/// <summary>
/// Classifies <paramref name="image"/>, creating a distribution over all labels at each pixel.
/// </summary>
/// <param name="tree">The tree used for the computation</param>
/// <param name="image">Image to classify</param>
/// <returns>Distributions at each pixel</returns>
public static DistributionImage ClassifySoft <T>(this DecisionTree <ImageDataPoint <T>, T[]> tree, IMultichannelImage <T> image)
{
DistributionImage dist = new DistributionImage(image.Rows, image.Columns, tree.LabelCount);
tree.ClassifySoft(image, dist);
dist.Normalize();
return(dist);
}
/// <summary>
/// Classifies each pixel of <paramref name="image"/> and produces a corresponding <see cref="T:LabelImage" />. The maximum likelihood label
/// is chosen at each pixel.
/// </summary>
/// <param name="tree">The tree used for the computation</param>
/// <param name="image">Image to classify</param>
/// <returns>A label image with all of the classifications</returns>
public static LabelImage Classify <T>(this DecisionTree <ImageDataPoint <T>, T[]> tree, IMultichannelImage <T> image)
{
return(tree.ClassifySoft(image).ToLabelImage());
}