Trait opencv::prelude::StaticSaliencyTrait

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pub trait StaticSaliencyTrait: SaliencyTrait + StaticSaliencyTraitConst {
    // Required method
    fn as_raw_mut_StaticSaliency(&mut self) -> *mut c_void;

    // Provided method
    fn compute_binary_map(
        &mut self,
        _saliency_map: &impl ToInputArray,
        _binary_map: &mut impl ToOutputArray,
    ) -> Result<bool> { ... }
}
Expand description

Mutable methods for crate::saliency::StaticSaliency

Required Methods§

source

fn as_raw_mut_StaticSaliency(&mut self) -> *mut c_void

Provided Methods§

source

fn compute_binary_map( &mut self, _saliency_map: &impl ToInputArray, _binary_map: &mut impl ToOutputArray, ) -> Result<bool>

This function perform a binary map of given saliency map. This is obtained in this way:

In a first step, to improve the definition of interest areas and facilitate identification of targets, a segmentation by clustering is performed, using K-means algorithm. Then, to gain a binary representation of clustered saliency map, since values of the map can vary according to the characteristics of frame under analysis, it is not convenient to use a fixed threshold. So, Otsu’s algorithm is used, which assumes that the image to be thresholded contains two classes of pixels or bi-modal histograms (e.g. foreground and back-ground pixels); later on, the algorithm calculates the optimal threshold separating those two classes, so that their intra-class variance is minimal.

§Parameters
  • _saliencyMap: the saliency map obtained through one of the specialized algorithms
  • _binaryMap: the binary map

Object Safety§

This trait is not object safe.

Implementors§