C# Class Emgu.CV.Features2D.LDetector

显示文件 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_oe property

Base feature size
public double BaseFeatureSize
return double

ClusteringDistance public_oe property

Clustering Distance
public double ClusteringDistance
return double

NOctaves public_oe property

Number of Octaves
public int NOctaves
return int

NViews public_oe property

Number of views
public int NViews
return int

Radius public_oe property

Radius
public int Radius
return int

Threshold public_oe property

Threshold
public int Threshold
return int