private void btnMatch3_Click(object sender, EventArgs e)
{
try
{
imageViewer3.Image.Overlays.Default.Clear();
MatchPatternOptions options = new MatchPatternOptions(MatchMode.RotationInvariant, 1);
options.MinimumMatchScore = 800;
options.MinimumContrast = 0;
options.SubpixelAccuracy = false;
Collection <PatternMatch> matches = Algorithms.MatchPattern(imageViewer3.Image, imageViewer4.Image, options, imageViewer3.Roi);
RectangleContour rectROI1 = (RectangleContour)imageViewer3.Roi.GetContour(0).Shape;
userProgram.TemplateConfig.Rectangle.Left = rectROI1.Left;
userProgram.TemplateConfig.Rectangle.Top = rectROI1.Top;
userProgram.TemplateConfig.Rectangle.Width = rectROI1.Width;
userProgram.TemplateConfig.Rectangle.Height = rectROI1.Height;
// Display results.
foreach (PatternMatch match in matches)
{
imageViewer3.Image.Overlays.Default.AddPolygon(new PolygonContour(match.Corners), Rgb32Value.RedColor);
userProgram.TemplateConfig.Position.X = match.Position.X;
userProgram.TemplateConfig.Position.Y = match.Position.Y;
}
}
catch (Exception ex)
{
MessageBox.Show(ex.Message);
}
}
private bool MatchTemplate(ref ImageViewer imageWiewer, ref ImageViewer imageTemplate)
{
imageWiewer.Image.Overlays.Default.Clear();
MatchPatternOptions options = new MatchPatternOptions(MatchMode.RotationInvariant, 1);
options.MinimumMatchScore = 800;
options.MinimumContrast = 0;
options.SubpixelAccuracy = false;
Collection <PatternMatch> matches = Algorithms.MatchPattern(imageWiewer.Image,
imageTemplate.Image, options, imageViewerDatamatrix.Roi);
if (matches.Count < 1)
{
return(false);
}
// Display results.
foreach (PatternMatch match in matches)
{
imageWiewer.Image.Overlays.Default.AddPolygon(new PolygonContour(match.Corners), Rgb32Value.RedColor);
userProgram.TemplateConfig.Position.X = match.Position.X;
userProgram.TemplateConfig.Position.Y = match.Position.Y;
}
RectangleContour rectROI1 = (RectangleContour)imageWiewer.Roi.GetContour(0).Shape;
userProgram.TemplateConfig.Rectangle.Left = rectROI1.Left;
userProgram.TemplateConfig.Rectangle.Top = rectROI1.Top;
userProgram.TemplateConfig.Rectangle.Width = rectROI1.Width;
userProgram.TemplateConfig.Rectangle.Height = rectROI1.Height;
return(false);
}
private void timer1_Tick(object sender, EventArgs e)
{
// Get the current coordinate system.
CoordinateSystem coordinateSystem = stageMotionInformation[imageNumber];
// Display the current coordinate system.
calibrationOriginPixelX.Text = String.Format("{0:0.0}", coordinateSystem.Origin.X);
calibrationOriginPixelY.Text = String.Format("{0:0.0}", coordinateSystem.Origin.Y);
calibrationAngle.Text = String.Format("{0:0.0}", coordinateSystem.Angle);
calibrationAxisReference.Text = (coordinateSystem.AxisOrientation == AxisOrientation.Direct) ? "Direct" : "Indirect";
// Get the next image in the sequence.
VisionImage image = GetNextImage();
// Set the local coordinate system information using simple calibration.
Algorithms.SetSimpleCalibration(image, coordinateSystem, new GridDescriptor());
// Find the location of the fiducial in the image.
MatchPatternOptions matchOptions = new MatchPatternOptions(MatchMode.RotationInvariant);
matchOptions.MinimumMatchScore = 600;
Collection <PatternMatch> matches = Algorithms.MatchPattern(image, template, matchOptions);
// Convert the match position to real-world coordinates.
PointContour realWorldPoint = Algorithms.ConvertPixelToRealWorldCoordinates(image, matches[0].Position).Points[0];
// Display the coordinates of the pattern.
measurementsPixelX.Text = String.Format("{0:0.0}", matches[0].Position.X);
measurementsPixelY.Text = String.Format("{0:0.0}", matches[0].Position.Y);
measurementsCalibratedX.Text = String.Format("{0:0.0}", realWorldPoint.X);
measurementsCalibratedY.Text = String.Format("{0:0.0}", realWorldPoint.Y);
// Overlay the position of the pattern match.
