Class HarrisLaplaceFeatureDetector

Namespace

OpenCvSharp.XFeatures2D

Assembly

OpenCvSharp.dll

Class implementing the Harris-Laplace feature detector.

public class HarrisLaplaceFeatureDetector : Feature2D, IDisposable

Inheritance

object

CvObject

CvPtrObject

Algorithm

Feature2D

HarrisLaplaceFeatureDetector

Implements

IDisposable

Inherited Members

Feature2D.DescriptorSize

Feature2D.DescriptorType

Feature2D.DefaultNorm

Feature2D.Empty()

Feature2D.Detect(Mat, Mat)

Feature2D.Detect(InputArray, InputArray)

Feature2D.Detect(IEnumerable<Mat>, IEnumerable<Mat>)

Feature2D.Compute(InputArray, ref KeyPoint[], OutputArray)

Feature2D.Compute(IEnumerable<Mat>, ref KeyPoint[][], IEnumerable<Mat>)

Feature2D.DetectAndCompute(InputArray, InputArray, out KeyPoint[], OutputArray, bool)

Feature2D.Write(string)

Feature2D.Read(string)

Feature2D.GetDefaultName()

Algorithm.Write(FileStorage)

Algorithm.Read(FileNode)

Algorithm.Save(string)

CvPtrObject.RawPtr

CvObject.IsDisposed

CvObject.ptr

CvObject.SetSafeHandle(OpenCvSafeHandle)

CvObject.Dispose()

CvObject.Dispose(bool)

CvObject.DisposeManaged()

CvObject.DisposeUnmanaged()

CvObject.ThrowIfDisposed()

CvObject.CvPtr

object.Equals(object)

object.Equals(object, object)

object.GetHashCode()

object.GetType()

object.MemberwiseClone()

object.ReferenceEquals(object, object)

object.ToString()

Properties

CornThresh

The threshold for the Harris cornerness measure.

public float CornThresh { get; set; }

Property Value

float

DOGThresh

The threshold for the Difference-of-Gaussians scale selection.

public float DOGThresh { get; set; }

Property Value

float

MaxCorners

The maximum number of corners to consider.

public int MaxCorners { get; set; }

Property Value

int

NumLayers

The number of intermediate scales per octave.

public int NumLayers { get; set; }

Property Value

int

NumOctaves

The number of octaves in the scale-space pyramid.

public int NumOctaves { get; set; }

Property Value

int

Methods

Create(int, float, float, int, int)

Creates a new implementation instance.

public static HarrisLaplaceFeatureDetector Create(int numOctaves = 6, float cornThresh = 0.01, float dogThresh = 0.01, int maxCorners = 5000, int numLayers = 4)

Parameters

numOctaves int

The number of octaves in the scale-space pyramid.

cornThresh float

The threshold for the Harris cornerness measure.

dogThresh float

The threshold for the Difference-of-Gaussians scale selection.

maxCorners int

The maximum number of corners to consider.

numLayers int

The number of intermediate scales per octave.

Returns

HarrisLaplaceFeatureDetector