C# Класс Emgu.CV.Features2D.SurfDetector

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Открытые свойства

Свойство	Тип	Описание
extended	int
hessianThreshold	double
nOctaveLayers	int
nOctaves	int

Открытые методы

Метод	Описание
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

Приватные методы

Метод	Описание
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

Описание методов

ComputeDescriptors() публичный Метод

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
Результат	Emgu.CV.Features2D.ImageFeature[]

ComputeDescriptors() публичный Метод

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
Результат	Emgu.CV.Features2D.ImageFeature[]

DetectFeatures() публичный Метод

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
Результат	Emgu.CV.Features2D.ImageFeature[]

DetectKeyPoints() публичный Метод

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
Результат	Emgu.CV.Structure.MKeyPoint[]

DetectKeyPoints() публичный Метод

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
Результат	Emgu.CV.Structure.MKeyPoint[]

SurfDetector() публичный Метод

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) ///
Результат	System

Описание свойств

extended публичное свойство

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

public int extended
Результат	int

hessianThreshold публичное свойство

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
Результат	double

nOctaveLayers публичное свойство

The number of layers within each octave (4 by default)

public int nOctaveLayers
Результат	int

nOctaves публичное свойство

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

public int nOctaves
Результат	int