/*ROI检测*/
void Region_Detection(int id)
{
using (MemStorage storage = new MemStorage()) //allocate storage for contour(轮廓) approximation
for (
Contour <Point> contours = slide_gray_img[id].FindContours(
Emgu.CV.CvEnum.CHAIN_APPROX_METHOD.CV_CHAIN_APPROX_SIMPLE,
Emgu.CV.CvEnum.RETR_TYPE.CV_RETR_LIST,
storage);
contours != null;
contours = contours.HNext)
{
Contour <Point> currentContour = contours.ApproxPoly(contours.Perimeter * 0.05, storage); //逼近多边形曲线
if (currentContour.Area < size_of_roi) //only consider contours with area greater than 250
{
tempbox = currentContour.GetMinAreaRect();
//保证roi在中心位置
if (tempbox.size.Height >= 10 && tempbox.size.Width >= 10 &&
tempbox.center.X > slide[id].Width * 0.17 && tempbox.center.X < slide[id].Width * 0.83)
{
roi[id] = tempbox.MinAreaRect();
Rectangle absRoi = ConvertToAbsolute(roi[id], slide[id]);
Image <Bgr, Byte> RectangleImage = frame;
RectangleImage.Draw(absRoi, new Bgr(Color.Blue), 2);
imageBox3.Image = RectangleImage;
if (id == maxNum)
{
scanDone = true;
}
break;
}
}
}
}
private void DetectContours()
{
using (MemStorage stor = new MemStorage())
{
//Find contours with no holes try CV_RETR_EXTERNAL to find holes
Contour <System.Drawing.Point> contours = binImage.FindContours(
Emgu.CV.CvEnum.CHAIN_APPROX_METHOD.CV_LINK_RUNS,
Emgu.CV.CvEnum.RETR_TYPE.CV_RETR_CCOMP,
stor);
int objectCount = 0;
for (; contours != null; contours = contours.HNext)
{
MCvBox2D box = contours.GetMinAreaRect();
if (contours.Area > 20)
{
float centerX = box.center.X;
float centerY = box.center.Y;
imageToDisplay.Draw(box.MinAreaRect(), new Gray(200), 2);
imageToDisplay.Draw(new CircleF(box.center, 2), new Gray(0), 2);
int x = (int)(centerX + 0.5) * 2;
int y = (int)(centerY + 0.5) * 2;
double depth = ExperimentalDepth(x, y);
double rx = GetX(x, depth);
double ry = GetY(y, depth);
string text = String.Format("{0:F2}, {1:F2}, {2:F2}", rx, ry, depth);
//if (isWriting) dataContainer += depth.ToString() + "\n";
if (isWriting)
{
dataContainer += text + "\n";
}
DrawText(text, (int)(centerX - box.size.Width / 2), (int)(centerY - box.size.Height), coordFont);
objectCount++;
}
}
DrawText("Objects detected: " + objectCount.ToString(), 20, 20, textFont);
}
}
Rectangle FindBestBoundingBox(Rectangle initialRect)
{
if (!initialRect.IsEmpty)
{
CvInvoke.cvCamShift(SmoothedDepth.Ptr, initialRect, new MCvTermCriteria(CamShiftIter),
out connectedComp, out shiftedRect);
Rectangle rect;
if (useShiftedRect)
{
rect = shiftedRect.MinAreaRect();
}
else
{
rect = connectedComp.rect;
}
if (rect.Width > 0 && rect.Height > 0)
{
return(rect);
}
}
return(Rectangle.Empty);
}
/*矩形检测*/
void Rectangle_Detection()
{
using (MemStorage storage = new MemStorage()) //allocate storage for contour(轮廓) approximation
for (
Contour <Point> contours = canny_out.FindContours(
Emgu.CV.CvEnum.CHAIN_APPROX_METHOD.CV_CHAIN_APPROX_SIMPLE,
Emgu.CV.CvEnum.RETR_TYPE.CV_RETR_LIST,
storage);
contours != null;
contours = contours.HNext)
{
Contour <Point> currentContour = contours.ApproxPoly(contours.Perimeter * 0.05, storage); //逼近多边形曲线
if (currentContour.Area > size_of_slide && isSlide == false) //only consider contours with area greater than 250
{
if (currentContour.Total == 4) //The contour has 4 vertices(顶点).