// First draw the bounding box.
image.Overlays.Default.AddPolygon(new PolygonContour(matches[0].Corners), Rgb32Value.RedColor);
// Now draw the center point.
image.Overlays.Default.AddOval(new OvalContour(matches[0].Position.X - 5, matches[0].Position.Y - 5, 11, 11), Rgb32Value.RedColor);
// Finally draw the crosshair.
image.Overlays.Default.AddLine(new LineContour(new PointContour(matches[0].Position.X - 10, matches[0].Position.Y), new PointContour(matches[0].Position.X + 10, matches[0].Position.Y)), Rgb32Value.RedColor);
image.Overlays.Default.AddLine(new LineContour(new PointContour(matches[0].Position.X, matches[0].Position.Y - 10), new PointContour(matches[0].Position.X, matches[0].Position.Y + 10)), Rgb32Value.RedColor);
// Overlay the coordinate system on the image.
OverlayCoordinateSystem(image.Overlays.Default, coordinateSystem);
// Display the image.
imageViewer1.Attach(image);
}
private void defineCoordinateSystemButton_Click(object sender, EventArgs e)
{
// Read a template file representing a characteristic portion of the object
// used as a reference coordinate system.
imageViewer2.Image.ReadVisionFile(System.IO.Path.Combine(imagePath, "template.png"));
MatchPatternOptions matchOptions = new MatchPatternOptions(MatchMode.RotationInvariant);
matchOptions.MinimumMatchScore = 700;
matchOptions.SubpixelAccuracy = true;
DrawOptions drawOptions = new DrawOptions();
drawOptions.ShowResult = true;
FindTransformWithPattern(imageViewer1.Image, imageViewer2.Image, FindTransformMode.FindReference, matchOptions, drawOptions, transform);
// Update buttons.
defineCoordinateSystemButton.Enabled = false;
defineMeasurementsButton.Enabled = true;
}
private void runButton_Click(object sender, EventArgs e)
{
// Initialize the pattern matching options.
matchPatternRoi = new Roi(new Shape[] { new RotatedRectangleContour(new PointContour(210, 220), 130, 110, 0) });
matchPatternOptions = new MatchPatternOptions(MatchMode.RotationInvariant, 1);
matchPatternOptions.MinimumMatchScore = 650;
matchPatternOptions.RotationAngleRanges.Add(new Range(-40, 40));
matchPatternOptions.SubpixelAccuracy = true;
// Initialize text options.
overlayTextOptions = new OverlayTextOptions("Arial Black", 36);
// Update buttons.
runButton.Enabled = false;
// Enable the timer.
timer1.Enabled = true;
timer1_Tick(timer1, EventArgs.Empty);
}
private void matchPatternButton_Click(object sender, EventArgs e)
{
MatchPatternOptions options = new MatchPatternOptions((MatchMode)(matchMode.SelectedIndex + 1), (int)matchesRequested.Value);
options.MinimumMatchScore = (int)minimumScore.Value;
options.MinimumContrast = (int)minimumContrast.Value;
options.SubpixelAccuracy = subpixelAccuracy.Checked;
// Match
Collection <PatternMatch> matches = Algorithms.MatchPattern(imageViewerMain.Image, imageViewerPattern.Image, options, imageViewerMain.Roi);
// Display results.
imageViewerMain.Image.Overlays.Default.Clear();
foreach (PatternMatch match in matches)
{
imageViewerMain.Image.Overlays.Default.AddPolygon(new PolygonContour(match.Corners), Rgb32Value.RedColor);
}
matchesFound.Text = matches.Count.ToString();
learnPatternButton.Enabled = false;
}
private void timer1_Tick(object sender, EventArgs e)
{
// Get the next image.
VisionImage image = GetNextImage();
// Find the new coordinate transformation.
MatchPatternOptions matchOptions = new MatchPatternOptions(MatchMode.RotationInvariant);
matchOptions.MinimumMatchScore = 700;
matchOptions.SubpixelAccuracy = true;
DrawOptions drawOptions = new DrawOptions();
drawOptions.ShowResult = true;
FindTransformWithPattern(image, imageViewer2.Image, FindTransformMode.UpdateTransform, matchOptions, drawOptions, transform);
// Initialize search rectangle and search annulus.
RectangleContour searchRectangle = new RectangleContour(470, 110, 30, 190);
AnnulusContour searchAnnulus = new AnnulusContour(new PointContour(366, 201), 33, 121, 42.71, 314.13);
// Overlay the search area for the distance measurement.
drawOptions.ShowEdgesFound = true;
drawOptions.ShowSearchArea = true;
drawOptions.ShowSearchLines = true;
drawOptions.ShowResult = true;
double distance = MeasureMaximumDistance(image, searchRectangle, RakeDirection.TopToBottom, drawOptions, transform);
// Overlay the search area for the circle measurement.
