[][src]Struct opencv::saliency::StaticSaliencySpectralResidual

pub struct StaticSaliencySpectralResidual { /* fields omitted */ }

the Spectral Residual approach from SR

Starting from the principle of natural image statistics, this method simulate the behavior of pre-attentive visual search. The algorithm analyze the log spectrum of each image and obtain the spectral residual. Then transform the spectral residual to spatial domain to obtain the saliency map, which suggests the positions of proto-objects.

Implementations

impl StaticSaliencySpectralResidual[src]

impl StaticSaliencySpectralResidual[src]

Trait Implementations

impl AlgorithmTrait for StaticSaliencySpectralResidual[src]

impl Boxed for StaticSaliencySpectralResidual[src]

impl Drop for StaticSaliencySpectralResidual[src]

impl Saliency for StaticSaliencySpectralResidual[src]

impl Send for StaticSaliencySpectralResidual[src]

impl StaticSaliency for StaticSaliencySpectralResidual[src]

impl StaticSaliencySpectralResidualTrait for StaticSaliencySpectralResidual[src]

Auto Trait Implementations

Blanket Implementations

impl<T> Any for T where
    T: 'static + ?Sized
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impl<T> Borrow<T> for T where
    T: ?Sized
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impl<T> BorrowMut<T> for T where
    T: ?Sized
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impl<T> From<T> for T[src]

impl<T, U> Into<U> for T where
    U: From<T>, 
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impl<T, U> TryFrom<U> for T where
    U: Into<T>, 
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type Error = Infallible

The type returned in the event of a conversion error.

impl<T, U> TryInto<U> for T where
    U: TryFrom<T>, 
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type Error = <U as TryFrom<T>>::Error

The type returned in the event of a conversion error.