{
#region determine if all the angles in the contour are within [80, 100] degree
bool isRectangle = false;
Point[] pts = currentContour.ToArray();
LineSegment2D[] edges = PointCollection.PolyLine(pts, true);
for (int i = 0; i < edges.Length; i++)
{
double angle = Math.Abs(
edges[(i + 1) % edges.Length].GetExteriorAngleDegree(edges[i]));
if (angle >= 60 || angle <= 120)
{
isRectangle = true;
break;
}
}
#endregion
if (isRectangle)
{
slideSize.Text = Convert.ToString(size_of_slide);
tempbox = currentContour.GetMinAreaRect();
float tempboxp = tempbox.size.Width / tempbox.size.Height;
//从长宽比例判断轮廓是否为玻片
if (tempboxp > 2.7 && tempboxp < 3.3 ||
tempboxp > 1 / 3.3 && tempboxp < 1 / 2.7)
{
Image <Bgr, Byte> RectangleImage = frame;
RectangleImage.Draw(tempbox, new Bgr(Color.DarkOrange), 2);
imageBox3.Image = RectangleImage;
slide[slideNum] = tempbox.MinAreaRect();//外接面积最小矩形
slide_gray_img[slideNum] = canny_out.GetSubRect(slide[slideNum]);
if (slideNum < maxNum)
{
slideNum++;
}
else
{
isSlide = true;
slideNum = 0;
break;
}
}
}
}
}
}
}
private MCvBox2D SplitHand(MCvBox2D rect, HandEnum handEnum, PointF Elbow2HandVector)
{
if (handEnum == HandEnum.Both || handEnum == HandEnum.Intersect)
{
return new MCvBox2D(rect.center, rect.MinAreaRect().Size, 0);
}
PointF[] pl = rect.GetVertices();
Point[] splittedHands = new Point[4];
//find angle of long edge
PointF startP = pl[1];
PointF shortP = pl[0];
PointF longP = pl[2];
PointF ap1 = new PointF();
PointF ap2 = new PointF();
if (pl[0].DistanceTo(startP) > pl[2].DistanceTo(startP))
{
shortP = pl[2];
longP = pl[0];
}
SizeF size = new SizeF();
size.Width = shortP.DistanceTo(startP);
size.Height = longP.DistanceTo(startP);
PointF shortEdge = new PointF(shortP.X - startP.X, shortP.Y - startP.Y);
float t_angle = (float)(Math.Atan(shortEdge.Tan())*180/Math.PI);
MCvBox2D box = new MCvBox2D();
box.size = size;
box.center = pl.GetCenter();
float longDis = longP.DistanceTo(startP);
float shortDis = shortP.DistanceTo(startP);
// x and long edge slope
float longslope = Math.Abs(longP.X - startP.X) / longDis;
float min = float.MaxValue;
float factor = Math.Max(Math.Abs(longP.Y - startP.Y) / longDis, Math.Abs(longP.X - startP.X) / longDis);
int TransformEnd = Convert.ToInt32(factor * end);
int TransformBegin = Convert.ToInt32(factor * begin);
//Console.WriteLine(TransformBegin);
//Console.WriteLine(TransformEnd);
// > 45
if (longslope < 0.707)//vert
{
// point up
if (Elbow2HandVector.Y <= 0)
{
box.angle = t_angle;
startP = pl.OrderBy((x => x.Y)).First();
}
else
{
box.angle = t_angle + 180;
startP = pl.OrderByDescending((x => x.Y)).First();
}
if (longDis < minLength)
{
return box;
}
pl = pl.OrderBy(x => x.DistanceTo(startP)).ToArray();
shortP = pl[1];
longP = pl[2];
for (int y = TransformBegin; y < Convert.ToInt32(Math.Abs(longP.Y - startP.Y)) && Math.Abs(y) < TransformEnd; y++)
{
PointF p1 = InterPolateP(startP, longP, y / Math.Abs(longP.Y - startP.Y));
PointF p2 = new PointF(p1.X + shortP.X - startP.X, p1.Y + shortP.Y - startP.Y);
float dis = GetHandWidthBetween(p1, p2);
if (dis < min)
{
min = dis;
ap1 = p1;
ap2 = p2;
}
}
}
else // horizontal
{
// point top for right hand
if (t_angle <0)
{
if (handEnum == HandEnum.Right)
{
box.angle = t_angle;
}
else
{
box.angle = t_angle + 180;
}
}
// point bottom for right hand
else
{
if (handEnum == HandEnum.Right)
{
box.angle = t_angle - 180;
}
else
{
box.angle = t_angle;
}
}
if (handEnum == HandEnum.Right)
{
startP = pl.OrderBy((x => x.X)).ToArray()[0];
}
else if (handEnum == HandEnum.Left)
{
startP = pl.OrderByDescending((x => x.X)).ToArray()[0];
}
if (longDis < minLength)
{
return box;
}
pl = pl.OrderBy(x => x.DistanceTo(startP)).ToArray();
shortP = pl[1];
longP = pl[2];
for (int X = TransformBegin; X < Convert.ToInt32(Math.Abs(longP.X - startP.X)) && Math.Abs(X) < TransformEnd; X++)
{
