[−][src]Trait opencv::xfeatures2d::PCTSignatures

pub trait PCTSignatures: AlgorithmTrait {
    pub fn as_raw_PCTSignatures(&self) -> *const c_void;
    pub fn as_raw_mut_PCTSignatures(&mut self) -> *mut c_void;

    pub fn compute_signature(
        &self, 
        image: &dyn ToInputArray, 
        signature: &mut dyn ToOutputArray
    ) -> Result<()> { ... }
    pub fn compute_signatures(
        &self, 
        images: &Vector<Mat>, 
        signatures: &mut Vector<Mat>
    ) -> Result<()> { ... }
    pub fn get_sample_count(&self) -> Result<i32> { ... }
    pub fn get_grayscale_bits(&self) -> Result<i32> { ... }
    pub fn set_grayscale_bits(&mut self, grayscale_bits: i32) -> Result<()> { ... }
    pub fn get_window_radius(&self) -> Result<i32> { ... }
    pub fn set_window_radius(&mut self, radius: i32) -> Result<()> { ... }
    pub fn get_weight_x(&self) -> Result<f32> { ... }
    pub fn set_weight_x(&mut self, weight: f32) -> Result<()> { ... }
    pub fn get_weight_y(&self) -> Result<f32> { ... }
    pub fn set_weight_y(&mut self, weight: f32) -> Result<()> { ... }
    pub fn get_weight_l(&self) -> Result<f32> { ... }
    pub fn set_weight_l(&mut self, weight: f32) -> Result<()> { ... }
    pub fn get_weight_a(&self) -> Result<f32> { ... }
    pub fn set_weight_a(&mut self, weight: f32) -> Result<()> { ... }
    pub fn get_weight_b(&self) -> Result<f32> { ... }
    pub fn set_weight_b(&mut self, weight: f32) -> Result<()> { ... }
    pub fn get_weight_contrast(&self) -> Result<f32> { ... }
    pub fn set_weight_contrast(&mut self, weight: f32) -> Result<()> { ... }
    pub fn get_weight_entropy(&self) -> Result<f32> { ... }
    pub fn set_weight_entropy(&mut self, weight: f32) -> Result<()> { ... }
    pub fn get_sampling_points(&self) -> Result<Vector<Point2f>> { ... }
    pub fn set_weight(&mut self, idx: i32, value: f32) -> Result<()> { ... }
    pub fn set_weights(&mut self, weights: &Vector<f32>) -> Result<()> { ... }
    pub fn set_translation(&mut self, idx: i32, value: f32) -> Result<()> { ... }
    pub fn set_translations(&mut self, translations: &Vector<f32>) -> Result<()> { ... }
    pub fn set_sampling_points(
        &mut self, 
        sampling_points: Vector<Point2f>
    ) -> Result<()> { ... }
    pub fn get_init_seed_indexes(&self) -> Result<Vector<i32>> { ... }
    pub fn set_init_seed_indexes(
        &mut self, 
        init_seed_indexes: Vector<i32>
    ) -> Result<()> { ... }
    pub fn get_init_seed_count(&self) -> Result<i32> { ... }
    pub fn get_iteration_count(&self) -> Result<i32> { ... }
    pub fn set_iteration_count(&mut self, iteration_count: i32) -> Result<()> { ... }
    pub fn get_max_clusters_count(&self) -> Result<i32> { ... }
    pub fn set_max_clusters_count(
        &mut self, 
        max_clusters_count: i32
    ) -> Result<()> { ... }
    pub fn get_cluster_min_size(&self) -> Result<i32> { ... }
    pub fn set_cluster_min_size(&mut self, cluster_min_size: i32) -> Result<()> { ... }
    pub fn get_joining_distance(&self) -> Result<f32> { ... }
    pub fn set_joining_distance(&mut self, joining_distance: f32) -> Result<()> { ... }
    pub fn get_drop_threshold(&self) -> Result<f32> { ... }
    pub fn set_drop_threshold(&mut self, drop_threshold: f32) -> Result<()> { ... }
    pub fn get_distance_function(&self) -> Result<i32> { ... }
    pub fn set_distance_function(
        &mut self, 
        distance_function: i32
    ) -> Result<()> { ... }
}

Class implementing PCT (position-color-texture) signature extraction as described in KrulisLS16. The algorithm is divided to a feature sampler and a clusterizer. Feature sampler produces samples at given set of coordinates. Clusterizer then produces clusters of these samples using k-means algorithm. Resulting set of clusters is the signature of the input image.

  A signature is an array of SIGNATURE_DIMENSION-dimensional points.
  Used dimensions are:
  weight, x, y position; lab color, contrast, entropy.

KrulisLS16 BeecksUS10

Required methods

`pub fn as_raw_PCTSignatures(&self) -> *const c_void`[src]

`pub fn as_raw_mut_PCTSignatures(&mut self) -> *mut c_void`[src]

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Provided methods

`pub fn compute_signature( &self, image: &dyn ToInputArray, signature: &mut dyn ToOutputArray ) -> Result<()>`[src]

Computes signature of given image.

Parameters

image: Input image of CV_8U type.
signature: Output computed signature.

`pub fn compute_signatures( &self, images: &Vector<Mat>, signatures: &mut Vector<Mat> ) -> Result<()>`[src]

Computes signatures for multiple images in parallel.

Parameters

images: Vector of input images of CV_8U type.
signatures: Vector of computed signatures.

`pub fn get_sample_count(&self) -> Result<i32>`[src]

Number of initial samples taken from the image.

`pub fn get_grayscale_bits(&self) -> Result<i32>`[src]

Color resolution of the greyscale bitmap represented in allocated bits (i.e., value 4 means that 16 shades of grey are used). The greyscale bitmap is used for computing contrast and entropy values.

`pub fn set_grayscale_bits(&mut self, grayscale_bits: i32) -> Result<()>`[src]

Color resolution of the greyscale bitmap represented in allocated bits (i.e., value 4 means that 16 shades of grey are used). The greyscale bitmap is used for computing contrast and entropy values.

`pub fn get_window_radius(&self) -> Result<i32>`[src]

Size of the texture sampling window used to compute contrast and entropy (center of the window is always in the pixel selected by x,y coordinates of the corresponding feature sample).

`pub fn set_window_radius(&mut self, radius: i32) -> Result<()>`[src]

Size of the texture sampling window used to compute contrast and entropy (center of the window is always in the pixel selected by x,y coordinates of the corresponding feature sample).