public static PaletteType ProcessImage(VisionImage image)
{
// Initialize the IVA_Data structure to pass results and coordinate systems.
IVA_Data ivaData = new IVA_Data(4, 0);
// Creates a new, empty region of interest.
Roi roi = new Roi();
// Creates a new AnnulusContour using the given values.
PointContour vaCenter = new PointContour(1295, 970);
AnnulusContour vaOval = new AnnulusContour(vaCenter, 412, 954, 0, 0);
roi.Add(vaOval);
// Find Circular Edge
EdgeOptions vaOptions = new EdgeOptions();
vaOptions.ColumnProcessingMode = ColumnProcessingMode.Average;
vaOptions.InterpolationType = InterpolationMethod.Bilinear;
vaOptions.KernelSize = 3;
vaOptions.MinimumThreshold = 50;
vaOptions.Polarity = EdgePolaritySearchMode.Rising;
vaOptions.Width = 3;
CircularEdgeFitOptions vaFitOptions = new CircularEdgeFitOptions();
vaFitOptions.ProcessType = RakeProcessType.GetBestEdges;
vaFitOptions.StepSize = 10;
vaFitOptions.MaxPixelRadius = 3;
vaCircularEdgeReport = IVA_FindCircularEdge(image, roi, SpokeDirection.InsideToOutside, vaOptions, vaFitOptions, ivaData, 1);
roi.Dispose();
// Overlays a line onto the image.
int[] xCoords = { 1296, 1296 };
int[] yCoords = { 0, 1944 };
byte[] vaColor = { 6, 0, 239 };
IVA_OverlayLine(image, xCoords, yCoords, vaColor);
// Overlays a line onto the image.
int[] xCoords2 = { 0, 2592 };
int[] yCoords2 = { 972, 972 };
byte[] vaColor2 = { 6, 0, 239 };
IVA_OverlayLine(image, xCoords2, yCoords2, vaColor2);
// Dispose the IVA_Data structure.
ivaData.Dispose();
// Return the palette type of the final image.
return(PaletteType.Gray);
}
private static FindCircularEdgeReport IVA_FindCircularEdge(VisionImage image,
Roi roi,
SpokeDirection direction,
EdgeOptions options,
CircularEdgeFitOptions fitOptions,
IVA_Data ivaData,
int stepIndex)
{
// First, delete all the results of this step (from a previous iteration)
Functions.IVA_DisposeStepResults(ivaData, stepIndex);
FindCircularEdgeOptions circleOptions = new FindCircularEdgeOptions(direction);
circleOptions.EdgeOptions = options;
FindCircularEdgeReport circleReport = new FindCircularEdgeReport();
// Calculate the edge locations
circleReport = Algorithms.FindCircularEdge(image, roi, circleOptions, fitOptions);
// If a circle was found, add results
if (circleReport.CircleFound)
{
ivaData.stepResults[stepIndex].results.Add(new IVA_Result("Center.X Position (Pix.)", circleReport.Center.X));
ivaData.stepResults[stepIndex].results.Add(new IVA_Result("Center.Y Position (Pix.)", circleReport.Center.Y));
if ((image.InfoTypes & InfoTypes.Calibration) != 0)
{
ivaData.stepResults[stepIndex].results.Add(new IVA_Result("Center.X Position (Calibrated)", circleReport.CenterCalibrated.X));
ivaData.stepResults[stepIndex].results.Add(new IVA_Result("Center.Y Position (Calibrated)", circleReport.CenterCalibrated.Y));
}
ivaData.stepResults[stepIndex].results.Add(new IVA_Result("Radius (Pix.)", circleReport.Radius));
if ((image.InfoTypes & InfoTypes.Calibration) != 0)
{
ivaData.stepResults[stepIndex].results.Add(new IVA_Result("Radius (Calibrated)", circleReport.RadiusCalibrated));
}
ivaData.stepResults[stepIndex].results.Add(new IVA_Result("Deviation", circleReport.Roundness));
}
return(circleReport);
}
public static PaletteType ProcessImage(VisionImage image, string path, out double[] distance)
{
// Initialize the IVA_Data structure to pass results and coordinate systems.
