/// <summary>
/// Method for analysis image, calc width and height of flame tongue, their area and
/// </summary>
/// <param name="Image">input Mat image</param>
/// <param name="Step">step of measure</param>
/// <param name="Scale">Scale of projection (mm in px)</param>
/// <returns>ImageProcessingResult instance, includes width, height, area and image with contour</returns>
public static ImageProcessingResult FrameAnalysis(Mat Image, int Step, double Scale)
{
var source = Image.Clone();
var blur = new Mat(Image.Rows, Image.Cols, DepthType.Cv64F, 3);
var gray = blur.Clone();
var thresh = blur.Clone();
var contours = new VectorOfVectorOfPoint();
CvInvoke.MedianBlur(source, blur, 1);
CvInvoke.CvtColor(blur, gray, ColorConversion.Bgr2Gray);
CvInvoke.Threshold(gray, thresh, 150, 255, ThresholdType.BinaryInv);
CvInvoke.FindContours(thresh, contours, null, RetrType.List, ChainApproxMethod.ChainApproxSimple);
ImageProcessingResult result = CalcResult(contours, source);
SaveImages(Step, blur, gray, thresh, result.Image);
result.Area *= Scale * Scale;
result.Width *= Scale;
result.Height *= Scale;
return(result);
}
/// <summary>
/// Calc width, height, area and draw contour and border dots
/// </summary>
/// <param name="contours">Founded contrours from source image</param>
/// <param name="source">Source image for drawing contour and dots</param>
/// <returns></returns>
private static ImageProcessingResult CalcResult(VectorOfVectorOfPoint contours, Mat source)
{
var result = new ImageProcessingResult();
var maxContArea = 0.0;
int maxContAreaID = 0;
for (int i = 0; i < contours.Size; i++)
{
double contArea = CvInvoke.ContourArea(contours[i]);
if (contArea >= maxContArea)
{
maxContArea = contArea;
maxContAreaID = i;
}
}
var biggestCont = contours[maxContAreaID];
result.Contour = biggestCont;
result.Area = maxContArea;
List <double> xCoords = new List <double>();
List <double> yCoords = new List <double>();
for (int i = 0; i < biggestCont.Size; i++)
{
xCoords.Add(biggestCont[i].X);
yCoords.Add(biggestCont[i].Y);
}
double minX = xCoords[0], maxX = xCoords[0];
double minY = yCoords[0], maxY = yCoords[0];
Point pLeft = new Point();
Point pRight = new Point();
Point pUp = new Point();
Point pDown = new Point();
for (int i = 0; i < xCoords.Count; i++)
{
if (xCoords[i] >= maxX)
{
maxX = xCoords[i];
pLeft.X = (int)maxX;
pLeft.Y = (int)yCoords[i];
}
if (xCoords[i] <= minX)
{
minX = xCoords[i];
pRight.X = (int)minX;
pRight.Y = (int)yCoords[i];
}
if (yCoords[i] >= maxY)
{
maxY = yCoords[i];
pUp.Y = (int)maxY;
pUp.X = (int)xCoords[i];
}
if (yCoords[i] <= minY)
{
minY = yCoords[i];
pDown.Y = (int)minY;
pDown.X = (int)xCoords[i];
}
}
result.Width = pLeft.X - pRight.X;
result.Height = pUp.Y - pDown.Y;
CvInvoke.DrawContours(source, contours, maxContAreaID, new MCvScalar(255, 0, 0), 3, LineType.AntiAlias);
var borderColor = new MCvScalar(255, 0, 255);
CvInvoke.Circle(source, pLeft, 3, borderColor, 3, LineType.AntiAlias);
CvInvoke.Circle(source, pRight, 3, borderColor, 3, LineType.AntiAlias);
CvInvoke.Circle(source, pUp, 3, borderColor, 3, LineType.AntiAlias);
CvInvoke.Circle(source, pDown, 3, borderColor, 3, LineType.AntiAlias);
result.Image = source.Clone();
return(result);
}
