Struct opencv::saliency::StaticSaliencySpectralResidual
source · pub struct StaticSaliencySpectralResidual { /* private fields */ }
Expand description
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§
source§impl StaticSaliencySpectralResidual
impl StaticSaliencySpectralResidual
pub fn default() -> Result<StaticSaliencySpectralResidual>
pub fn create() -> Result<Ptr<StaticSaliencySpectralResidual>>
Trait Implementations§
source§impl AlgorithmTraitConst for StaticSaliencySpectralResidual
impl AlgorithmTraitConst for StaticSaliencySpectralResidual
fn as_raw_Algorithm(&self) -> *const c_void
source§fn write(&self, fs: &mut FileStorage) -> Result<()>
fn write(&self, fs: &mut FileStorage) -> Result<()>
Stores algorithm parameters in a file storage
source§fn write_1(&self, fs: &mut FileStorage, name: &str) -> Result<()>
fn write_1(&self, fs: &mut FileStorage, name: &str) -> Result<()>
Stores algorithm parameters in a file storage Read more
source§fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>
fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>
@deprecated Read more
source§fn empty(&self) -> Result<bool>
fn empty(&self) -> Result<bool>
Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read
source§fn save(&self, filename: &str) -> Result<()>
fn save(&self, filename: &str) -> Result<()>
Saves the algorithm to a file.
In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).
source§fn get_default_name(&self) -> Result<String>
fn get_default_name(&self) -> Result<String>
Returns the algorithm string identifier.
This string is used as top level xml/yml node tag when the object is saved to a file or string.
source§impl Boxed for StaticSaliencySpectralResidual
impl Boxed for StaticSaliencySpectralResidual
source§impl From<StaticSaliencySpectralResidual> for Algorithm
impl From<StaticSaliencySpectralResidual> for Algorithm
source§fn from(s: StaticSaliencySpectralResidual) -> Self
fn from(s: StaticSaliencySpectralResidual) -> Self
Converts to this type from the input type.
source§impl Saliency for StaticSaliencySpectralResidual
impl Saliency for StaticSaliencySpectralResidual
fn as_raw_mut_Saliency(&mut self) -> *mut c_void
source§fn compute_saliency(
&mut self,
image: &dyn ToInputArray,
saliency_map: &mut dyn ToOutputArray
) -> Result<bool>
fn compute_saliency( &mut self, image: &dyn ToInputArray, saliency_map: &mut dyn ToOutputArray ) -> Result<bool>
\brief Compute the saliency
\param image The image.
\param saliencyMap The computed saliency map.
\return true if the saliency map is computed, false otherwise
source§impl SaliencyConst for StaticSaliencySpectralResidual
impl SaliencyConst for StaticSaliencySpectralResidual
fn as_raw_Saliency(&self) -> *const c_void
source§impl StaticSaliency for StaticSaliencySpectralResidual
impl StaticSaliency for StaticSaliencySpectralResidual
fn as_raw_mut_StaticSaliency(&mut self) -> *mut c_void
source§fn compute_binary_map(
&mut self,
_saliency_map: &dyn ToInputArray,
_binary_map: &mut dyn ToOutputArray
) -> Result<bool>
fn compute_binary_map( &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: Read more