Trait PCTSignaturesTraitConst

pub trait PCTSignaturesTraitConst: AlgorithmTraitConst {
    // Required method
    fn as_raw_PCTSignatures(&self) -> *const c_void;

    // Provided methods
    fn compute_signature(
        &self,
        image: &impl ToInputArray,
        signature: &mut impl ToOutputArray,
    ) -> Result<()> { ... }
    fn compute_signatures(
        &self,
        images: &Vector<Mat>,
        signatures: &mut Vector<Mat>,
    ) -> Result<()> { ... }
    fn get_sample_count(&self) -> Result<i32> { ... }
    fn get_grayscale_bits(&self) -> Result<i32> { ... }
    fn get_window_radius(&self) -> Result<i32> { ... }
    fn get_weight_x(&self) -> Result<f32> { ... }
    fn get_weight_y(&self) -> Result<f32> { ... }
    fn get_weight_l(&self) -> Result<f32> { ... }
    fn get_weight_a(&self) -> Result<f32> { ... }
    fn get_weight_b(&self) -> Result<f32> { ... }
    fn get_weight_contrast(&self) -> Result<f32> { ... }
    fn get_weight_entropy(&self) -> Result<f32> { ... }
    fn get_sampling_points(&self) -> Result<Vector<Point2f>> { ... }
    fn get_init_seed_indexes(&self) -> Result<Vector<i32>> { ... }
    fn get_init_seed_count(&self) -> Result<i32> { ... }
    fn get_iteration_count(&self) -> Result<i32> { ... }
    fn get_max_clusters_count(&self) -> Result<i32> { ... }
    fn get_cluster_min_size(&self) -> Result<i32> { ... }
    fn get_joining_distance(&self) -> Result<f32> { ... }
    fn get_drop_threshold(&self) -> Result<f32> { ... }
    fn get_distance_function(&self) -> Result<i32> { ... }
}

Constant methods for crate::xfeatures2d::PCTSignatures

Required Methods

fn as_raw_PCTSignatures(&self) -> *const c_void

Provided Methods

fn compute_signature( &self, image: &impl ToInputArray, signature: &mut impl ToOutputArray, ) -> Result<()>

Computes signature of given image.

Parameters

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

fn compute_signatures( &self, images: &Vector<Mat>, signatures: &mut Vector<Mat>, ) -> Result<()>

Computes signatures for multiple images in parallel.

Parameters

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

fn get_sample_count(&self) -> Result<i32>

Number of initial samples taken from the image.

fn get_grayscale_bits(&self) -> Result<i32>

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.

fn get_window_radius(&self) -> Result<i32>

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).

fn get_weight_x(&self) -> Result<f32>

Weights (multiplicative constants) that linearly stretch individual axes of the feature space (x,y = position; L,a,b = color in CIE Lab space; c = contrast. e = entropy)

fn get_weight_y(&self) -> Result<f32>

Weights (multiplicative constants) that linearly stretch individual axes of the feature space (x,y = position; L,a,b = color in CIE Lab space; c = contrast. e = entropy)

fn get_weight_l(&self) -> Result<f32>

Weights (multiplicative constants) that linearly stretch individual axes of the feature space (x,y = position; L,a,b = color in CIE Lab space; c = contrast. e = entropy)

fn get_weight_a(&self) -> Result<f32>

Weights (multiplicative constants) that linearly stretch individual axes of the feature space (x,y = position; L,a,b = color in CIE Lab space; c = contrast. e = entropy)

fn get_weight_b(&self) -> Result<f32>

Weights (multiplicative constants) that linearly stretch individual axes of the feature space (x,y = position; L,a,b = color in CIE Lab space; c = contrast. e = entropy)

fn get_weight_contrast(&self) -> Result<f32>

Weights (multiplicative constants) that linearly stretch individual axes of the feature space (x,y = position; L,a,b = color in CIE Lab space; c = contrast. e = entropy)

fn get_weight_entropy(&self) -> Result<f32>

Weights (multiplicative constants) that linearly stretch individual axes of the feature space (x,y = position; L,a,b = color in CIE Lab space; c = contrast. e = entropy)

fn get_sampling_points(&self) -> Result<Vector<Point2f>>

Initial samples taken from the image. These sampled features become the input for clustering.

fn get_init_seed_indexes(&self) -> Result<Vector<i32>>

** clusterizer ***

• Initial seeds (initial number of clusters) for the k-means algorithm.

fn get_init_seed_count(&self) -> Result<i32>

Number of initial seeds (initial number of clusters) for the k-means algorithm.

fn get_iteration_count(&self) -> Result<i32>

Number of iterations of the k-means clustering. We use fixed number of iterations, since the modified clustering is pruning clusters (not iteratively refining k clusters).

fn get_max_clusters_count(&self) -> Result<i32>

Maximal number of generated clusters. If the number is exceeded, the clusters are sorted by their weights and the smallest clusters are cropped.

fn get_cluster_min_size(&self) -> Result<i32>

This parameter multiplied by the index of iteration gives lower limit for cluster size. Clusters containing fewer points than specified by the limit have their centroid dismissed and points are reassigned.

fn get_joining_distance(&self) -> Result<f32>

Threshold euclidean distance between two centroids. If two cluster centers are closer than this distance, one of the centroid is dismissed and points are reassigned.

fn get_drop_threshold(&self) -> Result<f32>

Remove centroids in k-means whose weight is lesser or equal to given threshold.

fn get_distance_function(&self) -> Result<i32>

Distance function selector used for measuring distance between two points in k-means.

Dyn Compatibility

This trait is not dyn compatible.

In older versions of Rust, dyn compatibility was called "object safety", so this trait is not object safe.

Implementors

impl PCTSignaturesTraitConst for BoxedRef<'_, PCTSignatures>

impl PCTSignaturesTraitConst for BoxedRefMut<'_, PCTSignatures>

impl PCTSignaturesTraitConst for Ptr<PCTSignatures>

impl PCTSignaturesTraitConst for PCTSignatures