xfeatures2d_PCTSignatures_create

xfeatures2dfunctionOpenCV 5.0.0

import { xfeatures2d_PCTSignatures_create } from '@banou/opencv-wasm'

Use after await initOpenCV(). See the initialization and named imports guide.

ARGUMENTSinitSamplingPoints, initSeedCount, initSampleCount, pointDistribution

FUNCTIONxfeatures2d_PCTSignatures_create

RETURN TYPExfeatures2d_PCTSignatures | null

Call structure. A void return can still write to destination arguments. The parameter descriptions define inputs, outputs and ownership.

Creates PCTSignatures algorithm using pre-generated sampling points and number of clusterization seeds. It uses the provided sampling points and generates its own clusterization seed indexes.

xfeatures2d_PCTSignatures_create(initSampleCount: number, initSeedCount: number, pointDistribution: number): xfeatures2d_PCTSignatures | null;

4 available overloads

xfeatures2d_PCTSignatures_create(): xfeatures2d_PCTSignatures | null;

xfeatures2d_PCTSignatures_create(initSamplingPoints: number): xfeatures2d_PCTSignatures | null;

xfeatures2d_PCTSignatures_create(initSamplingPoints: number, initSeedCount: number): xfeatures2d_PCTSignatures | null;

xfeatures2d_PCTSignatures_create(initSampleCount: number, initSeedCount: number, pointDistribution: number): xfeatures2d_PCTSignatures | null;

initSamplingPoints: Sampling points used in image sampling.
initSeedCount: Number of initial clusterization seeds. Must be lower or equal to initSamplingPoints.size().
initSampleCount: Number of points used for image sampling.
pointDistribution: Distribution of generated points. Default: UNIFORM. Available: UNIFORM, REGULAR, NORMAL.

Returns

Created algorithm.

Upstream declaration ↗Upstream declaration 2 ↗

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