/// <summary>
/// Создаёт контур из внешних точек при помощи афинной гистограммы
/// </summary>
/// <param name="centerMode">Выбор центра внешнего контура</param>
/// <param name="histogramScale">Число баров гистограммы 3*histogramScale* (длина стороны матрицы)</param>
/// <param name="radiusScale">Скалированный радиус от центра</param>
/// <returns></returns>
public CvContourInfo ToAraundContour(CenterDrawMode centerMode = CenterDrawMode.BoundingRectCenter, int histogramScale = 1, double radiusScale = 1, MovingPredictType movingType = MovingPredictType.None, int movingRange = 1)
{
CvContourInfo araundContour = new CvContourInfo();
Point center = this.BoundingCenter;
switch (centerMode)
{
case CenterDrawMode.PixelWeightCenter: center = this.WeightCenter; break;
case CenterDrawMode.HistogramCenter:
UpdateXYHistogram();
center = this.HistogramCenter;
break;
}
araundContour.m_points = AraundPoints(center, m_points, histogramScale, radiusScale, movingType, movingRange);
araundContour.Id = this.Id;
araundContour.ParentId = this.ParentId;
araundContour.MainColor = new MCvScalar(this.MainColor.V0, this.MainColor.V1, this.MainColor.V2);
araundContour.PerimeterColor = new MCvScalar(this.PerimeterColor.V0, this.PerimeterColor.V1, this.PerimeterColor.V2);
araundContour.Area = this.Area;
araundContour.Perimeter = this.Perimeter;
araundContour.BoundingRect = new Rectangle(this.BoundingRect.X, this.BoundingRect.Y, this.BoundingRect.Width, this.BoundingRect.Height);
araundContour.BoundingCenter = new Point(this.BoundingCenter.X, this.BoundingCenter.Y);
araundContour.WeightCenter = new Point(this.WeightCenter.X, this.WeightCenter.Y);
araundContour.HistogramCenter = new Point(this.HistogramCenter.X, this.HistogramCenter.Y);
return(araundContour);
}
public void Update(Mat img, ChainApproxMethod method = ChainApproxMethod.ChainApproxNone)
{
m_contours.Clear();
Mat grayImg = img;
if (img.NumberOfChannels > 1)
{
grayImg = new Mat();
CvInvoke.CvtColor(img, grayImg, ColorConversion.Bgr2Gray);
}
// hierachy[0][i] 0я иерархии для i-ого контура
// hierachy[0][i][0] - индекс следующего контура на том же уровне
// hierachy[0][i][1] - индекс предыдущий контура на том же уровне
// hierachy[0][i][2] - Индекс потомка
// hierachy[0][i][3] - Индекс родителя
using (Mat hierachy = new Mat())
using (VectorOfVectorOfPoint contours = new VectorOfVectorOfPoint())
{
CvInvoke.FindContours(grayImg, contours, hierachy, RetrType.Tree, method);
if (contours.Size == 0)
{
return;
}
int sz = contours.Size * 4;
int[] hierachyArray = new int[sz];
Marshal.Copy(hierachy.DataPointer, hierachyArray, 0, sz);
for (int i = 0; i < contours.Size; i++)
{
if (contours[i].Size > 2)
{
int parentID = hierachyArray[i * 4 + 3];
CvContourInfo info = new CvContourInfo(i, parentID, contours[i]); // пока не понял логику
m_contours.Add(info);
}
}
}
}
public CvContourInfo Clone()
{
CvContourInfo info = new CvContourInfo();
info.m_points = new Point[this.m_points.Length];
for (int i = 0; i < this.m_points.Length; i++)
{
info.m_points[i] = new Point(this.m_points[i].X, this.m_points[i].Y);
}
info.Id = this.Id;
info.ParentId = this.ParentId;
info.MainColor = new MCvScalar(this.MainColor.V0, this.MainColor.V1, this.MainColor.V2);
info.PerimeterColor = new MCvScalar(this.PerimeterColor.V0, this.PerimeterColor.V1, this.PerimeterColor.V2);
info.Area = this.Area;
info.Perimeter = this.Perimeter;
info.BoundingRect = new Rectangle(this.BoundingRect.X, this.BoundingRect.Y, this.BoundingRect.Width, this.BoundingRect.Height);
info.BoundingCenter = new Point(this.BoundingCenter.X, this.BoundingCenter.Y);
info.WeightCenter = new Point(this.WeightCenter.X, this.WeightCenter.Y);
info.HistogramCenter = new Point(this.HistogramCenter.X, this.HistogramCenter.Y);
return(info);
}
// По идее ещё нужен алгоритм кластеризации
//public CvContours[] GetClasters()
/// <summary>
/// Сливает все конутра коллекции во внешний контур с единым центром
/// </summary>
/// <param name="centerMode"></param>
/// <param name="histogramScale"></param>
/// <param name="radiusScale"></param>
/// <returns></returns>
public CvContours GetConcatenateAroundContour(CenterDrawMode centerMode = CenterDrawMode.BoundingRectCenter, int histogramScale = 1, double radiusScale = 1)
{
CvContours resultContour = new CvContours();
if (m_contours.Count == 0)
{
return(resultContour);
}
int totalPoints = 0;
foreach (var contour in m_contours)
{
totalPoints += contour.PointsCnt;
}
if (totalPoints == 0)
{
return(resultContour);
}
double xx = 0;
double yy = 0;
int shift = 0;
Point[] points = new Point[totalPoints];
foreach (var contour in m_contours)
{
contour.CopyPointsTo(points, shift);
shift += contour.PointsCnt;
switch (centerMode)
{
case CenterDrawMode.BoundingRectCenter:
xx += contour.BoundingCenter.X;
yy += contour.BoundingCenter.Y;
break;
case CenterDrawMode.PixelWeightCenter:
xx += contour.WeightCenter.X;
yy += contour.WeightCenter.Y;
break;
case CenterDrawMode.HistogramCenter:
contour.UpdateXYHistogram();
xx += contour.HistogramCenter.X;
yy += contour.HistogramCenter.Y;
break;
}
}
Point commonCenterPoint = new Point((int)(xx / m_contours.Count), (int)(yy / m_contours.Count));
var aroundPoints = CvContourInfo.AraundPoints(commonCenterPoint, points, histogramScale, radiusScale);
CvContourInfo contourInfo = new CvContourInfo(0, -1, aroundPoints);
resultContour.m_contours.Add(contourInfo);
return(resultContour);
}