C# Class Emgu.CV.Features2D.DenseFeatureDetector

Class for generation of image features which are distributed densely and regularly over the image.
Inheritance: Emgu.Util.UnmanagedObject, IKeyPointDetector
Afficher le fichier Open project: fajoy/RTSPExample

Private Properties

Свойство Type Description

Méthodes publiques

Méthode Description
DenseFeatureDetector ( float initFeatureScale, int featureScaleLevels, float featureScaleMul, int initXyStep, int initImgBound, bool varyXyStepWithScale, bool varyImgBoundWithScale ) : System

Create a dense feature detector.

Méthodes protégées

Méthode Description
DisposeObject ( ) : void

Release the unmanaged memory associated with this detector.

Method Details

DenseFeatureDetector() public méthode

Create a dense feature detector.
public DenseFeatureDetector ( float initFeatureScale, int featureScaleLevels, float featureScaleMul, int initXyStep, int initImgBound, bool varyXyStepWithScale, bool varyImgBoundWithScale ) : System
initFeatureScale float Initial feature scale. Use 1.0 for default.
featureScaleLevels int The number of scale levels. Use 1 for default
featureScaleMul float /// The level parameters (a feature scale, a node size, a size of boundary) are multiplied by with level index /// growing depending on input flags. Use 0.1f for default. ///
initXyStep int Initial X Y steps. Use 6 for default.
initImgBound int Initial image boundary. Use 0 for default.
varyXyStepWithScale bool The grid node size is multiplied if varyXyStepWithScale is true. Use true for default.
varyImgBoundWithScale bool Size of image boundary is multiplied if varyImgBoundWithScale is true. Use false for default.
Résultat System

DisposeObject() protected méthode

Release the unmanaged memory associated with this detector.
protected DisposeObject ( ) : void
Résultat void