[−][src]Trait opencv::prelude::StaticSaliency
********************************* Static Saliency Base Class ***********************************
Required methods
pub fn as_raw_StaticSaliency(&self) -> *const c_void
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pub fn as_raw_mut_StaticSaliency(&mut self) -> *mut c_void
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Provided methods
pub fn compute_binary_map(
&mut self,
_saliency_map: &dyn ToInputArray,
_binary_map: &mut dyn ToOutputArray
) -> Result<bool>
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&mut self,
_saliency_map: &dyn ToInputArray,
_binary_map: &mut dyn 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