AdaptiveManifoldFilter

Objective-C

@interface AdaptiveManifoldFilter : Algorithm

Swift

class AdaptiveManifoldFilter : Algorithm

Interface for Adaptive Manifold Filter realizations.

For more details about this filter see CITE: 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.

Member of Ximgproc


                    
                    
                    +create

Objective-C

+ (AdaptiveManifoldFilter*)create NS_SWIFT_NAME(create());

Swift

class func create() -> AdaptiveManifoldFilter


                    
                    
                    -collectGarbage

Objective-C

- (void)collectGarbage NS_SWIFT_NAME(collectGarbage());

Swift

func collectGarbage()


                    
                    
                    -filter:dst:joint:

Apply high-dimensional filtering using adaptive manifolds.

Objective-C

- (void)filter:(nonnull Mat *)src
           dst:(nonnull Mat *)dst
         joint:(nonnull Mat *)joint;

Swift

func filter(src: Mat, dst: Mat, joint: Mat)

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


                    
                    
                    -filter:dst:

Apply high-dimensional filtering using adaptive manifolds.

Objective-C

- (void)filter:(nonnull Mat *)src dst:(nonnull Mat *)dst;

Swift

func filter(src: Mat, dst: Mat)

`src`	filtering image with any numbers of channels.
`dst`	output image.