FitCircleReport circleReport = FindCircularEdge(image, searchAnnulus, SpokeDirection.InsideToOutside, drawOptions, transform);
// Display results.
distanceBox.Text = String.Format("{0:0.00}", distance);
centerXBox.Text = String.Format("{0:0.00}", circleReport.Center.X);
centerYBox.Text = String.Format("{0:0.00}", circleReport.Center.Y);
radiusBox.Text = String.Format("{0:0.00}", circleReport.Radius);
// Display the image.
imageViewer1.Attach(image);
}
private void FindTransformWithPattern(VisionImage image, VisionImage template, FindTransformMode mode, MatchPatternOptions matchOptions, DrawOptions drawOptions, CoordinateTransform transform)
{
// Find the pattern in the image.
Collection <PatternMatch> matches = Algorithms.MatchPattern(image, template, matchOptions);
// If the pattern was found:
if (matches.Count > 0)
{
// The points in the Corners collection are returned like this:
//
// 0 — 1
// | |
// 3 — 2
//
// Our main axis will be along the line from point 3 to point 2 and
// our secondary axis will be from point 3 to point 0. The origin will
// be at point 3.
LineContour mainAxis = new LineContour(matches[0].Corners[3], matches[0].Corners[2]);
LineContour secondaryAxis = new LineContour(matches[0].Corners[3], matches[0].Corners[0]);
// Fill in the coordinate transform with the data obtained by the pattern matching.
transform.MeasurementSystem.Origin = matches[0].Corners[3];
transform.MeasurementSystem.Angle = matches[0].Rotation;
transform.MeasurementSystem.AxisOrientation = AxisOrientation.Direct;
// If this is the first run, fill in the reference system too.
if (mode == FindTransformMode.FindReference)
{
transform.ReferenceSystem.Origin = matches[0].Corners[3];
transform.ReferenceSystem.Angle = matches[0].Rotation;
transform.ReferenceSystem.AxisOrientation = AxisOrientation.Direct;
}
// Draw the results on the image.
if (drawOptions.ShowResult)
{
// Draw the origin.
image.Overlays.Default.AddRectangle(new RectangleContour(mainAxis.Start.X - 2, mainAxis.Start.Y - 2, 5, 5), Rgb32Value.RedColor, DrawingMode.DrawValue);
// Draw each axis.
image.Overlays.Default.AddLine(mainAxis, Rgb32Value.RedColor);
DrawArrow(image.Overlays.Default, mainAxis, Rgb32Value.RedColor);
image.Overlays.Default.AddLine(secondaryAxis, Rgb32Value.RedColor);
DrawArrow(image.Overlays.Default, secondaryAxis, Rgb32Value.RedColor);
}
}
}
private Collection <PatternMatch> IVA_MatchPattern(VisionImage image,
IVA_Data ivaData,
string templatePath,
MatchMode matchMode,
bool subpixel,
int[] angleRangeMin,
int[] angleRangeMax,
int matchesRequested,
double score,
Roi roi,
double matchOffset_x,
double matchOffset_y,
int stepIndex)
{
using (VisionImage imageTemplate = new VisionImage(ImageType.U8, 7))
{
int numObjectResults = 4;
Collection <PatternMatch> patternMatchingResults = new Collection <PatternMatch>();
CoordinatesReport realWorldPosition = new CoordinatesReport();
PointContour matchLocation = new PointContour();
// Read the image template.
imageTemplate.ReadVisionFile(templatePath);
//Algorithms.LearnPattern(imageTemplate);
// If the image is calibrated, we also need to log the calibrated position (x and y) -> 6 results instead of 4
if ((image.InfoTypes & InfoTypes.Calibration) != 0)
{
numObjectResults = 6;
}
// Fill in the Pattern Matching options.
MatchPatternOptions matchPatternOptions = new MatchPatternOptions(matchMode, matchesRequested);
matchPatternOptions.MinimumContrast = 0;
matchPatternOptions.SubpixelAccuracy = subpixel;
for (int i = 0; i < 2; ++i)
{
matchPatternOptions.RotationAngleRanges.Add(new Range(angleRangeMin[i], angleRangeMax[i]));
}
matchPatternOptions.MinimumMatchScore = score;
// Searches for areas in the image that match a given pattern.
patternMatchingResults = Algorithms.MatchPattern2(image, imageTemplate, matchPatternOptions, roi);
// ////////////////////////////////////////
// Store the results in the data structure.
