public static PaletteType ProcessImage(VisionImage image)
{
// Initialize the IVA_Data structure to pass results and coordinate systems.
IVA_Data ivaData = new IVA_Data(2, 0);
// Creates a new, empty region of interest.
Roi roi = new Roi();
// 建一條巡邊線Star(229,40) End(229,300)
PointContour vaStartPoint = new PointContour(229, 40);
PointContour vaEndPoint = new PointContour(229, 300);
LineContour vaLine = new LineContour(vaStartPoint, vaEndPoint);
roi.Add(vaLine);
// 邊緣偵測;採用簡單邊緣偵測方式
SimpleEdgeOptions vaSimpleEdgeOptions = new SimpleEdgeOptions();
vaSimpleEdgeOptions.Process = EdgeProcess.All;
vaSimpleEdgeOptions.Type = LevelType.Absolute;
vaSimpleEdgeOptions.Threshold = 128;
vaSimpleEdgeOptions.Hysteresis = 2;
vaSimpleEdgeOptions.SubPixel = true;
simpleEdges = IVA_SimpleEdge(image, roi, vaSimpleEdgeOptions, ivaData, 0);
roi.Dispose();
// Caliper
// Delete all the results of this step (from a previous iteration)
Functions.IVA_DisposeStepResults(ivaData, 1);
// Computes the vaDistance between two points.
Collection <double> vaDistance = IVA_GetDistance(image, ivaData, 1, 0, 3, 0, 5);
caliperDistance = vaDistance[0];
// Dispose the IVA_Data structure.
ivaData.Dispose();
//列出相關AOI資料
MessageBox.Show("座標點1" + simpleEdges[2].ToString() + "\r\n" +
"座標點2" + simpleEdges[0].ToString() + "\r\n" +
"座標點3" + simpleEdges[1].ToString() + "\r\n" + "\r\n" +
"間距量測" + caliperDistance.ToString());
//繪出檢測直線(巡邊線)
//Graphics g = Graphics.FromImage(FileName)
//g.DrawLine(0, 0, 100, 100);
// Return the palette type of the final image.
return(PaletteType.Gray);
}
private static Collection <PointContour> IVA_SimpleEdge(VisionImage image,
Roi roi,
SimpleEdgeOptions simpleEdgeOptions,
IVA_Data ivaData,
int stepIndex)
{
// Calculates the profile of the pixels along the edge of each contour in the region of interest.
using (VisionImage monoImage = new VisionImage(ImageType.U8, 7))
{
if (image.Type == ImageType.Rgb32 || image.Type == ImageType.Hsl32)
{
Algorithms.ExtractColorPlanes(image, ColorMode.Hsl, null, null, monoImage);
}
else
{
Algorithms.Copy(image, monoImage);
}
RoiProfileReport roiProfile = Algorithms.RoiProfile(monoImage, roi);
// Finds prominent edges along the array of pixel coordinates.
Collection <PointContour> edges = Algorithms.SimpleEdge(monoImage, roiProfile.Pixels, simpleEdgeOptions);
// 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("# of Edges", edges.Count));
for (int i = 0; i < edges.Count; ++i)
{
ivaData.stepResults[stepIndex].results.Add(new IVA_Result(String.Format("Edge {0}.X Position (Pix.)", i + 1), edges[i].X));
ivaData.stepResults[stepIndex].results.Add(new IVA_Result(String.Format("Edge {0}.Y Position (Pix.)", i + 1), edges[i].Y));
// If the image is calibrated, convert the pixel values to real world coordinates.
if ((image.InfoTypes & InfoTypes.Calibration) != 0)
{
PointContour edgeLocation = new PointContour(edges[i].X, edges[i].Y);
CoordinatesReport realWorldPosition = Algorithms.ConvertPixelToRealWorldCoordinates(image, new Collection <PointContour>(new PointContour[] { edgeLocation }));
ivaData.stepResults[stepIndex].results.Add(new IVA_Result(String.Format("Edge {0}.X Position (World)", i + 1), realWorldPosition.Points[0].X));
ivaData.stepResults[stepIndex].results.Add(new IVA_Result(String.Format("Edge {0}.Y Position (World)", i + 1), realWorldPosition.Points[0].Y));
}
}
return(edges);
}
}
private void Form1_Load(object sender, EventArgs e)
{
// Do not delete new lines that the user places.
imageViewer1.AutoDelete = false;
EnableRoiSelection();
// Limit the number of regions to 5.
imageViewer1.Roi.MaximumContours = 5;
// Set up the edge options.
simpleEdgeOptions = new SimpleEdgeOptions();
simpleEdgeOptions.Threshold = 200;
// Display the first image.
imageViewer1.Attach(GetNextImage());
}
public static PaletteType ProcessImage(VisionImage image)
{
// Initialize the IVA_Data structure to pass results and coordinate systems.
IVA_Data ivaData = new IVA_Data(2, 0);
// Creates a new, empty region of interest.
Roi roi = new Roi();
// Creates a new LineContour using the given values.
PointContour vaStartPoint = new PointContour(229, 42);
PointContour vaEndPoint = new PointContour(229, 298);
LineContour vaLine = new LineContour(vaStartPoint, vaEndPoint);
roi.Add(vaLine);
// Edge Detector - Simple Edge
SimpleEdgeOptions vaSimpleEdgeOptions = new SimpleEdgeOptions();
vaSimpleEdgeOptions.Process = EdgeProcess.All;
vaSimpleEdgeOptions.Type = LevelType.Absolute;
vaSimpleEdgeOptions.Threshold = 128;
vaSimpleEdgeOptions.Hysteresis = 2;
vaSimpleEdgeOptions.SubPixel = true;
simpleEdges = IVA_SimpleEdge(image, roi, vaSimpleEdgeOptions, ivaData, 0);
roi.Dispose();
// Caliper
// Delete all the results of this step (from a previous iteration)
Functions.IVA_DisposeStepResults(ivaData, 1);
// Computes the vaDistance between two points.
Collection <double> vaDistance = IVA_GetDistance(image, ivaData, 1, 0, 3, 0, 5);
caliperDistance = vaDistance[0];
// Dispose the IVA_Data structure.
ivaData.Dispose();
// Return the palette type of the final image.
return(PaletteType.Gray);
}
