public void imageAvailableMain(string filename)
{
//Bitmap temp = new Bitmap(filename);
//mainView.postImageMain(temp);
ImageAnalysis tempAnalysis = mainAnalyser.analyse(filename); //Move to thread task?
mainView.postImageMain(tempAnalysis.Result);
currentGrain = new GrainAnalysis();
currentGrain.setMain(tempAnalysis);
string output = "";
switch (currentState)
{
case State.SampleARecord:
//runSampleA.add(tempAnalysis);
break;
case State.SampleBRecord:
//runSampleB.add(tempAnalysis);
break;
case State.DataRecord:
//currentRun.add(tempAnalysis);
break;
case State.Idle:
break;
}
output += "Main| C=(" + (int)tempAnalysis.Center.X + "px," + (int)tempAnalysis.Center.Y + "px), ";
output += "A=" + (int)tempAnalysis.Area + ", W=" + (int)tempAnalysis.Width + ", L=" + (int)tempAnalysis.Length + ", R=1:" + tempAnalysis.Ratio;
mainView.displayData(output);
}
public void imageAvailableSide(string filename)
{
//Bitmap temp = new Bitmap(filename);
//mainView.postImageSide(temp);
ImageAnalysis tempAnalysis2 = sideAnalyser.analyse(filename);
mainView.postImageSide(tempAnalysis2.Result);
string output = "Side| C=(" + (int)tempAnalysis2.Center.X + "px," + (int)tempAnalysis2.Center.Y + "px), ";
output += "A=" + (int)tempAnalysis2.Area + ", W=" + (int)tempAnalysis2.Width + ", L=" + (int)tempAnalysis2.Length + ", R=1:" + tempAnalysis2.Ratio;
mainView.displayData(output);
if (currentGrain != null)
{
currentGrain.setSide(tempAnalysis2);
currentGrain.analyse();
switch (currentState)
{
case State.SampleARecord:
//runSampleA.add(tempAnalysis);
runSampleA.add(currentGrain);
break;
case State.SampleBRecord:
//runSampleB.add(tempAnalysis);
runSampleB.add(currentGrain);
break;
case State.DataRecord:
//currentRun.add(tempAnalysis);
currentRun.add(currentGrain);
int length = currentRun.totalLength();
mainView.displayLength(length);
break;
case State.Idle:
break;
}
output = "Grain| L=" + currentGrain.Length + ", W=" + currentGrain.Width + ", D=" + currentGrain.Depth + ", V=" + currentGrain.Volume;
mainView.displayData(output);
if (sort)
{
if (rejectAboveThreshold)
{
if (currentGrain.Volume > threshold)
{
//reject
mainView.displayData("Reject!");
System.Media.SystemSounds.Asterisk.Play();
}
}
else
{
if (currentGrain.Volume < threshold)
{
//reject
mainView.displayData("Reject!");
System.Media.SystemSounds.Asterisk.Play();
}
}
}
currentGrain = null;
}
}
public ImageAnalysis analyse(string fileName, int lLow, int lHigh, int aLow, int aHigh, int bLow, int bHigh)
{
ImageAnalysis analysis = new ImageAnalysis();
Mat tempMat = new Mat(fileName);
// pixel mask, erode x2, dilate x2
//CvInvoke.GaussianBlur(mat, mat, new Size(5, 5), 1.5, 1.5);
//CvInvoke.GaussianBlur(mat, mat, new Size(5, 5), 1.5, 1.5);
//GetColorPixelMask(tempMat, tempMat, maskHueUpper, maskHueLower, maskSatUpper, maskSatLower, maskLumUpper, maskLumLower);
GetLabColorPixelMask(tempMat, tempMat, lLow, lHigh, aLow, aHigh, bLow, bHigh);
//tempMat.Save(fileName + "temp.jpg");
CvInvoke.Erode(tempMat, tempMat, null, new Point(-1, -1), 2, BorderType.Constant, CvInvoke.MorphologyDefaultBorderValue);
Mat temp = new Mat();
CvInvoke.Dilate(tempMat, temp, null, new Point(-1, -1), 2, BorderType.Constant, CvInvoke.MorphologyDefaultBorderValue);
tempMat = temp;
//find largest contour
Mat result = new Mat(540, 720, 0, 1);
int largest_contour_index = 0;
double largest_area = 0;
VectorOfPoint largestContour;
VectorOfVectorOfPoint contours = new VectorOfVectorOfPoint();
Mat hierachy = new Mat();
CvInvoke.FindContours(tempMat, contours, hierachy, RetrType.Tree, ChainApproxMethod.ChainApproxNone);
if (contours.Size > 0)
{
for (int i = 0; i < contours.Size; i++)
{
MCvScalar color = new MCvScalar(0, 0, 255);
double a = CvInvoke.ContourArea(contours[i], false); // Find the area of contour
if (a > largest_area)
{
largest_area = a;
largest_contour_index = i; //Store the index of largest contour
}
//CvInvoke.DrawContours(result, contours, largest_contour_index, new MCvScalar(255, 0, 0));
}
//draw largest contour
CvInvoke.DrawContours(result, contours, largest_contour_index, new MCvScalar(255, 255, 255), 1, LineType.EightConnected, hierachy);
largestContour = new VectorOfPoint(contours[largest_contour_index].ToArray());
Image <Bgr, Byte> tempImg = result.ToImage <Bgr, Byte>();
//Find center point
MCvMoments m = CvInvoke.Moments(largestContour, true);
MCvPoint2D64f center = m.GravityCenter;
//textBox1.AppendText("Center point: " + Math.Round(center.X, 3) + "px, " + Math.Round(center.Y, 3) + "px\n");
tempImg.Draw(new Cross2DF(new PointF((float)center.X, (float)center.Y), 3, 3), new Bgr(0, 0, 255), 2);
//Find Area
double area = CvInvoke.ContourArea(largestContour);
//textBox1.AppendText("Area: " + area + "px, " + convertSqPxToSqMm(area) + "sq mm\n");
//Find Bounding Rectangle
RotatedRect rect = CvInvoke.MinAreaRect(largestContour);
float width0 = rect.Size.Width;
float height0 = rect.Size.Height;
float length = (height0 >= width0 ? height0 : width0);
float width = (height0 < width0 ? height0 : width0);
tempImg.Draw(rect, new Bgr(255, 0, 0), 2);
//textBox1.AppendText("Width: " + width + "px Length: " + length + "px\n");
//textBox1.AppendText("Width: " + convertPxToMm(width) + "mm Length: " + convertPxToMm(length) + "mm\n");
double ratio = Math.Round((length / width), 3);
//textBox1.AppendText("Ratio (width:length): 1:" + ratio + "\n");
//save and display
tempImg.Save(fileName + "_after.bmp");
tempMat = tempImg.Mat;
analysis.Contours = contours;
analysis.LargestContourIndex = largest_contour_index;
analysis.LargestContour = largestContour;
analysis.Center = center;
analysis.Area = area;
analysis.BoundingBox = rect;
analysis.Length = length;
analysis.Width = width;
analysis.Ratio = ratio;
analysis.Result = tempImg.ToBitmap();
}
return(analysis);
}