PointF p1 = InterPolateP(startP, longP, X / Math.Abs(longP.X - startP.X));
PointF p2 = new PointF(p1.X + shortP.X - startP.X, p1.Y + shortP.Y - startP.Y);
float dis = GetHandWidthBetween(p1, p2);
if (dis < min)
{
min = dis;
ap1 = p1;
ap2 = p2;
}
}
}
if (ap1 == null || ap1 == PointF.Empty)
{
return box;
}
splittedHands[0] = startP.ToPoint();
splittedHands[1] = ap1.ToPoint();
splittedHands[2] = ap2.ToPoint();
splittedHands[3] = shortP.ToPoint();
//Point lowP = p.OrderByDescending(x => x.Y).First();
//Point highP = p.OrderByDescending(x => x.DistanceTo(lowP)).First();
//Point widthP = p.OrderBy(x => x.TanWith(lowP)).First();
box.center = splittedHands.GetCenter();
box.size.Height = startP.DistanceTo(ap1);
return box;
}
private void FindContourAndConvexHull(Image<Gray, byte> skin, Image<Bgr, byte> imageFrame)
{
using (MemStorage cacheStorage = new MemStorage())
{
//getting the countours by simplest algorithm and list in retourn (tree isn't necessary)
Contour<Point> contours = skin.FindContours(
Emgu.CV.CvEnum.CHAIN_APPROX_METHOD.CV_CHAIN_APPROX_SIMPLE,
Emgu.CV.CvEnum.RETR_TYPE.CV_RETR_LIST,
cacheStorage
);
//this variable will contain the biggest countour (if any avaiable)
Contour<Point> largestContour = null;
//searching for biggest countour
Double CurrArea = 0, MaxArea = 0;
while (contours != null)
{
CurrArea = contours.Area;
if (CurrArea > MaxArea)
{
MaxArea = CurrArea;
largestContour = contours;
}
contours = contours.HNext;
}
if (largestContour != null)
{
//drawing oryginal countour on image:
imageFrame.Draw(largestContour, new Bgr(Color.DarkViolet), 2);
//smoothing a bit the countour to make less amout of defects + draw:
Contour<Point> currentContour = largestContour.ApproxPoly(largestContour.Perimeter * 0.0025, cacheStorage);
imageFrame.Draw(currentContour, new Bgr(Color.LimeGreen), 2);
largestContour = currentContour;
//computing and drawing convex hull (smallest polygon that covers whole hand):
hull = largestContour.GetConvexHull(Emgu.CV.CvEnum.ORIENTATION.CV_CLOCKWISE);
imageFrame.DrawPolyline(hull.ToArray(), true, new Bgr(200, 125, 75), 2);
//computing smallest box (with angle), that covers the hull, and drawing without angle:
box = largestContour.GetMinAreaRect();
handRect = box.MinAreaRect();
imageFrame.Draw(handRect, new Bgr(200, 0, 0), 1);
//drawing the center of the box iwth hull:
imageFrame.Draw(new CircleF(new PointF(box.center.X, box.center.Y), 3), new Bgr(200, 125, 75), 2);
//drawing ellipse ("E") that containts most of the foun pixels:
if (largestContour.Count() >= 5)
{
ellip.MCvBox2D = CvInvoke.cvFitEllipse2(largestContour.Ptr);
imageFrame.Draw(new Ellipse(ellip.MCvBox2D), new Bgr(Color.LavenderBlush), 3);
}
//computing and drawing minimal enclosing circle, that contains whole contour:
PointF center;
float radius;
CvInvoke.cvMinEnclosingCircle(largestContour.Ptr, out center, out radius);
imageFrame.Draw(new CircleF(center, radius), new Bgr(Color.Gold), 2);
//drawing center of ellipse "E":
imageFrame.Draw(new CircleF(new PointF(ellip.MCvBox2D.center.X, ellip.MCvBox2D.center.Y), 3), new Bgr(100, 25, 55), 2);
imageFrame.Draw(ellip, new Bgr(Color.DeepPink), 2);
//computing and drawing ellipse ("F") that shows the direction of hand:
CvInvoke.cvEllipse(imageFrame,
new Point((int)ellip.MCvBox2D.center.X, (int)ellip.MCvBox2D.center.Y),
new Size((int)ellip.MCvBox2D.size.Width, (int)ellip.MCvBox2D.size.Height),
ellip.MCvBox2D.angle,
0,
360,
new MCvScalar(120, 233, 88),
1,
Emgu.CV.CvEnum.LINE_TYPE.EIGHT_CONNECTED,
0);
//drawing ellipse, that's small, but also shows the direction of hand:
imageFrame.Draw(
new Ellipse(
new PointF(box.center.X, box.center.Y),
new SizeF(box.size.Height, box.size.Width),
box.angle),
new Bgr(0, 0, 0), 2);
//algorithm that fiters convex hull. It saves only those points, that have distance
//between next point bigger than 1/10th of the box size. Small ones are removed.
