private static Collection <GeometricEdgeBasedPatternMatch> IVA_MatchGeometricPattern2(VisionImage image,
string templatePath,
CurveOptions curveOptions,
MatchGeometricPatternEdgeBasedOptions matchOptions,
IVA_Data ivaData,
int stepIndex,
Roi roi)
{
// Geometric Matching (Edge Based)
// Creates the image template.
using (VisionImage imageTemplate = new VisionImage(ImageType.U8, 7))
{
// Read the image template.
imageTemplate.ReadVisionFile(templatePath);
Collection <GeometricEdgeBasedPatternMatch> gpmResults = Algorithms.MatchGeometricPatternEdgeBased(image, imageTemplate, curveOptions, matchOptions, 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);
ivaData.stepResults[stepIndex].results.Add(new IVA_Result("# Matches", gpmResults.Count));
for (int i = 0; i < gpmResults.Count; ++i)
{
ivaData.stepResults[stepIndex].results.Add(new IVA_Result(String.Format("Match {0}.X Position (Pix.)", i + 1), gpmResults[i].Position.X));
ivaData.stepResults[stepIndex].results.Add(new IVA_Result(String.Format("Match {0}.Y Position (Pix.)", i + 1), gpmResults[i].Position.Y));
// If the image is calibrated, log the calibrated results.
if ((image.InfoTypes & InfoTypes.Calibration) != 0)
{
ivaData.stepResults[stepIndex].results.Add(new IVA_Result(String.Format("Match {0}.X Position (World)", i + 1), gpmResults[i].CalibratedPosition.X));
ivaData.stepResults[stepIndex].results.Add(new IVA_Result(String.Format("Match {0}.Y Position (World)", i + 1), gpmResults[i].CalibratedPosition.Y));
}
ivaData.stepResults[stepIndex].results.Add(new IVA_Result(String.Format("Match {0}.Angle (degrees)", i + 1), gpmResults[i].Rotation));
ivaData.stepResults[stepIndex].results.Add(new IVA_Result(String.Format("Match {0}.Scale", i + 1), gpmResults[i].Scale));
ivaData.stepResults[stepIndex].results.Add(new IVA_Result(String.Format("Match {0}.Score", i + 1), gpmResults[i].Score));
ivaData.stepResults[stepIndex].results.Add(new IVA_Result(String.Format("Match {0}.Occlusion", i + 1), gpmResults[i].Occlusion));
ivaData.stepResults[stepIndex].results.Add(new IVA_Result(String.Format("Match {0}.Template Target Curve Score", i + 1), gpmResults[i].TemplateMatchCurveScore));
ivaData.stepResults[stepIndex].results.Add(new IVA_Result(String.Format("Match {0}.Correlation Score", i + 1), gpmResults[i].CorrelationScore));
}
return(gpmResults);
}
}
private void Form1_Load(object sender, EventArgs e)
{
// Get the image path
imagePath = System.IO.Path.Combine(ExampleImagesFolder.GetExampleImagesFolder(), @"Roundcard\");
// Load the pattern matching template.
template.ReadVisionFile(System.IO.Path.Combine(imagePath, "template.png"));
// Initialize the coordinate system data.
InitializeStageMotionInformation();
// Enable the timer.
timer1.Enabled = true;
timer1.Start();
timer1_Tick(timer1, EventArgs.Empty);
}
private void Form1_Load(object sender, EventArgs e)
{
// Get the image path
imagePath = System.IO.Path.Combine(ExampleImagesFolder.GetExampleImagesFolder(), @"Blister\");
imageNumber = 0;
// Load the template image.
template.ReadVisionFile(System.IO.Path.Combine(imagePath, "template.png"));
// Set up the color pattern matching options
matchOptions.ColorWeight = 300;
matchOptions.MinimumMatchScore = 500;
matchOptions.SearchStrategy = SearchStrategy.Aggressive;
// Enable the timer
timer1.Enabled = true;
timer1.Start();
timer1_Tick(timer1, EventArgs.Empty);
}
private void Form1_Load(object sender, EventArgs e)
{
// Create the lookup table.
lookupTable.Add(255);
for (short i = 1; i < 256; ++i)
{
lookupTable.Add(i);
}
// Read the golden template file.
template.ReadVisionFile(System.IO.Path.Combine(imagePath, "template.png"));
// Attach the template image to the viewer.
imageViewer1.Attach(template);
// Enable the timer.
timer1.Enabled = true;
timer1.Start();
timer1_Tick(timer1, EventArgs.Empty);
}
public static PointContour MatchPattern(VisionImage SourceImage, RectangleContour vaRect, string TemplateFile, int vaNumMatchesRequested, float vaMinMatchScore, float fUpper = 0, float fLower = 0)
{
PointContour point = new PointContour();
point.X = -10000;
point.Y = -10000;
// Creates a new, empty region of interest.
