Trait palette::color_difference::EuclideanDistance

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pub trait EuclideanDistance: Sized {
    type Scalar;

    // Required method
    fn distance_squared(self, other: Self) -> Self::Scalar;

    // Provided method
    fn distance(self, other: Self) -> Self::Scalar
       where Self::Scalar: Sqrt { ... }
}
Expand description

Calculate the distance between two colors as if they were coordinates in Euclidean space.

Euclidean distance is not always a good measurement of visual color difference, depending on the color space. Some spaces, like Lab and Oklab, will give a fairly uniform result, while other spaces, such as Rgb, will give much less uniform results. Despite that, it’s still appropriate for some applications.

Required Associated Types§

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type Scalar

The type for the distance value.

Required Methods§

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fn distance_squared(self, other: Self) -> Self::Scalar

Calculate the squared Euclidean distance from self to other.

This is typically a faster option than Self::distance for some cases, such as when comparing two distances.

Provided Methods§

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fn distance(self, other: Self) -> Self::Scalar
where Self::Scalar: Sqrt,

Calculate the Euclidean distance from self to other.

Object Safety§

This trait is not object safe.

Implementors§

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impl<S, T> EuclideanDistance for Luma<S, T>
where T: Real + Sub<T, Output = T> + Add<T, Output = T> + Mul<T, Output = T> + Clone,

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impl<S, T> EuclideanDistance for Rgb<S, T>
where T: Real + Sub<T, Output = T> + Add<T, Output = T> + Mul<T, Output = T> + Clone,

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impl<T> EuclideanDistance for Cam16UcsJab<T>
where T: Real + Sub<T, Output = T> + Add<T, Output = T> + Mul<T, Output = T> + Clone,

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impl<T> EuclideanDistance for Oklab<T>
where T: Real + Sub<T, Output = T> + Add<T, Output = T> + Mul<T, Output = T> + Clone,

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impl<Wp, T> EuclideanDistance for Lab<Wp, T>
where T: Real + Sub<T, Output = T> + Add<T, Output = T> + Mul<T, Output = T> + Clone,

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impl<Wp, T> EuclideanDistance for Luv<Wp, T>
where T: Real + Sub<T, Output = T> + Add<T, Output = T> + Mul<T, Output = T> + Clone,

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impl<Wp, T> EuclideanDistance for Xyz<Wp, T>
where T: Real + Sub<T, Output = T> + Add<T, Output = T> + Mul<T, Output = T> + Clone,

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impl<Wp, T> EuclideanDistance for Yxy<Wp, T>
where T: Real + Sub<T, Output = T> + Add<T, Output = T> + Mul<T, Output = T> + Clone,