IVA_Data ivaData = new IVA_Data(17, 1);
distance = new double[4] {
0, 0, 0, 0
};
// Creates a new, empty region of interest.
Roi roi = new Roi();
// Creates a new AnnulusContour using the given values.
PointContour vaCenter = new PointContour(1283, 965);
AnnulusContour vaOval = new AnnulusContour(vaCenter, 418, 702, 0, 0);
roi.Add(vaOval);
// Find Circular Edge
EdgeOptions vaOptions = new EdgeOptions();
vaOptions.ColumnProcessingMode = ColumnProcessingMode.Average;
vaOptions.InterpolationType = InterpolationMethod.Bilinear;
vaOptions.KernelSize = 3;
vaOptions.MinimumThreshold = 18;
vaOptions.Polarity = EdgePolaritySearchMode.Rising;
vaOptions.Width = 3;
CircularEdgeFitOptions vaFitOptions = new CircularEdgeFitOptions();
vaFitOptions.ProcessType = RakeProcessType.GetFirstEdges;
vaFitOptions.StepSize = 7;
vaFitOptions.MaxPixelRadius = 3;
vaCircularEdgeReport = IVA_FindCircularEdge(image, roi, SpokeDirection.InsideToOutside, vaOptions, vaFitOptions, ivaData, 1);
roi.Dispose();
// Set Coordinate System
int vaCoordSystemIndex = 0;
int stepIndexOrigin = 1;
int resultIndexOrigin = 0;
int stepIndexAngle = -1;
int resultIndexAngle = 0;
double refSysOriginX = vaCircularEdgeReport.Center.X;
double refSysOriginY = vaCircularEdgeReport.Center.Y;
double refSysAngle = 0;
AxisOrientation refSysAxisOrientation = AxisOrientation.Direct;
int vaCoordSystemType = 0;
IVA_CoordSys(vaCoordSystemIndex, stepIndexOrigin, resultIndexOrigin, stepIndexAngle, resultIndexAngle, refSysOriginX, refSysOriginY, refSysAngle, refSysAxisOrientation, vaCoordSystemType, ivaData);
// Image Buffer: Push
Functions.IVA_PushBuffer(ivaData, image, 0);
// Get Image
string vaFilePath = path;
FileInformation vaFileInfo = Algorithms.GetFileInformation(vaFilePath);
// Set the image size to 0 to speed up the cast.
//image.SetSize(0, 0);
//image.Type = vaFileInfo.ImageType;
//image.BitDepth = 0;
image.ReadFile(vaFilePath);
switch (image.Type)
{
case ImageType.I16:
case ImageType.U16:
if (image.BitDepth == 0 & false)
{
image.BitDepth = 10;
}
break;
default:
break;
}
// Operators: Absolute Difference Image
Algorithms.AbsoluteDifference(image, Functions.IVA_GetBuffer(ivaData, 0), image);
// Creates a new, empty region of interest.
Roi roi2 = new Roi();
// Creates a new AnnulusContour using the given values.
PointContour vaCenter2 = new PointContour(vaCircularEdgeReport.Center.X, vaCircularEdgeReport.Center.Y);
AnnulusContour vaOval2 = new AnnulusContour(vaCenter2, 527, 846, 0, 0);
roi2.Add(vaOval2);
// Reposition the region of interest based on the coordinate system.
int coordSystemIndex = 0;
Algorithms.TransformRoi(roi2, new CoordinateTransform(ivaData.baseCoordinateSystems[coordSystemIndex], ivaData.MeasurementSystems[coordSystemIndex]));
// Mask from ROI
IVA_Mask_From_ROI(image, roi2, false, false);
roi2.Dispose();
// Color Threshold
Range plane1Range = new Range(0, 60);
Range plane2Range = new Range(0, 50);
Range plane3Range = new Range(0, 255);
using (VisionImage thresholdImage = new VisionImage(ImageType.U8, 7))
{
Algorithms.ColorThreshold(image, thresholdImage, ColorMode.Rgb, 1, plane1Range, plane2Range, plane3Range);
Algorithms.Copy(thresholdImage, image);
}
// Truncates the frequencies of an image.