filteredHull = new Seq<Point>(cacheStorage);
for (int i = 0; i < hull.Total; i++)
{
if (Math.Sqrt(Math.Pow(hull[i].X - hull[i + 1].X, 2) + Math.Pow(hull[i].Y - hull[i + 1].Y, 2)) > box.size.Width / 10)
{
filteredHull.Push(hull[i]);
}
}
//finding convex hull defects:
defects = largestContour.GetConvexityDefacts(cacheStorage, Emgu.CV.CvEnum.ORIENTATION.CV_CLOCKWISE);
defectsArr = defects.ToArray();
}
}
}
/// <summary>
/// If no bounding box is found, returns the last bounding box.
/// </summary>
/// <returns></returns>
List <Rectangle> FindBestBoundingBox(short[] depthFrame, Skeleton skeleton)
{
CvInvoke.cvConvert(SaliencyProb.Ptr, TempMask.Ptr);
// Non-zero pixels are treated as 1s. Source image content is modifield.
CvInvoke.cvFindContours(TempMask.Ptr, storage, ref contourPtr, StructSize.MCvContour,
RETR_TYPE.CV_RETR_EXTERNAL, CHAIN_APPROX_METHOD.CV_CHAIN_APPROX_SIMPLE, new Point(0, 0));
var contour = new Seq <Point>(contourPtr, null);
SortedList <float, Seq <Point> > bestContours = new SortedList <float, Seq <Point> >();
List <Rectangle> bestBoundingBoxes = new List <Rectangle>();
float z = DefaultZDist;
var hand = SkeletonUtil.GetJoint(skeleton, JointType.HandRight);
if (hand != null)
{
z = hand.Position.Z;
}
double perimThresh = DepthUtil.GetDepthImageLength(width, HandWidth, z) * 2;
FaceModel = SkeletonUtil.GetFaceModel(skeleton, mapper);
for (; contour != null && contour.Ptr.ToInt32() != 0; contour = contour.HNext)
{
var perim = CvInvoke.cvContourPerimeter(contour.Ptr);
if (perim > perimThresh)
{
var rect = contour.BoundingRectangle;
var score = ContourScore(rect);
var center = rect.Center();
int x = (int)center.X;
int y = (int)center.Y;
var depth = DepthUtil.RawToDepth(depthFrame[y * width + x]);
if (!FaceModel.IsPartOfFace(x, y, depth) &&
(bestContours.Count < NumTrackedHands || score > bestContours.ElementAt(0).Key))
{
bestContours.Add(score, contour);
if (bestContours.Count > NumTrackedHands)
{
bestContours.RemoveAt(0);
}
}
}
}
if (bestContours.Count > 0)
{
foreach (var c in bestContours.Values)
{
var rect = c.BoundingRectangle;
CvInvoke.cvCamShift(TrackedDepthFrame.Ptr, rect, new MCvTermCriteria(CamShiftIter),
out connectedComp, out shiftedBox);
var bestBoundingBox = shiftedBox.MinAreaRect();
bestBoundingBoxes.Add(bestBoundingBox);
//FloodFill(TrackedDepthFrame, bestBoundingBox);
//if (bestBoundingBox.Width > 0) {
// TempMask.ROI = bestBoundingBox;
// CvInvoke.cvFindContours(TempMask.Ptr, storage, ref contourPtr, StructSize.MCvContour,
// RETR_TYPE.CV_RETR_EXTERNAL, CHAIN_APPROX_METHOD.CV_CHAIN_APPROX_SIMPLE,
// new Point(0, 0));
// contour = new Seq<Point>(contourPtr, null);
// Seq<Point> largestContour = null;
// var maxPerim = perimThresh;
// for (; contour != null && contour.Ptr.ToInt32() != 0; contour = contour.HNext) {
// var perim = CvInvoke.cvContourPerimeter(contour.Ptr);
// if (perim > maxPerim) {
// maxPerim = perim;
// largestContour = contour;
// }
// }
// CvInvoke.cvZero(TempMask.Ptr);
// if (largestContour != null)
// TempMask.Draw(largestContour, new Gray(255), -1);
// FilterImage(TrackedDepthFrame, TempMask);
// TempMask.ROI = Rectangle.Empty;
//}
}
}
return(bestBoundingBoxes);
}
