopyBlank();
var approxContour = new VectorOfPoint();
ShT = 0;
ShR = 0;
for (int i = 0; i < contours.Size; i++)
{
CvInvoke.ApproxPolyDP(
contours[i], // исходныйконтур
approxContour, // контурпослеаппроксимации
CvInvoke.ArcLength(contours[i], true) * 0.05, // точностьаппроксимации, прямо//пропорциональнаяплощадиконтура
true); // контур становится закрытым (первая и последняя точки соединяются)}
if (CvInvoke.ContourArea(approxContour, false) > minzone)
{
if (approxContour.Size == 3 && (t == 3 || t == 0))
{
ShT++;
var points = approxContour.ToArray();
contoursImage.Draw(new Triangle2DF(points[0], points[1], points[2]),
new Bgr(Color.GreenYellow), 2);
}
if (approxContour.Size == 4 && (t == 4 || t == 0))
{
var points = approxContour.ToArray();
if (isRectangle(points) == true)
{
ShR++;
contoursImage.Draw(CvInvoke.MinAreaRect(approxContour),
new Bgr(Color.GreenYellow), 2);
}
}
}
}
MainImageExp = contoursImage.Convert <Bgr, byte>();
return(MainImageExp);
}
public Image <Bgr, byte> GetPalm(Mat mask)
{
int width = mask.Width;
int height = mask.Height;
var temp = new Mat();
var result = mask.ToImage <Bgr, byte>();
VectorOfVectorOfPoint contours = new VectorOfVectorOfPoint();
VectorOfPoint biggestContour = new VectorOfPoint();
CvInvoke.FindContours(mask, contours, null, RetrType.List, ChainApproxMethod.ChainApproxSimple);
if (contours.Size > 0)
{
biggestContour = contours[0];
for (int i = 0; i < contours.Size; i++)
{
if (contours[i].Size > biggestContour.Size)
{
biggestContour = contours[i];
}
}
}
if (biggestContour.Size != 0)
{
//Gaunam rankos konturus
CvInvoke.ApproxPolyDP(biggestContour, biggestContour, 0.00000001, false);
var points = biggestContour.ToArray();
VectorOfInt hull = new VectorOfInt();
//find the palm hand area using convexitydefect
CvInvoke.ConvexHull(biggestContour, hull, true);
var box = CvInvoke.MinAreaRect(biggestContour);
Mat defects = new Mat();
CvInvoke.ConvexityDefects(biggestContour, hull, defects);
if (!defects.IsEmpty)
{
//Data from Mat are not directly readable so we convert it to Matrix<>
Matrix <int> m = new Matrix <int>(defects.Rows, defects.Cols, defects.NumberOfChannels);
defects.CopyTo(m);
for (int i = 0; i < m.Rows; i++)
{
int startIdx = m.Data[i, 0];
int endIdx = m.Data[i, 1];
Point startPoint = points[startIdx];
Point endPoint = points[endIdx];
//draw a line connecting the convexity defect start point and end point in thin red line
CvInvoke.Line(result, startPoint, endPoint, new MCvScalar(0, 0, 255));
}
}
}
return(result);
}
public static VectorOfVectorOfPoint getApproxContour(VectorOfVectorOfPoint vectors)
{
var approxContours = new VectorOfVectorOfPoint();
for (int i = 0; i < vectors.Size; i++)
{
var contour = new VectorOfPoint();
CvInvoke.ApproxPolyDP(vectors[i], contour, CvInvoke.ArcLength(vectors[i], true) * 0.05, true);
approxContours.Push(contour);
}
return(approxContours);
}
public bool Is_Triangle(VectorOfPoint hull)
{
CvInvoke.ApproxPolyDP(hull, hull, 10, true);
if (hull.Size == 3)
{
return(true);
}
else
{
return(false);
}
}
public static double Solidity(VectorOfPoint contour, VectorOfPoint convexHull)
{
double contourArea = CvInvoke.ContourArea(contour);
VectorOfPoint vpHull = new VectorOfPoint();
CvInvoke.ApproxPolyDP(convexHull, vpHull, 0.001, true);
double hullArea = Math.Abs(CvInvoke.ContourArea(vpHull));
return(contourArea / hullArea);
}
//fonction pour dessiner les limits des obj et creer leur centroide
List <RotatedRect> DrawRectangle(Image <Gray, byte> imageSeuil, String name)
{
List <RotatedRect> boxList = new List <RotatedRect>();
contours = new VectorOfVectorOfPoint();
Mat m = new Mat();
CvInvoke.FindContours(imageSeuil, contours, m, Emgu.CV.CvEnum.RetrType.External, Emgu.CV.CvEnum.ChainApproxMethod.ChainApproxSimple);
for (int i = 0; i < contours.Size; i++)
{
double perimeter = CvInvoke.ArcLength(contours[i], true);
VectorOfPoint approx = new VectorOfPoint();
CvInvoke.ApproxPolyDP(contours[i], approx, 0.04 * perimeter, true);
if (CvInvoke.ContourArea(approx, false) > 250) //only consider contours with area greater than 250
{
if (approx.Size == 4) //The contour has 4 vertices, it is a rectangle
{
bool isRectangle = true;
Point[] pts = approx.ToArray();
