public static void LearnPattern(ImageViewer SourceImage, float fUpper = 0, float fLower = 0)
{
using (VisionImage plane = new VisionImage(ImageType.U8, 7))
{
// Extract the green color plane and copy it to the main image.
if (SourceImage.Image.Type == ImageType.Rgb32)
{
Algorithms.ExtractColorPlanes(SourceImage.Image, NationalInstruments.Vision.ColorMode.Rgb, null, plane, null);
Algorithms.Copy(plane, SourceImage.Image);
}
}
// Algorithms.LearnPattern2(SourceImage.Image);
OvalContour vaRect2 = new OvalContour(0, 0, 0, 0);
Roi roi = new Roi();
roi.Add(vaRect2);
// Histogram Grayscale
using (VisionImage imageMask = new VisionImage(ImageType.U8, 7))
{
RotationAngleRange ra = new RotationAngleRange(fLower, fUpper);
PixelValue fillValue = new PixelValue(255);
Algorithms.RoiToMask(imageMask, roi, fillValue, SourceImage.Image);
Algorithms.LearnPattern2(SourceImage.Image, imageMask, MatchingAlgorithm.MatchGrayValuePyramid, ra);
}
roi.Dispose();
}
private void timer1_Tick(object sender, EventArgs e)
{
// Get the next image.
VisionImage image = GetNextImage();
// Look for rotational shift in the image.
PointContour imageCenter = new PointContour(image.Width / 2.0, image.Height / 2.0);
double angle = Algorithms.DetectRotation(images[0], image, imageCenter, imageCenter, (int)(.475 * image.Width));
// Transform the regions of interest.
CoordinateTransform transform = new CoordinateTransform(new CoordinateSystem(imageCenter), new CoordinateSystem(imageCenter, angle));
// Copy to a new Roi so we don't lose the information.
Roi transformedRoi = new Roi(testLines);
Algorithms.TransformRoi(transformedRoi, transform);
// Find the actual number of edges along each line in the image.
bool allTargetsPassed = true;
for (int i = 0; i < transformedRoi.Count; ++i)
{
Collection <PointContour> linePoints = Algorithms.GetPointsOnLine((LineContour)transformedRoi[i].Shape);
Collection <PointContour> edges = Algorithms.SimpleEdge(image, linePoints, simpleEdgeOptions);
// Display the results.
GetActualTextBox(i).Text = edges.Count.ToString();
foreach (PointContour pt in edges)
{
image.Overlays.Default.AddOval(new OvalContour(pt.X - 2, pt.Y - 2, 5, 5), Rgb32Value.YellowColor, DrawingMode.PaintValue);
}
if (Int32.Parse(GetExpectedTextBox(i).Text) == edges.Count)
{
// Part passes.
GetPassFailLed(i).Value = true;
image.Overlays.Default.AddLine((LineContour)transformedRoi[i].Shape, Rgb32Value.GreenColor);
}
else
{
// Part fails.
GetPassFailLed(i).Value = false;
image.Overlays.Default.AddLine((LineContour)transformedRoi[i].Shape, Rgb32Value.RedColor);
}
allTargetsPassed = allTargetsPassed && GetPassFailLed(i).Value;
}
globalPassFailLed.Value = allTargetsPassed;
// Overlay the outside circle of the part.
OvalContour outsideOval = new OvalContour(image.Width * .025, image.Height * .025, image.Width * .95, image.Height * .95);
image.Overlays.Default.AddOval(outsideOval, allTargetsPassed ? Rgb32Value.GreenColor : Rgb32Value.RedColor);
imageViewer1.Attach(image);
}
public static double FindCircleHistogramMean(VisionImage image, OvalContour vaRect2)
{
Roi roi = new Roi();
// Creates a new RectangleContour using the given values.
roi.Add(vaRect2);
// Histogram Grayscale
double HistogramMean = -100;
using (VisionImage imageMask = new VisionImage(ImageType.U8, 7))
{
PixelValue fillValue = new PixelValue(255);
Range intervalRange = new Range(0, 0);
Algorithms.RoiToMask(imageMask, roi, fillValue, image);
// Calculates and returns statistical parameters on the image.
HistogramMean = Algorithms.Histogram(image, 256, intervalRange, imageMask).Mean;
}
roi.Dispose();
return(HistogramMean);
}