public static Rectangle SquareFitting(PointF[] points)
{
MCvBox2D box = PointCollection.MinAreaRect(points);
return(box.MinAreaRect());
}
private SkeletonPoint FindHand(short[] depthData, Rectangle rect)
{
CvInvoke.cvZero(HandImage.Ptr);
var handImageData = HandImage.Data;
var handMaskData = HandMask.Data;
var playerMaskData = playerMask.Data;
var maxDepth = 0;
var minDepth = Int32.MaxValue;
for (int y = rect.Top; y < rect.Top + rect.Height && y < height; y++)
{
for (int x = rect.Left; x < rect.Left + rect.Width && x < width; x++)
{
if (y > 0 && x > 0 && handMaskData[y, x, 0] > 0 &&
playerMaskData[y, x, 0] > 0)
{
var depth = DepthUtil.RawToDepth(depthData[y * width + x]);
maxDepth = Math.Max(maxDepth, depth);
if (depth < minDepth)
{
minDepth = depth;
}
}
}
}
var scale = (float)255 / (maxDepth - minDepth);
for (int y = rect.Top; y < rect.Top + rect.Height && y < height; y++)
{
for (int x = rect.Left; x < rect.Left + rect.Width && x < width; x++)
{
if (y > 0 && x > 0 && playerMaskData[y, x, 0] > 0 &&
handMaskData[y, x, 0] > 0)
{
var depth = DepthUtil.RawToDepth(depthData[y * width + x]);
handImageData[y, x, 0] = (byte)((maxDepth - depth) * scale);
}
}
}
var connectedComp = new MCvConnectedComp();
var shiftedBox = new MCvBox2D();
CvInvoke.cvCamShift(HandImage.Ptr, rect, new MCvTermCriteria(0.0), out connectedComp,
out shiftedBox);
PrevHand = new windows.Point(HandBox.center.X, HandBox.center.Y);
HandBox = shiftedBox;
var newRect = shiftedBox.MinAreaRect();
var aveDepth = 0.0;
var count = 0;
for (int y = newRect.Top; y < newRect.Top + newRect.Height && y < height; y++)
{
for (int x = newRect.Left; x < newRect.Left + newRect.Width && x < width; x++)
{
if (x > 0 && y > 0 && playerMaskData[y, x, 0] > 0 &&
handMaskData[y, x, 0] > 0)
{
var depth = DepthUtil.RawToDepth(depthData[y * width + x]);
aveDepth += depth;
count++;
}
}
}
aveDepth /= count;
var shiftedCenterX = Math.Max(0, shiftedBox.center.X);
shiftedCenterX = Math.Min(shiftedCenterX, width);
var shiftedCenterY = Math.Max(0, shiftedBox.center.Y);
shiftedCenterY = Math.Min(shiftedCenterY, height);
return(mapper.MapDepthPointToSkeletonPoint((int)shiftedCenterX,
(int)shiftedCenterY, (int)aveDepth));
}
private void ExtractContourAndHull(Image <Gray, byte> skin)
{
using (MemStorage storage = new MemStorage())
{
Contour <Point> contours = skin.FindContours(Emgu.CV.CvEnum.CHAIN_APPROX_METHOD.CV_CHAIN_APPROX_SIMPLE, Emgu.CV.CvEnum.RETR_TYPE.CV_RETR_LIST, storage);
Contour <Point> biggestContour = null;
Double Result1 = 0;
Double Result2 = 0;
while (contours != null)
{
Result1 = contours.Area;
if (Result1 > Result2)
{
Result2 = Result1;
biggestContour = contours;
}
contours = contours.HNext;
}
if (biggestContour != null)
{
// currentFrame.Draw(biggestContour, new Bgr(Color.Black), 2);
Contour <Point> currentContour = biggestContour.ApproxPoly(biggestContour.Perimeter * 0.0025, storage);
//currentFrame.Draw(currentContour, new Bgr(Color.Red), 2);
biggestContour = currentContour;
hull = biggestContour.GetConvexHull(Emgu.CV.CvEnum.ORIENTATION.CV_CLOCKWISE);
box = biggestContour.GetMinAreaRect();
PointF[] points = box.GetVertices();
handRect = box.MinAreaRect();
//int xx = (handRect.Width) / 2;
