Class cv::ximgproc::AdaptiveManifoldFilter#

Interface for Adaptive Manifold Filter realizations. View details

#include <opencv2/ximgproc/edge_filter.hpp>

Collaboration diagram for cv::ximgproc::AdaptiveManifoldFilter:

Public Member Functions#

Public Member Functions inherited from cv::Algorithm

Return	Name	Description
	`Algorithm()`
	`~Algorithm()`
`void`	`clear()`	Clears the algorithm state.
`bool`	`empty()`	Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read.
`String`	`getDefaultName()`
`void`	`read(const FileNode & fn)`	Reads algorithm parameters from a file storage.
`void`	`save(const String & filename)`
`void`	`write(` `const Ptr< FileStorage > & fs,` `const String & name = String() )`
`void`	`write(FileStorage & fs)`	Stores algorithm parameters in a file storage.
`void`	`write(` `FileStorage & fs,` `const String & name )`

Static Public Member Functions inherited from cv::Algorithm

Return	Name	Description
`static Ptr< _Tp >`	`load(` `const String & filename,` `const String & objname = String() )`	Loads algorithm from the file.
`static Ptr< _Tp >`	`loadFromString(` `const String & strModel,` `const String & objname = String() )`	Loads algorithm from a String.
`static Ptr< _Tp >`	`read(const FileNode & fn)`	Reads algorithm from the file node.

Interface for Adaptive Manifold Filter realizations.

For more details about this filter see Gastal12 and References_.

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.

void cv::ximgproc::AdaptiveManifoldFilter::collectGarbage()

void cv::ximgproc::AdaptiveManifoldFilter::filter(
InputArray src,
OutputArray dst,
InputArray joint = noArray() )

Apply high-dimensional filtering using adaptive manifolds.

Parameters

src — filtering image with any numbers of channels.
dst — output image.
joint — optional joint (also called as guided) image with any numbers of channels.

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