Struct GaussianFilter

pub struct GaussianFilter;

Builds a Gaussian kernel taking the covariance as a parameter. Covariance is given as 2 values for the x and y variance.

Trait Implementations

impl Clone for GaussianFilter

fn clone(&self) -> GaussianFilter

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for GaussianFilter

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

Formats the value using the given formatter.

impl Hash for GaussianFilter

fn hash<__H: Hasher>(&self, state: &mut __H)

Feeds this value into the given Hasher.

fn hash_slice<H>(data: &[Self], state: &mut H)

where H: Hasher, Self: Sized,

Feeds a slice of this type into the given Hasher.

impl<T> KernelBuilder<T> for GaussianFilter

where T: Copy + Clone + FromPrimitive + Num,

type Params = [f64; 2]

The parameter for the Gaussian filter is the horizontal and vertical covariances to form the covariance matrix.

[ Params[0], 0]
[ 0, Params[1]]

fn build<D>(shape: D) -> Result<Array3<T>, Error>

where D: Copy + IntoDimension<Dim = Ix3>,

Build a kernel with a given dimension given sensible defaults for any parameters

fn build_with_params<D>( shape: D, covar: Self::Params, ) -> Result<Array3<T>, Error>

where D: Copy + IntoDimension<Dim = Ix3>,

For kernels with optional parameters use build with params otherwise appropriate default parameters will be chosen

impl PartialEq for GaussianFilter

fn eq(&self, other: &GaussianFilter) -> bool

Tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl Copy for GaussianFilter

impl Eq for GaussianFilter

impl StructuralPartialEq for GaussianFilter