Roi roi = new Roi();
// Creates a new RotatedRectangleContour using the given values.
PointContour vaCenter = new PointContour(vaRect.Left + vaRect.Width / 2, vaRect.Top + vaRect.Height / 2);
RotatedRectangleContour vaRotatedRect = new RotatedRectangleContour(vaCenter, vaRect.Width - 50, vaRect.Height - 50, 0);
roi.Add(vaRotatedRect);
// MatchPattern Grayscale
// string TemplateFile = "D:\\t1.png";
MatchingAlgorithm matchAlgorithm = MatchingAlgorithm.MatchGrayValuePyramid;
float[] minAngleVals = { fLower, 0 };
float[] maxAngleVals = { fUpper, 0 };
int[] advancedOptionsItems = { 102, 106, 107, 108, 109, 111, 112, 113, 103, 104, 105, 100 };
double[] advancedOptionsValues = { 10, 300, 0, 6, 1, 20, 10, 20, 1, 20, 0, 5 };
int numberAdvOptions = 12;
//int vaNumMatchesRequested = 1;
//float vaMinMatchScore = 800;
using (VisionImage imageTemplate = new VisionImage(ImageType.U8, 7))
{
Collection <PatternMatchReport> patternMatchingResults = new Collection <PatternMatchReport>();
// Read the image template.
imageTemplate.ReadVisionFile(TemplateFile);
// Set the angle range.
Collection <RotationAngleRange> angleRange = new Collection <RotationAngleRange>();
for (int i = 0; i < 2; ++i)
{
angleRange.Add(new RotationAngleRange(minAngleVals[i], maxAngleVals[i]));
}
// Set the advanced options.
Collection <PMMatchAdvancedSetupDataOption> advancedMatchOptions = new Collection <PMMatchAdvancedSetupDataOption>();
for (int i = 0; i < numberAdvOptions; ++i)
{
advancedMatchOptions.Add(new PMMatchAdvancedSetupDataOption((MatchSetupOption)advancedOptionsItems[i], advancedOptionsValues[i]));
}
// Searches for areas in the image that match a given pattern.
patternMatchingResults = Algorithms.MatchPattern3(SourceImage, imageTemplate, matchAlgorithm, vaNumMatchesRequested, vaMinMatchScore, angleRange, roi, advancedMatchOptions);
string sPatterScore = "";
if (patternMatchingResults.Count > 0)
{
for (int i = 0; i < 1 /* patternMatchingResults.Count*/; ++i)
{
point.X = patternMatchingResults[i].Position.X;
point.Y = patternMatchingResults[i].Position.Y;
sPatterScore += " " + patternMatchingResults[i].Score.ToString();
//SourceImage.Overlays.Default.AddRectangle(new RectangleContour(point.X - imageTemplate.Width / 2 - 1, point.Y - imageTemplate.Height / 2 - 1, imageTemplate.Width, imageTemplate.Height), Rgb32Value.GreenColor);
LineContour l1 = new LineContour();
l1.Start.X = point.X - (imageTemplate.Width / 2 - 3);
l1.Start.Y = point.Y;
l1.End.X = point.X + (imageTemplate.Width / 2 - 3);
l1.End.Y = point.Y;
SourceImage.Overlays.Default.AddLine(l1, Rgb32Value.RedColor);
LineContour l2 = new LineContour();
l2.Start.X = point.X;
l2.Start.Y = point.Y - (imageTemplate.Height / 2 - 3);
l2.End.X = point.X;
l2.End.Y = point.Y + (imageTemplate.Height / 2 - 3);
SourceImage.Overlays.Default.AddLine(l2, Rgb32Value.RedColor);
}
}
}
roi.Dispose();
return(point);
}
private static Collection <PatternMatchReport> IVA_MatchPattern(VisionImage image,
IVA_Data ivaData,
string templatePath,
MatchingAlgorithm algorithm,
float[] angleRangeMin,
float[] angleRangeMax,
int[] advOptionsItems,
double[] advOptionsValues,
int numAdvancedOptions,
int matchesRequested,
float score,
Roi roi,
int stepIndex)
{
FileInformation fileInfo;
fileInfo = Algorithms.GetFileInformation(templatePath);
using (VisionImage imageTemplate = new VisionImage(fileInfo.ImageType, 7))
{
int numObjectResults = 4;
Collection <PatternMatchReport> patternMatchingResults = new Collection <PatternMatchReport>();
// Read the image template.
