C# Class Emgu.CV.Features2D.LDetector

Show file Open project: fajoy/RTSPExample Class Usage Examples

Public Properties

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

Public Methods

Method 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 method

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
return Emgu.CV.Structure.MKeyPoint[]

DetectKeyPointsRaw() public method

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
return Emgu.CV.Util.VectorOfKeyPoint

DetectKeyPointsRaw() public method

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
return VectorOfKeyPoint

Init() public method

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

Property Details

BaseFeatureSize public property

Base feature size
public double BaseFeatureSize
return double

ClusteringDistance public property

Clustering Distance
public double ClusteringDistance
return double

NOctaves public property

Number of Octaves
public int NOctaves
return int

NViews public property

Number of views
public int NViews
return int

Radius public property

Radius
public int Radius
return int

Threshold public property

Threshold
public int Threshold
return int