//int yy = (handRect.Height) / 2;
currentFrame.Draw(handRect, new Bgr(200, 0, 0), 1);
// currentFrame.Draw(new CircleF(new PointF(xx, yy), 3), new Bgr(200, 125, 75), 2);
Point[] ps = new Point[points.Length];
for (int i = 0; i < points.Length; i++)
{
ps[i] = new Point((int)points[i].X, (int)points[i].Y);
}
currentFrame.DrawPolyline(hull.ToArray(), true, new Bgr(200, 125, 75), 2);
currentFrame.Draw(new CircleF(new PointF(box.center.X, box.center.Y), 3), new Bgr(200, 125, 75), 2);
// currentFrame.Draw(new CircleF(new PointF(handRect.center.X, handRect.center.Y), 3), new Bgr(200, 125, 75), 2);
//ellip.MCvBox2D= CvInvoke.cvFitEllipse2(biggestContour.Ptr);
//currentFrame.Draw(new Ellipse(ellip.MCvBox2D), new Bgr(Color.LavenderBlush), 3);
// PointF center;
// float radius;
//CvInvoke.cvMinEnclosingCircle(biggestContour.Ptr, out center, out radius);
//currentFrame.Draw(new CircleF(center, radius), new Bgr(Color.Gold), 2);
//currentFrame.Draw(new CircleF(new PointF(ellip.MCvBox2D.center.X, ellip.MCvBox2D.center.Y), 3), new Bgr(100, 25, 55), 2);
//currentFrame.Draw(ellip, new Bgr(Color.DeepPink), 2);
//CvInvoke.cvEllipse(currentFrame, new Point((int)ellip.MCvBox2D.center.X, (int)ellip.MCvBox2D.center.Y), new System.Drawing.Size((int)ellip.MCvBox2D.size.Width, (int)ellip.MCvBox2D.size.Height), ellip.MCvBox2D.angle, 0, 360, new MCvScalar(120, 233, 88), 1, Emgu.CV.CvEnum.LINE_TYPE.EIGHT_CONNECTED, 0);
//currentFrame.Draw(new Ellipse(new PointF(box.center.X, box.center.Y), new SizeF(box.size.Height, box.size.Width), box.angle), new Bgr(0, 0, 0), 2);
filteredHull = new Seq <Point>(storage);
for (int i = 0; i < hull.Total; i++)
{
if (Math.Sqrt(Math.Pow(hull[i].X - hull[i + 1].X, 2) + Math.Pow(hull[i].Y - hull[i + 1].Y, 2)) > box.size.Width / 10)
{
filteredHull.Push(hull[i]);
}
}
defects = biggestContour.GetConvexityDefacts(storage, Emgu.CV.CvEnum.ORIENTATION.CV_CLOCKWISE);
defectArray = defects.ToArray();
}
MCvMoments moment = new MCvMoments(); // a new MCvMoments object
try
{
moment = biggestContour.GetMoments(); // Moments of biggestContour
}
catch (NullReferenceException)
{
}
int fingerNum = 0;
CvInvoke.cvMoments(biggestContour, ref moment, 0);
double m_00 = CvInvoke.cvGetSpatialMoment(ref moment, 0, 0);
double m_10 = CvInvoke.cvGetSpatialMoment(ref moment, 1, 0);
double m_01 = CvInvoke.cvGetSpatialMoment(ref moment, 0, 1);
int current_X = Convert.ToInt32(m_10 / m_00) / 10; // X location of centre of contour
int current_Y = Convert.ToInt32(m_01 / m_00) / 10; // Y location of center of contour
if (fingerNum == 1 || fingerNum == 0 || blue == 6)
{
Cursor.Position = new Point(current_X * 10, current_Y * 10);
}
//Leave the cursor where it was and Do mouse click, if finger count >= 3
}
}
//-----------------------------------------------------------------------------------------
private void Draw_Gesture_Features()
{
#region drawing PalmBoundingCircle
try
{
// find bounding rec for PalmPointsCollection
PalmBoundingCircle = PointCollection.MinEnclosingCircle(PalmPointsCollection);
}
catch
{
return;
}
// we treat center of the circle as the center of the palm
imgMain.Draw(PalmBoundingCircle, new Bgr(Color.Violet), 2);