IVA_FFT_Truncate(image, TruncateMode.High, 7);
// Advanced Morphology: Remove Objects
int[] vaCoefficients = { 1, 1, 1, 1, 1, 1, 1, 1, 1 };
StructuringElement vaStructElem = new StructuringElement(3, 3, vaCoefficients);
vaStructElem.Shape = StructuringElementShape.Square;
// Filters particles based on their size.
Algorithms.RemoveParticle(image, image, 30, SizeToKeep.KeepLarge, Connectivity.Connectivity8, vaStructElem);
// Invert Binary Image.
IVA_BinaryInverse(image);
// Advanced Morphology: Remove Objects
int[] vaCoefficients2 = { 1, 1, 1, 1, 1, 1, 1, 1, 1 };
StructuringElement vaStructElem2 = new StructuringElement(3, 3, vaCoefficients2);
vaStructElem.Shape = StructuringElementShape.Square;
// Filters particles based on their size.
Algorithms.RemoveParticle(image, image, 5, SizeToKeep.KeepLarge, Connectivity.Connectivity8, vaStructElem2);
// Basic Morphology - Applies morphological transformations to binary images.
int[] vaCoefficients3 = { 0, 1, 0, 1, 1, 1, 0, 1, 0 };
StructuringElement vaStructElem3 = new StructuringElement(3, 3, vaCoefficients3);
vaStructElem.Shape = StructuringElementShape.Square;
// Applies morphological transformations
for (int i = 0; i < 3; ++i)
{
Algorithms.Morphology(image, image, MorphologyMethod.Erode, vaStructElem3);
}
// Advanced Morphology: Fill Holes
VisionImage image1 = new VisionImage();
Algorithms.FillHoles(image, image1, Connectivity.Connectivity8);
// Particle Analysis - Computes the number of particles detected in a binary image and
// returns the requested measurements about the particles.
Collection <MeasurementType> vaPixelMeasurements = new Collection <MeasurementType>(new MeasurementType[] { MeasurementType.Area });
Collection <MeasurementType> vaCalibratedMeasurements = new Collection <MeasurementType>(new MeasurementType[] { });
IVA_Particle(image1, Connectivity.Connectivity8, vaPixelMeasurements, vaCalibratedMeasurements, ivaData, 16, out vaParticleReport, out vaParticleReportCalibrated);
double[,] area = vaParticleReport.PixelMeasurements;
double Maxarea = 0;
for (int i = 0; i < area.GetLength(0); i++)
{
for (int j = 0; j < area.GetLength(1); j++)
{
if (area[i, j] > Maxarea)
{
Maxarea = area[i, j];
}
}
}
image1.Dispose();
if (Maxarea > 1000000)
{
// Creates a new, empty region of interest.
Roi roi3 = new Roi();
// Creates a new AnnulusContour using the given values.
PointContour vaCenter3 = new PointContour(1295, 963);
AnnulusContour vaOval3 = new AnnulusContour(vaCenter3, 496, 892, 0, 0);
roi3.Add(vaOval3);
// Reposition the region of interest based on the coordinate system.