LineSegment2D[] edges = PointCollection.PolyLine(pts, true);
for (int j = 0; j < edges.Length; j++)
{
double angle = Math.Abs(
edges[(j + 1) % edges.Length].GetExteriorAngleDegree(edges[j]));
if (angle < 80 || angle > 100)
{
isRectangle = false;
break;
}
}
if (isRectangle)
{
boxList.Add(CvInvoke.MinAreaRect(approx));
}
}
foreach (RotatedRect box in boxList)
{
CvInvoke.Polylines(imageMat, Array.ConvertAll(box.GetVertices(), Point.Round), true,
new Bgr(System.Drawing.Color.Blue).MCvScalar, 2);
var moments = CvInvoke.Moments(contours[i]);
int x = (int)(moments.M10 / moments.M00);
int y = (int)(moments.M01 / moments.M00);
CvInvoke.PutText(imageMat, name, new Point(x, y), Emgu.CV.CvEnum.FontFace.HersheySimplex, 0.5, new MCvScalar(0, 0, 255), 2);
}
}
}
return(boxList);
}
private Triangle2DF TriangleFromInfrared(Mat infraredMat)
{
Image <Gray, short> infraredImg = infraredMat.ToImage <Gray, short>();
var smoothedInfraredImg = infraredImg.PyrDown();
smoothedInfraredImg = smoothedInfraredImg.PyrUp();
using (Mat convertedMat = new Mat(infraredMat.Size, DepthType.Cv8U, 1))
using (Mat multiplierMat = new Mat(infraredMat.Size, DepthType.Cv8U, 1)) {
infraredImg.Mat.ConvertTo(convertedMat, DepthType.Cv8U, 1d / 256d);
multiplierMat.SetTo(new MCvScalar(infraMultiplier));
CvInvoke.Multiply(convertedMat, multiplierMat, convertedMat);
Mat thresholdMat = new Mat(infraredMat.Size, DepthType.Cv8U, 1);
CvInvoke.Threshold(convertedMat, thresholdMat, 230, 255, ThresholdType.Binary);
List <Triangle2DF> triangleList = new List <Triangle2DF>();
using (VectorOfVectorOfPoint contours = new VectorOfVectorOfPoint()) {
CvInvoke.FindContours(thresholdMat, contours, null, RetrType.List, ChainApproxMethod.ChainApproxSimple);
int count = contours.Size;
for (int i = 0; i < count; i++)
{
using (VectorOfPoint contour = contours[i])
using (VectorOfPoint approxContour = new VectorOfPoint()) {
CvInvoke.ApproxPolyDP(contour, approxContour, CvInvoke.ArcLength(contour, true) * 0.05, true);
if (CvInvoke.ContourArea(approxContour, false) > 250)
{
if (approxContour.Size == 3)
{
var pts = approxContour.ToArray();
triangleList.Add(new Triangle2DF(pts[0], pts[1], pts[2]));
}
}
}
}
}
var biggestTri = triangleList.OrderBy((tri) => tri.Area).FirstOrDefault();
CvInvoke.Polylines(thresholdMat, Array.ConvertAll(biggestTri.GetVertices(), System.Drawing.Point.Round), true, new MCvScalar(255));
foreach (var triangle in triangleList)
{
CvInvoke.Polylines(convertedMat, Array.ConvertAll(triangle.GetVertices(), System.Drawing.Point.Round), true, new MCvScalar(255));
}
//CvInvoke.Imshow("threshold", thresholdMat);
return(biggestTri);
}
}
public void FindRectangles()
{
Image <Gray, byte> img = originalMat.ToImage <Bgr, byte>().Canny(127, 255);
VectorOfVectorOfPoint contours = new VectorOfVectorOfPoint();
Mat mat = new Mat();
CvInvoke.FindContours(img, contours, mat, RetrType.External, ChainApproxMethod.ChainApproxSimple);
VectorOfPoint contour = new VectorOfPoint();
VectorOfVectorOfPoint squares = new VectorOfVectorOfPoint();
for (int i = 0; i < contours.Size; i++)
{
CvInvoke.ApproxPolyDP(contours[i], contour, CvInvoke.ArcLength(contours[i], true) * 0.02, true);
if (contour.Size == 4 && Math.Abs(CvInvoke.ContourArea(contour)) > SearchSize && CvInvoke.IsContourConvex(contour))
{
Rectangle rect = CvInvoke.BoundingRectangle(contour);
Rectangle maskRect = new Rectangle(rect.Location, rect.Size);
Size inflateSize = new Size((int)(maskRect.Width * -0.1), (int)(maskRect.Height * -0.1));
maskRect.Inflate(inflateSize);
Mat shapeMat = new Mat(originalMat, maskRect);
int[] colorScalars = CvInvoke.Mean(shapeMat).ToArray().Select(x => (int)x).ToArray();
Color color = Color.FromArgb(255, colorScalars[2], colorScalars[1], colorScalars[0]);
if (color.ToArgb() == Color.ToArgb())
{
double maxCosine = 0.0;
for (int j = 2; j < 5; j++)
{
double cosine = Math.Abs(Angle(contour[j % 4], contour[j - 2], contour[j - 1]));
maxCosine = cosine > maxCosine ? cosine : maxCosine;
}
if (maxCosine < 0.3)
{
squares.Push(contour);
}
}
}
}
Image <Bgr, byte> imgOut = new Image <Bgr, byte>(originalImage);
CvInvoke.DrawContours(imgOut, squares, -1, new MCvScalar(0, 0, 255));
image.Image = new Bitmap(imgOut.Bitmap);
imgOut.Dispose();
}
