Class AdaptiveManifoldFilter

Interface for Adaptive Manifold Filter realizations.

Below listed optional parameters which may be set up with Algorithm::set function.

member double sigma_s = 16.0 Spatial standard deviation.
member double sigma_r = 0.2 Color space standard deviation.
member int tree_height = -1 Height of the manifold tree (default = -1 : automatically computed).
member int num_pca_iterations = 1 Number of iterations to computed the eigenvector.
member bool adjust_outliers = false Specify adjust outliers using Eq. 9 or not.
member bool use_RNG = true Specify use random number generator to compute eigenvector or not.

public class AdaptiveManifoldFilter : Algorithm, IDisposable

Inheritance: object

CvObject

CvPtrObject

Algorithm

AdaptiveManifoldFilter

Inherited Members: Algorithm.Write(FileStorage)

Algorithm.Read(FileNode)

Algorithm.Empty

Algorithm.Save(string)

Algorithm.GetDefaultName()

CvPtrObject.RawPtr

CvObject.IsDisposed

CvObject.ptr

CvObject.SetSafeHandle(OpenCvSafeHandle)

CvObject.SetPostReleaseAction(Action)

CvObject.Dispose()

CvObject.Dispose(bool)

CvObject.DisposeManaged()

CvObject.DisposeUnmanaged()

CvObject.ThrowIfDisposed()

CvObject.CvPtr

object.Equals(object)

object.Equals(object, object)

object.GetHashCode()

object.GetType()

object.MemberwiseClone()

object.ReferenceEquals(object, object)

object.ToString()

Properties

Create(double, double, bool): Factory method, create instance of AdaptiveManifoldFilter and produce some initialization routines.

Filter(InputArray, OutputArray, InputArray): Apply high-dimensional filtering using adaptive manifolds.