AdaptiveManifoldFilter Class

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

Public Class AdaptiveManifoldFilter
	Inherits Algorithm

public ref class AdaptiveManifoldFilter : public Algorithm

type AdaptiveManifoldFilter =  
    class
        inherit Algorithm
    end