C# Class Emgu.CV.Features2D.LDetector

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Méthodes publiques

Свойство Type Description
BaseFeatureSize double
ClusteringDistance double
NOctaves int
NViews int
Radius int
Threshold int

Méthodes publiques

Méthode Description
DetectKeyPoints ( Byte>.Image image, int maxCount, bool scaleCoords ) : Emgu.CV.Structure.MKeyPoint[]

Detect the Lepetit keypoints from the image
DetectKeyPointsRaw ( Byte>.Image image, int maxCount, bool scaleCoords ) : VectorOfKeyPoint

Detect the Lepetit keypoints from the image
DetectKeyPointsRaw ( byte>.Image image ) : VectorOfKeyPoint

Detect the keypoints in the image
Init ( ) : void

Set the parameters to default value

Method Details

DetectKeyPoints() public méthode

Detect the Lepetit keypoints from the image
public DetectKeyPoints ( Byte>.Image image, int maxCount, bool scaleCoords ) : Emgu.CV.Structure.MKeyPoint[]
image Byte>.Image The image to extract Lepetit keypoints
maxCount int The maximum number of keypoints to be extracted, use 0 to ignore the max count
scaleCoords bool Indicates if the coordinates should be scaled
Résultat Emgu.CV.Structure.MKeyPoint[]

DetectKeyPointsRaw() public méthode

Detect the Lepetit keypoints from the image
public DetectKeyPointsRaw ( Byte>.Image image, int maxCount, bool scaleCoords ) : VectorOfKeyPoint
image Byte>.Image The image to extract Lepetit keypoints
maxCount int The maximum number of keypoints to be extracted, use 0 to ignore the max count
scaleCoords bool Indicates if the coordinates should be scaled
Résultat Emgu.CV.Util.VectorOfKeyPoint

DetectKeyPointsRaw() public méthode

Detect the keypoints in the image
public DetectKeyPointsRaw ( byte>.Image image ) : VectorOfKeyPoint
image byte>.Image The image from which the key point will be detected from
Résultat VectorOfKeyPoint

Init() public méthode

Set the parameters to default value
public Init ( ) : void
Résultat void

Property Details

BaseFeatureSize public_oe property

Base feature size
public double BaseFeatureSize
Résultat double

ClusteringDistance public_oe property

Clustering Distance
public double ClusteringDistance
Résultat double

NOctaves public_oe property

Number of Octaves
public int NOctaves
Résultat int

NViews public_oe property

Number of views
public int NViews
Résultat int

Radius public_oe property

Radius
public int Radius
Résultat int

Threshold public_oe property

Threshold
public int Threshold
Résultat int