internal Matrix <float> getFeaturesAsMatrix()
{
Dictionary <string, string> featuresDict = this.getFeaturesAsDict();
float[] featuresVector = featuresDict.Where(f => f.Key != "id" && f.Key != "class").Select(f => Convert.ToSingle(f.Value)).ToArray();
//Console.WriteLine(String.Join(",", featuresVector));
Matrix <float> row = FeaturesUtilities.vector2matrix(featuresVector);
return(row);
}
internal Task computeFeatures()
{
return(Task.Run(delegate() {
using (Image <Bgr, Byte> src = this.blob.Image.ToManagedImage().ToImage <Bgr, Byte>()){
VectorOfPoint contour = FeaturesUtilities.getMaxContour(src);
if (contour != null && contour.Size > 5)
{
CircleF circle = CvInvoke.MinEnclosingCircle(contour);
RotatedRect ellipse = CvInvoke.FitEllipse(contour);
// extract shape features
Rectangle bounds = CvInvoke.BoundingRectangle(contour);
this.area = CvInvoke.ContourArea(contour, false);
this.perimeter = CvInvoke.ArcLength(contour, true);
this.shape = (4 * Math.PI * area) / Math.Pow(perimeter, 2);
this.npoints = contour.Size;
this.width = bounds.Width;
this.height = bounds.Height;
this.centroideY = circle.Center.Y;
this.centroideX = circle.Center.X;
this.radius = circle.Radius;
this.aspectRatio = width / height;
this.extent = area / (width * height);
//extract texture features
using (Image <Gray, Byte> gray = src.Convert <Gray, Byte>()){
var glcm = new GrayLevelCooccurrenceMatrix(distance: 1, degree: CooccurrenceDegree.Degree0, normalize: true);
// Extract the matrix from the image
double[,] matrix = glcm.Compute(gray.ToBitmap());
HaralickDescriptor haralick = new HaralickDescriptor(matrix);
double[] haralickFeatures = haralick.GetVector();
this.homogeneity = haralick.AngularSecondMomentum;
this.contrast = haralick.Contrast;
this.haralickFeatures = haralickFeatures;
}
using (Image <Hsv, Byte> hsv = src.Convert <Hsv, Byte>()) {
this.hsvColor = new MCvScalar()
{
V0 = hsv.Data[(int)circle.Center.Y, (int)circle.Center.X, 0],
V1 = hsv.Data[(int)circle.Center.Y, (int)circle.Center.X, 1],
V2 = hsv.Data[(int)circle.Center.Y, (int)circle.Center.X, 2]
};
}
this.bgrColor = new MCvScalar()
{
V0 = src.Data[(int)circle.Center.Y, (int)circle.Center.X, 0],
V1 = src.Data[(int)circle.Center.Y, (int)circle.Center.X, 1],
V2 = src.Data[(int)circle.Center.Y, (int)circle.Center.X, 2]
};
}
}
}));
}