int coordSystemIndex2 = 0;
Algorithms.TransformRoi(roi3, new CoordinateTransform(ivaData.baseCoordinateSystems[coordSystemIndex2], ivaData.MeasurementSystems[coordSystemIndex2]));
// Extract the contour edges from the image
CurveParameters vaCurveParams = new CurveParameters(ExtractionMode.NormalImage, 1, EdgeFilterSize.ContourTracing, 30, 20, 10, true);
double[] vaConstraintMinArray = { };
double[] vaConstraintMaxArray = { };
ConnectionConstraintType[] vaConstraintTypeArray = { };
ExtractContourReport vaExtractReport = IVA_ExtractContour(image, roi3, ExtractContourDirection.AnnulusOuterInner, vaCurveParams, vaConstraintTypeArray, vaConstraintMinArray, vaConstraintMaxArray, ExtractContourSelection.Closest);
// Fit a circle to the contour
ContourOverlaySettings vaEquationOverlay = new ContourOverlaySettings(true, Rgb32Value.GreenColor, 1, true);
ContourOverlaySettings vaPointsOverlay = new ContourOverlaySettings(true, Rgb32Value.RedColor, 1, true);
PartialCircle vaCircleReport = Algorithms.ContourFitCircle(image, 100, true);
Algorithms.ContourOverlay(image, image, vaPointsOverlay, vaEquationOverlay);
ComputeDistanceReport vaDistanceReport = Algorithms.ContourComputeDistances(image, image, 0);
MaxDistance = 0;
MaxDistanceIndex = 0;
for (int i = 0; i < vaDistanceReport.Distances.Count; i++)
{
if (vaDistanceReport.Distances[i].Distance > MaxDistance)
{
MaxDistance = vaDistanceReport.Distances[i].Distance;
MaxDistanceIndex = i;
}
}
var pos = vaDistanceReport.Distances[MaxDistanceIndex];
distance[0] = MaxDistance;
roi3.Dispose();
// Creates a new, empty region of interest.
Roi roi4 = new Roi();
// Creates a new AnnulusContour using the given values.
PointContour vaCenter4 = new PointContour(1294, 962);
AnnulusContour vaOval4 = new AnnulusContour(vaCenter4, 499, 885, 0, 0);
roi4.Add(vaOval4);
// Reposition the region of interest based on the coordinate system.
int coordSystemIndex3 = 0;
Algorithms.TransformRoi(roi4, new CoordinateTransform(ivaData.baseCoordinateSystems[coordSystemIndex3], ivaData.MeasurementSystems[coordSystemIndex3]));
// Extract the contour edges from the image
CurveParameters vaCurveParams2 = new CurveParameters(ExtractionMode.NormalImage, 1, EdgeFilterSize.ContourTracing, 30, 25, 10, true);
double[] vaConstraintMinArray2 = { };
double[] vaConstraintMaxArray2 = { };
ConnectionConstraintType[] vaConstraintTypeArray2 = { };
ExtractContourReport vaExtractReport2 = IVA_ExtractContour(image, roi4, ExtractContourDirection.AnnulusInnerOuter, vaCurveParams2, vaConstraintTypeArray2, vaConstraintMinArray2, vaConstraintMaxArray2, ExtractContourSelection.Closest);
// Fit a circle to the contour
ContourOverlaySettings vaEquationOverlay2 = new ContourOverlaySettings(true, Rgb32Value.GreenColor, 1, true);
ContourOverlaySettings vaPointsOverlay2 = new ContourOverlaySettings(true, Rgb32Value.RedColor, 1, true);
PartialCircle vaCircleReport2 = Algorithms.ContourFitCircle(image, 100, true);
Algorithms.ContourOverlay(image, image, vaPointsOverlay2, vaEquationOverlay2);
ComputeDistanceReport vaDistanceReport2 = Algorithms.ContourComputeDistances(image, image, 0);
MaxDistance1 = 0;
MaxDistanceIndex1 = 0;
for (int i = 0; i < vaDistanceReport2.Distances.Count; i++)
{
if (vaDistanceReport2.Distances[i].Distance > MaxDistance1)
{
MaxDistance1 = vaDistanceReport2.Distances[i].Distance;
MaxDistanceIndex1 = i;
}
}
var pos1 = vaDistanceReport2.Distances[MaxDistanceIndex1];
distance[1] = MaxDistance1;
distance[2] = (vaCircleReport2.Center.X - vaCircularEdgeReport.Center.X) / 96;
distance[3] = (vaCircleReport2.Center.Y - vaCircularEdgeReport.Center.Y) / 96;
roi4.Dispose();
}
else
{
distance[0] = 9999;
distance[1] = 9999;
distance[2] = 9999;
distance[3] = 9999;
}
// Dispose the IVA_Data structure.
ivaData.Dispose();
if (path == $"{ @"./ImageTemp/temp.jpg"}")
{
image.Dispose();
}
// Return the palette type of the final image.
return(PaletteType.Binary);
}