imageTemplate.ReadVisionFile(templatePath);
// If the image is calibrated, we also need to log the calibrated position (x and y) and angle -> 7 results instead of 4
if ((image.InfoTypes & InfoTypes.Calibration) != 0)
{
numObjectResults = 7;
}
// Set the angle range.
Collection <RotationAngleRange> angleRange = new Collection <RotationAngleRange>();
for (int i = 0; i < 2; ++i)
{
angleRange.Add(new RotationAngleRange(angleRangeMin[i], angleRangeMax[i]));
}
// Set the advanced options.
Collection <PMMatchAdvancedSetupDataOption> advancedMatchOptions = new Collection <PMMatchAdvancedSetupDataOption>();
for (int i = 0; i < numAdvancedOptions; ++i)
{
advancedMatchOptions.Add(new PMMatchAdvancedSetupDataOption((MatchSetupOption)advOptionsItems[i], advOptionsValues[i]));
}
// Searches for areas in the image that match a given pattern.
patternMatchingResults = Algorithms.MatchPattern3(image, imageTemplate, algorithm, matchesRequested, score, angleRange, roi, advancedMatchOptions);
// ////////////////////////////////////////
// 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)
{
ivaData.stepResults[stepIndex].results.Add(new IVA_Result(String.Format("Match {0}.X Position (Pix.)", i + 1), patternMatchingResults[i].Position.X));
ivaData.stepResults[stepIndex].results.Add(new IVA_Result(String.Format("Match {0}.Y Position (Pix.)", i + 1), patternMatchingResults[i].Position.Y));
// If the image is calibrated, add the calibrated positions.
if ((image.InfoTypes & InfoTypes.Calibration) != 0)
{
ivaData.stepResults[stepIndex].results.Add(new IVA_Result(String.Format("Match {0}.X Position (World)", i + 1), patternMatchingResults[i].CalibratedPosition.X));
ivaData.stepResults[stepIndex].results.Add(new IVA_Result(String.Format("Match {0}.Y Position (World)", i + 1), patternMatchingResults[i].CalibratedPosition.Y));
}
ivaData.stepResults[stepIndex].results.Add(new IVA_Result(String.Format("Match {0}.Angle (degrees)", i + 1), patternMatchingResults[i].Rotation));
if ((image.InfoTypes & InfoTypes.Calibration) != 0)
{
ivaData.stepResults[stepIndex].results.Add(new IVA_Result(String.Format("Match {0}.Calibrated Angle (degrees)", i + 1), patternMatchingResults[i].CalibratedRotation));
}
ivaData.stepResults[stepIndex].results.Add(new IVA_Result(String.Format("Match {0}.Score", i + 1), patternMatchingResults[i].Score));
}
}
return(patternMatchingResults);
}
}
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);
}
}
// timer1_Tick is called when the timer interval has passed. The next image
// is read in, barcode settings are initialized based on the type,
// and the barcode is read and processed.
private void timer1_Tick(object sender, EventArgs e)
{
// Stop the timer so that we don't count the time spent reading the barcode
timer1.Enabled = false;
using (VisionImage tempImage = new VisionImage()) {
// Load the barcode image.
tempImage.ReadVisionFile(curImages[imageIndex]);
Collection <Pdf417Report> pdf417Report = new Collection <Pdf417Report>();
DataMatrixReport dmReport = new DataMatrixReport();
QRReport qrReport = new QRReport();
// Read barcode and time how long it takes.
int startTime = System.Environment.TickCount;
if (barcodeType.Text == "PDF417")
{
// Decode a PDF417 code.
pdf417Report = Algorithms.ReadPdf417Barcode(tempImage);
}
else if (barcodeType.Text == "Data Matrix")
{
// Decode a Data Matrix
DataMatrixDescriptionOptions descOptions = new DataMatrixDescriptionOptions();
DataMatrixSizeOptions sizeOptions = new DataMatrixSizeOptions();
DataMatrixSearchOptions searchOptions = new DataMatrixSearchOptions();
if (useOptionsBox.Checked)
{
// Read the options from the image.
