Struct opencv::ximgproc::AdaptiveManifoldFilter

pub struct AdaptiveManifoldFilter { /* private fields */ }

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.

Implementations

impl AdaptiveManifoldFilter

pub fn create() -> Result<Ptr<AdaptiveManifoldFilter>>

Trait Implementations

impl AdaptiveManifoldFilterTrait for AdaptiveManifoldFilter

fn as_raw_mut_AdaptiveManifoldFilter(&mut self) -> *mut c_void

fn filter( &mut self, src: &impl ToInputArray, dst: &mut impl ToOutputArray, joint: &impl ToInputArray ) -> Result<()>

Apply high-dimensional filtering using adaptive manifolds.

fn filter_def( &mut self, src: &impl ToInputArray, dst: &mut impl ToOutputArray ) -> Result<()>

Apply high-dimensional filtering using adaptive manifolds.

fn collect_garbage(&mut self) -> Result<()>

fn set_sigma_s(&mut self, val: f64) -> Result<()>

See also

fn set_sigma_r(&mut self, val: f64) -> Result<()>

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fn set_tree_height(&mut self, val: i32) -> Result<()>

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fn set_pca_iterations(&mut self, val: i32) -> Result<()>

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fn set_adjust_outliers(&mut self, val: bool) -> Result<()>

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fn set_use_rng(&mut self, val: bool) -> Result<()>

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impl AdaptiveManifoldFilterTraitConst for AdaptiveManifoldFilter

fn as_raw_AdaptiveManifoldFilter(&self) -> *const c_void

fn get_sigma_s(&self) -> Result<f64>

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fn get_sigma_r(&self) -> Result<f64>

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fn get_tree_height(&self) -> Result<i32>

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fn get_pca_iterations(&self) -> Result<i32>

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fn get_adjust_outliers(&self) -> Result<bool>

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fn get_use_rng(&self) -> Result<bool>

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impl AlgorithmTrait for AdaptiveManifoldFilter

fn as_raw_mut_Algorithm(&mut self) -> *mut c_void

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &FileNode) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTraitConst for AdaptiveManifoldFilter

fn as_raw_Algorithm(&self) -> *const c_void

fn write(&self, fs: &mut FileStorage) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut FileStorage, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl Boxed for AdaptiveManifoldFilter

unsafe fn from_raw(ptr: *mut c_void) -> Self

Wrap the specified raw pointer

fn into_raw(self) -> *mut c_void

Return an the underlying raw pointer while consuming this wrapper.

fn as_raw(&self) -> *const c_void

Return the underlying raw pointer.

fn as_raw_mut(&mut self) -> *mut c_void

Return the underlying mutable raw pointer

impl Debug for AdaptiveManifoldFilter

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Drop for AdaptiveManifoldFilter

fn drop(&mut self)

Executes the destructor for this type.

impl From<AdaptiveManifoldFilter> for Algorithm

fn from(s: AdaptiveManifoldFilter) -> Self

Converts to this type from the input type.

impl Send for AdaptiveManifoldFilter