imgMain.Draw(new CircleF(new PointF(PalmBoundingCircle.Center.X, PalmBoundingCircle.Center.Y), 2), new Bgr(Color.Violet), 5);
#endregion
#region drawing FingerBoundingBox
// find bounding rec for FingerPointsCollection
MCvBox2D box = PointCollection.MinAreaRect(FingerPointsCollection);
FingerBoundingBox = box.MinAreaRect();
// we treat center of the circle as the center of the palm
imgMain.Draw(FingerBoundingBox, new Bgr(Color.Cyan), 2);
imgMain.Draw(new CircleF(new PointF(box.center.X, box.center.Y), 2), new Bgr(Color.Cyan), 5);
#endregion
#region drawing all finger points
for (int i = 0; i < FingerPointsCollection.Count(); i++)
{
imgMain.Draw(new CircleF(FingerPointsCollection[i], 2), new Bgr(Color.Yellow), 5);
}
#endregion
#region drawing all palm points
for (int i = 0; i < PalmPointsCollection.Count(); i++)
{
imgMain.Draw(new CircleF(PalmPointsCollection[i], 2), new Bgr(Color.Red), 5);
}
#endregion
//#region drawing lines from fingers to center
//for (int i = 0; i < FingerPointsCollection.Count(); i++)
//{
// imgMain.Draw(new LineSegment2DF(FingerPointsCollection[i], PalmBoundingCircle.Center), new Bgr(Color.Yellow), 1);
//}
//#endregion
//#region drawing lines from palm to center
//for (int i = 0; i < PalmPointsCollection.Count(); i++)
//{
// imgMain.Draw(new LineSegment2DF(PalmPointsCollection[i], PalmBoundingCircle.Center), new Bgr(Color.Red), 1);
//}
//#endregion
//#region Filtered drawing lines from fingers to center
//for (int i = 0; i < FingerPointsCollection.Count(); i++)
//{
// if (FingerPointsCollection[i].Y < PalmBoundingCircle.Center.Y)
// {
// imgMain.Draw(new LineSegment2DF(FingerPointsCollection[i], PalmBoundingCircle.Center), new Bgr(Color.Yellow), 1);
// }
//}
//#endregion
//#region Filtered drawing lines from palm to center
//for (int i = 0; i < PalmPointsCollection.Count(); i++)
//{
// if (PalmPointsCollection[i].Y < PalmBoundingCircle.Center.Y)
// {
// imgMain.Draw(new LineSegment2DF(PalmPointsCollection[i], PalmBoundingCircle.Center), new Bgr(Color.Red), 1);
// }
//}
//#endregion
}
private void ExtractContourAndHull(Image<Gray, byte> skin)
{
using (MemStorage storage = new MemStorage())
{
Contour<Point> contours = skin.FindContours(Emgu.CV.CvEnum.CHAIN_APPROX_METHOD.CV_CHAIN_APPROX_SIMPLE, Emgu.CV.CvEnum.RETR_TYPE.CV_RETR_LIST, storage);
Contour<Point> biggestContour = null;
Double Result1 = 0;
Double Result2 = 0;
while (contours != null)
{
Result1 = contours.Area;
if (Result1 > Result2)
{
Result2 = Result1;
biggestContour = contours;
}
contours = contours.HNext;
}
if (biggestContour != null)
{
// currentFrame.Draw(biggestContour, new Bgr(Color.Black), 2);
Contour<Point> currentContour = biggestContour.ApproxPoly(biggestContour.Perimeter * 0.0025, storage);
//currentFrame.Draw(currentContour, new Bgr(Color.Red), 2);
biggestContour = currentContour;
hull = biggestContour.GetConvexHull(Emgu.CV.CvEnum.ORIENTATION.CV_CLOCKWISE);
box = biggestContour.GetMinAreaRect();
PointF[] points = box.GetVertices();
handRect = box.MinAreaRect();
//int xx = (handRect.Width) / 2;
//int yy = (handRect.Height) / 2;
currentFrame.Draw(handRect, new Bgr(200, 0, 0), 1);
// currentFrame.Draw(new CircleF(new PointF(xx, yy), 3), new Bgr(200, 125, 75), 2);
