Enum Norm 

pub enum Norm {
    L1,
    L2,
    LInf,
}

How to measure distance between coordinates. See distance_transform for examples.

Variants

L1

d((x1, y1), (x2, y2)) = abs(x1 - x2) + abs(y1 - y2)

Also known as the Manhattan or city block norm.

L2

d((x1, y1), (x2, y2)) = sqrt((x1 - x2)^2 + (y1 - y2)^2)

Also known as the Euclidean norm.

Note that both distance_transform and the functions in the morphology module represent distances as integer values, so cannot accurately represent L2 norms. Instead, these functions approximate the L2 norm by taking the ceiling of the true value. If you want accurate distances then use euclidean_squared_distance_transform instead, which returns floating point values.

LInf

d((x1, y1), (x2, y2)) = max(abs(x1 - x2), abs(y1 - y2))

Also known as the chessboard norm.

Trait Implementations

impl Clone for Norm

fn clone(&self) -> Norm

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for Norm

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

Formats the value using the given formatter.

impl PartialEq for Norm

fn eq(&self, other: &Norm) -> 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 Norm

impl Eq for Norm

impl StructuralPartialEq for Norm