private void Form1_Load(object sender, EventArgs e)
{
// Setup the default path for the classifier file and load it in.
classifierPath.Text = System.IO.Path.Combine(ExampleImagesFolder.GetExampleImagesFolder(), @"Classification\Parts.clf");
classifier = new ParticleClassifierSession(classifierPath.Text);
// Setup the default path for images
imagePath.Text = System.IO.Path.Combine(ExampleImagesFolder.GetExampleImagesFolder(), "Classification");
}
private void Form1_Load(object sender, EventArgs e)
{
// Get the image path
imagePath = System.IO.Path.Combine(ExampleImagesFolder.GetExampleImagesFolder(), "Parts");
imageNumber = 0;
// Read the classifier file
classifier = new ParticleClassifierSession(System.IO.Path.Combine(imagePath, "Parts.clf"));
// Enable the timer
timer1.Enabled = true;
timer1_Tick(timer1, EventArgs.Empty);
}
private Collection <ClassifierReport> IVA_Classify(VisionImage image, Roi roi, string classifierFilePath)
{
//retval = new VisGrainTypeCollection();
// Create a binary image that will contain the segmented image.
using (VisionImage binaryImage = new VisionImage(ImageType.U8, 7))
{
ParticleClassifierSession vaClassifier = new ParticleClassifierSession();
bool fileExists = System.IO.File.Exists(classifierFilePath);
vaClassifier.ReadFile(classifierFilePath);
// Segments the image.
Functions.IVA_Classification_Segmentation(image, binaryImage, roi, vaClassifier.PreprocessingOptions);
// Get the ROIs of all individual particles.
Collection <Roi> rois = Functions.IVA_Classification_Extract_Particles(image, binaryImage);
// Allocates the classifier reports for all objects in the image.
Collection <ClassifierReport> classifierReports = new Collection <ClassifierReport>();
List <VisGrainType> listGrainType = new List <VisGrainType>();
ListShape = new List <VisRectangleContour>();
// Classifies the object located in the given ROIs.
for (int i = 0; i < rois.Count; ++i)
{
//RectangleContour rect = binaryImage=new VisionImage()
object obj1 = rois[i][0].Shape;
RectangleContour rc = (RectangleContour)rois[i][0].Shape;
VisRectangleContour rect = new VisRectangleContour(rc);
ClassifierReport report = vaClassifier.Classify(image, rois[i]);
VisGrainType grainType = new VisGrainType {
Name = report.BestClassName, ScoreClassification = report.ClassificationScore, ScoreIdentification = report.IdentificationScore
};
listGrainType.Add(grainType);
classifierReports.Add(report);
ListShape.Add(rect);
}
GrainResultsType = new VisGrainTypeCollection();
GrainResultsType.Items = listGrainType;
return(classifierReports);
}
}