GetDataMatrixCodeSettings(tempImage, ref descOptions, ref sizeOptions, ref searchOptions);
}
DataMatrixGradingMode gradingMode = DataMatrixGradingMode.None;
if (gradeDMBox.Checked)
{
gradingMode = DataMatrixGradingMode.PrepareForAim;
}
dmReport = Algorithms.ReadDataMatrixBarcode(tempImage, null, gradingMode, descOptions, sizeOptions, searchOptions);
}
else
{
// Decode a QR Code
QRDescriptionOptions descOptions = new QRDescriptionOptions();
QRSizeOptions sizeOptions = new QRSizeOptions();
QRSearchOptions searchOptions = new QRSearchOptions();
if (useOptionsBox.Checked)
{
// Read the options from the image.
}
qrReport = Algorithms.ReadQRCode(tempImage, null, descOptions, sizeOptions, searchOptions);
}
int elapsedTime = System.Environment.TickCount - startTime;
bool found;
if (barcodeType.Text == "PDF417")
{
found = pdf417Report.Count > 0;
}
else if (barcodeType.Text == "Data Matrix")
{
found = dmReport.Found;
}
else
{
found = qrReport.Found;
}
// Process info
if (found)
{
PointContour centerPoint = new PointContour();
if (barcodeType.Text == "PDF417")
{
dataFound.Text = pdf417Report[0].StringData;
typeFound.Text = "Pdf417";
tempImage.Overlays.Default.AddPolygon(new PolygonContour(pdf417Report[0].Corners), Rgb32Value.GreenColor, DrawingMode.DrawValue);
// Center the viewer on the barcode.
centerPoint.Initialize((pdf417Report[0].Corners[0].X + pdf417Report[0].Corners[2].X) / 2, (pdf417Report[0].Corners[0].Y + pdf417Report[0].Corners[2].Y) / 2);
}
else if (barcodeType.Text == "Data Matrix")
{
if (dmReport.Binary)
{
dataFound.Text = System.Text.Encoding.Default.GetString(dmReport.GetBinaryData());
}
else
{
dataFound.Text = dmReport.StringData;
}
DisplayDataMatrixType(dmReport);
tempImage.Overlays.Default.AddPolygon(new PolygonContour(dmReport.Corners), Rgb32Value.GreenColor, DrawingMode.DrawValue);
// Center the viewer on the barcode.
centerPoint.Initialize((dmReport.Corners[0].X + dmReport.Corners[2].X) / 2, (dmReport.Corners[0].Y + dmReport.Corners[2].Y) / 2);
// Grade the barcode if requested.
if (gradeDMBox.Checked)
{
AimGradeReport gradeReport = Algorithms.GradeDataMatrixBarcodeAim(tempImage);
gradeOverall.Text = gradeReport.OverallGrade.ToString();
gradeDecoding.Text = gradeReport.DecodingGrade.ToString();
gradeSymbolContrast.Text = gradeReport.SymbolContrastGrade.ToString();
gradePrintGrowth.Text = gradeReport.PrintGrowthGrade.ToString();
gradeAxialNonuniformity.Text = gradeReport.AxialNonuniformityGrade.ToString();
gradeUnusedErrorCorrection.Text = gradeReport.UnusedErrorCorrectionGrade.ToString();
}
else
{
gradeOverall.Text = "";
gradeDecoding.Text = "";
gradeSymbolContrast.Text = "";
gradePrintGrowth.Text = "";
gradeAxialNonuniformity.Text = "";
gradeUnusedErrorCorrection.Text = "";
}
}
else
{
dataFound.Text = System.Text.Encoding.Default.GetString(qrReport.GetData());
DisplayQRType(qrReport);
tempImage.Overlays.Default.AddPolygon(new PolygonContour(qrReport.Corners), Rgb32Value.GreenColor, DrawingMode.DrawValue);
// Center the viewer on the barcode.
centerPoint.Initialize((qrReport.Corners[0].X + qrReport.Corners[2].X) / 2, (qrReport.Corners[0].Y + qrReport.Corners[2].Y) / 2);
}
readTime.Text = elapsedTime.ToString();
Algorithms.Copy(tempImage, imageViewer1.Image);
imageViewer1.RefreshImage();
imageViewer1.Center.Initialize(centerPoint.X, centerPoint.Y);
}
}
// Set up for next image
imageIndex = (imageIndex + 1) % curImages.Count;
timer1.Enabled = true;
}
