Trait ThresholdMeanExt

pub trait ThresholdMeanExt<T> {
    type Output;

    // Required method
    fn threshold_mean(&self) -> Result<Self::Output, Error>;
}

Runs the Mean thresholding algorithm on a type T.

Required Associated Types

type Output

The Mean thresholding output is a binary image.

Required Methods

fn threshold_mean(&self) -> Result<Self::Output, Error>

Run the Mean threshold algorithm.

This assumes the image is a single channel image, i.e., a greyscale image; otherwise, an error is returned.

Errors

Returns a ChannelDimensionMismatch error if more than one channel exists.

Implementations on Foreign Types

impl<T, U> ThresholdMeanExt<T> for ArrayBase<U, Ix3>

where U: Data<Elem = T>, T: Copy + Clone + Ord + Num + NumAssignOps + ToPrimitive + FromPrimitive,

type Output = ArrayBase<OwnedRepr<bool>, Dim<[usize; 3]>>

fn threshold_mean(&self) -> Result<Self::Output, Error>

Implementors

impl<T, U, C> ThresholdMeanExt<T> for ImageBase<U, C>

where U: Data<Elem = T>, Image<U, C>: Clone, T: Copy + Clone + Ord + Num + NumAssignOps + ToPrimitive + FromPrimitive + PixelBound, C: ColourModel,

type Output = ImageBase<OwnedRepr<bool>, C>