// ////////////////////////////////////////
// First, delete all the results of this step (from a previous iteration)
Functions.IVA_DisposeStepResults(ivaData, stepIndex);
if (patternMatchingResults.Count > 0)
{
ivaData.stepResults[stepIndex].results.Add(new IVA_Result("# of objects", patternMatchingResults.Count));
for (int i = 0; i < patternMatchingResults.Count; ++i)
{
// Adjust the match location using the specified offsets.
matchLocation.X = patternMatchingResults[i].Position.X + Functions.IVA_ComputePMOffset(matchOffset_x, matchOffset_y, patternMatchingResults[i].Rotation).X;
matchLocation.Y = patternMatchingResults[i].Position.Y + Functions.IVA_ComputePMOffset(matchOffset_x, matchOffset_y, patternMatchingResults[i].Rotation).Y;
ivaData.stepResults[stepIndex].results.Add(new IVA_Result(String.Format("Match {0}.X Position (Pix.)", i + 1), matchLocation.X));
ivaData.stepResults[stepIndex].results.Add(new IVA_Result(String.Format("Match {0}.Y Position (Pix.)", i + 1), matchLocation.Y));
// If the image is calibrated, convert the pixel values to real world coordinates.
if (numObjectResults == 6)
{
realWorldPosition = Algorithms.ConvertPixelToRealWorldCoordinates(image, new Collection <PointContour>(new PointContour[] { matchLocation }));
ivaData.stepResults[stepIndex].results.Add(new IVA_Result(String.Format("Match {0}.X Position (World)", i + 1), realWorldPosition.Points[0].X));
ivaData.stepResults[stepIndex].results.Add(new IVA_Result(String.Format("Match {0}.Y Position (World)", i + 1), realWorldPosition.Points[0].Y));
}
ivaData.stepResults[stepIndex].results.Add(new IVA_Result(String.Format("Match {0}.Angle (degrees)", i + 1), patternMatchingResults[i].Rotation));
ivaData.stepResults[stepIndex].results.Add(new IVA_Result(String.Format("Match {0}.Score", i + 1), patternMatchingResults[i].Score));
}
}
return(patternMatchingResults);
}
}
private void timer1_Tick(object sender, EventArgs e)
{
// Get the next image.
VisionImage image = GetNextImage();
// Locate the template in the image.
MatchPatternOptions matchOptions = new MatchPatternOptions(MatchMode.RotationInvariant, 1);
matchOptions.MinimumMatchScore = 500;
matchOptions.RotationAngleRanges.Add(new Range(-5, 5));
Collection <PatternMatch> matches = Algorithms.MatchPattern(image, template, matchOptions);
if (matches.Count != 1)
{
// If the template could not be located, the part fails.
passFailLed.Value = false;
}
else
{
// Perform the inspection
InspectionAlignment alignment = new InspectionAlignment(matches[0].Position, matches[0].Rotation);
InspectionOptions inspectionOptions = new InspectionOptions();
inspectionOptions.EdgeThicknessToIgnore = 1;
using (VisionImage defectImage = new VisionImage())
{
Algorithms.CompareGoldenTemplate(image, template, defectImage, alignment, inspectionOptions);
// Remove small defects from the image.
Algorithms.RemoveParticle(defectImage, defectImage);
// If there are still defects in the image, the part does not pass inspection.
if (Algorithms.ParticleReport(defectImage).Count > 0)
{
passFailLed.Value = false;
}
else
{
passFailLed.Value = true;
}
// Make a custom palette that displays the defects of interest (dark defects
// are set to 1 in the defect image and bright defects are set to 2):
// 1. Set the value of all non-defect pixels in the defect image to 255.
// 2. Set all of the pixels with a value of 1 or 2 to zero in the inspected image.
// 3. Make the requested defects visible by modifying the palette for the Viewer
// control. Start with a grayscale palette. Then modify the palette for the
// defect values (1 or 2) by changing them to a visible color.
// 4. Merge the defect image with the inspected image and place the output in
// the image attached to the viewer.
Algorithms.UserLookup(defectImage, defectImage, lookupTable);
Algorithms.Max(image, new PixelValue(3), image);
Palette palette = new Palette(PaletteType.Gray);
if (darkSwitch.Value)
{
palette.Entries[1] = new PaletteEntry(255, palette.Entries[1].Green, palette.Entries[1].Blue);
}
if (brightSwitch.Value)
{
palette.Entries[2] = new PaletteEntry(palette.Entries[2].Red, 255, palette.Entries[2].Blue);
}
imageViewer2.Palette = palette;
Algorithms.Min(image, defectImage, image);
imageViewer2.Attach(image);
}
}
}
