C# Class Emgu.CV.Features2D.SurfDetector

Afficher le fichier Open project: genecyber/PredatorCV Class Usage Examples

Méthodes publiques

Свойство Type Description
extended int
hessianThreshold double
nOctaveLayers int
nOctaves int

Méthodes publiques

Méthode Description
ComputeDescriptors ( Byte>.Image image, byte>.Image mask, MKeyPoint keyPoints ) : Emgu.CV.Features2D.ImageFeature[]

Compute the descriptor given the image and the point location
ComputeDescriptors ( byte>.Image image, MKeyPoint keyPoints ) : Emgu.CV.Features2D.ImageFeature[]

Compute the ImageFeature on the image from the given keypoint locations.
DetectFeatures ( Byte>.Image image, byte>.Image mask ) : Emgu.CV.Features2D.ImageFeature[]

Detect image features from the given image
DetectKeyPoints ( Byte>.Image image, byte>.Image mask ) : Emgu.CV.Structure.MKeyPoint[]

Detect the SURF keypoints from the image
DetectKeyPoints ( byte>.Image image ) : Emgu.CV.Structure.MKeyPoint[]

Detect the keypoints in the image
SurfDetector ( double hessianThresh, bool extendedFlag ) : System

Create a MCvSURFParams using the specific values

Private Methods

Méthode Description
CvSURFDetectorComputeDescriptors ( SurfDetector &detector, IntPtr image, IntPtr mask, IntPtr keypoints, IntPtr descriptors ) : void
CvSURFDetectorDetectFeature ( SurfDetector &detector, IntPtr image, IntPtr mask, IntPtr keypoints, IntPtr descriptors ) : void
CvSURFDetectorDetectKeyPoints ( SurfDetector &detector, IntPtr image, IntPtr mask, IntPtr keypoints ) : void

Method Details

ComputeDescriptors() public méthode

Compute the descriptor given the image and the point location
public ComputeDescriptors ( Byte>.Image image, byte>.Image mask, MKeyPoint keyPoints ) : Emgu.CV.Features2D.ImageFeature[]
image Byte>.Image The image where the descriptor will be computed from
mask byte>.Image The optional mask, can be null if not needed
keyPoints Emgu.CV.Structure.MKeyPoint The keypoint where the descriptor will be computed from
Résultat Emgu.CV.Features2D.ImageFeature[]

ComputeDescriptors() public méthode

Compute the ImageFeature on the image from the given keypoint locations.
public ComputeDescriptors ( byte>.Image image, MKeyPoint keyPoints ) : Emgu.CV.Features2D.ImageFeature[]
image byte>.Image The image to compute descriptors from
keyPoints Emgu.CV.Structure.MKeyPoint The keypoints where the descriptor computation is perfromed
Résultat Emgu.CV.Features2D.ImageFeature[]

DetectFeatures() public méthode

Detect image features from the given image
public DetectFeatures ( Byte>.Image image, byte>.Image mask ) : Emgu.CV.Features2D.ImageFeature[]
image Byte>.Image The image to detect features from
mask byte>.Image The optional mask, can be null if not needed
Résultat Emgu.CV.Features2D.ImageFeature[]

DetectKeyPoints() public méthode

Detect the SURF keypoints from the image
public DetectKeyPoints ( Byte>.Image image, byte>.Image mask ) : Emgu.CV.Structure.MKeyPoint[]
image Byte>.Image The image to extract SURF features from
mask byte>.Image The optional mask, can be null if not needed
Résultat Emgu.CV.Structure.MKeyPoint[]

DetectKeyPoints() public méthode

Detect the keypoints in the image
public DetectKeyPoints ( byte>.Image image ) : Emgu.CV.Structure.MKeyPoint[]
image byte>.Image The image from which the key point will be detected from
Résultat Emgu.CV.Structure.MKeyPoint[]

SurfDetector() public méthode

Create a MCvSURFParams using the specific values
public SurfDetector ( double hessianThresh, bool extendedFlag ) : System
hessianThresh double /// Only features with keypoint.hessian larger than that are extracted. /// good default value is ~300-500 (can depend on the average local contrast and sharpness of the image). /// user can further filter out some features based on their hessian values and other characteristics ///
extendedFlag bool /// false means basic descriptors (64 elements each), /// true means extended descriptors (128 elements each) ///
Résultat System

Property Details

extended public_oe property

0 means basic descriptors (64 elements each), 1 means extended descriptors (128 elements each)
public int extended
Résultat int

hessianThreshold public_oe property

Only features with keypoint.hessian larger than that are extracted. good default value is ~300-500 (can depend on the average local contrast and sharpness of the image). user can further filter out some features based on their hessian values and other characteristics
public double hessianThreshold
Résultat double

nOctaveLayers public_oe property

The number of layers within each octave (4 by default)
public int nOctaveLayers
Résultat int

nOctaves public_oe property

The number of octaves to be used for extraction. With each next octave the feature size is doubled (3 by default)
public int nOctaves
Résultat int