Point[] ps = new Point[points.Length];
for (int i = 0; i < points.Length; i++)
ps[i] = new Point((int)points[i].X, (int)points[i].Y);
currentFrame.DrawPolyline(hull.ToArray(), true, new Bgr(200, 125, 75), 2);
currentFrame.Draw(new CircleF(new PointF(box.center.X, box.center.Y), 3), new Bgr(200, 125, 75), 2);
// currentFrame.Draw(new CircleF(new PointF(handRect.center.X, handRect.center.Y), 3), new Bgr(200, 125, 75), 2);
//ellip.MCvBox2D= CvInvoke.cvFitEllipse2(biggestContour.Ptr);
//currentFrame.Draw(new Ellipse(ellip.MCvBox2D), new Bgr(Color.LavenderBlush), 3);
// PointF center;
// float radius;
//CvInvoke.cvMinEnclosingCircle(biggestContour.Ptr, out center, out radius);
//currentFrame.Draw(new CircleF(center, radius), new Bgr(Color.Gold), 2);
//currentFrame.Draw(new CircleF(new PointF(ellip.MCvBox2D.center.X, ellip.MCvBox2D.center.Y), 3), new Bgr(100, 25, 55), 2);
//currentFrame.Draw(ellip, new Bgr(Color.DeepPink), 2);
//CvInvoke.cvEllipse(currentFrame, new Point((int)ellip.MCvBox2D.center.X, (int)ellip.MCvBox2D.center.Y), new System.Drawing.Size((int)ellip.MCvBox2D.size.Width, (int)ellip.MCvBox2D.size.Height), ellip.MCvBox2D.angle, 0, 360, new MCvScalar(120, 233, 88), 1, Emgu.CV.CvEnum.LINE_TYPE.EIGHT_CONNECTED, 0);
//currentFrame.Draw(new Ellipse(new PointF(box.center.X, box.center.Y), new SizeF(box.size.Height, box.size.Width), box.angle), new Bgr(0, 0, 0), 2);
filteredHull = new Seq<Point>(storage);
for (int i = 0; i < hull.Total; i++)
{
if (Math.Sqrt(Math.Pow(hull[i].X - hull[i + 1].X, 2) + Math.Pow(hull[i].Y - hull[i + 1].Y, 2)) > box.size.Width / 10)
{
filteredHull.Push(hull[i]);
}
}
defects = biggestContour.GetConvexityDefacts(storage, Emgu.CV.CvEnum.ORIENTATION.CV_CLOCKWISE);
defectArray = defects.ToArray();
}
MCvMoments moment = new MCvMoments(); // a new MCvMoments object
try
{
moment = biggestContour.GetMoments(); // Moments of biggestContour
}
catch (NullReferenceException)
{
}
int fingerNum = 0;
CvInvoke.cvMoments(biggestContour, ref moment, 0);
double m_00 = CvInvoke.cvGetSpatialMoment(ref moment, 0, 0);
double m_10 = CvInvoke.cvGetSpatialMoment(ref moment, 1, 0);
double m_01 = CvInvoke.cvGetSpatialMoment(ref moment, 0, 1);
int current_X = Convert.ToInt32(m_10 / m_00) / 10; // X location of centre of contour
int current_Y = Convert.ToInt32(m_01 / m_00) / 10; // Y location of center of contour
if (fingerNum == 1 || fingerNum == 0 || blue == 6)
{
Cursor.Position = new Point(current_X * 10, current_Y * 10);
}
//Leave the cursor where it was and Do mouse click, if finger count >= 3
}
}
private static bool isDashed(ContourNode inner)
{
Image<Bgr, Byte> im = inner.Image.Clone();
Rectangle oldroi = inner.Image.ROI;
#region calc ROI
double scale = 0.33;
Point center = new Point(oldroi.X + oldroi.Width / 2, oldroi.Y + oldroi.Height / 2);
Size size = new Size((int)(oldroi.Size.Width * scale), (int)(oldroi.Size.Height * scale));
MCvBox2D box = new MCvBox2D(center, size, 0);
Rectangle newroi = box.MinAreaRect();
#endregion
im.ROI = newroi;
Image<Bgr, float> laplace = im.Laplace(1);
double[] mins, maxs;
Point[] minlocs, maxlocs;
laplace.MinMax(out mins, out maxs, out minlocs, out maxlocs);
return (maxs[0] > 15);
}