Trait ndarray_vision::processing::canny::CannyEdgeDetectorExt

pub trait CannyEdgeDetectorExt<T> {
    type Output;
    fn canny_edge_detector(
        &self, 
        params: CannyParameters<T>
    ) -> Result<Self::Output, Error>;
}

Runs the Canny Edge Detector algorithm on a type T

Associated Types

type Output

Output type, this is different as canny outputs a binary image

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Required methods

fn canny_edge_detector(
    &self,
    params: CannyParameters<T>
) -> Result<Self::Output, Error>

Run the edge detection algorithm with the given parameters. Due to Canny being specified as working on greyscale images all current implementations assume a single channel image returning an error otherwise.

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Implementations on Foreign Types

impl<T> CannyEdgeDetectorExt<T> for Array3<T> where
    T: Copy + Clone + FromPrimitive + Real + Num + NumAssignOps, 

type Output = Array3<bool>

fn canny_edge_detector(
    &self,
    params: CannyParameters<T>
) -> Result<Self::Output, Error>

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Implementors

impl<T, C> CannyEdgeDetectorExt<T> for Image<T, C> where
    T: Copy + Clone + FromPrimitive + Real + Num + NumAssignOps,
    C: ColourModel, 

type Output = Image<bool, C>

fn canny_edge_detector(
    &self,
    params: CannyParameters<T>
) -> Result<Self::Output, Error>

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