Class ConvolutionKernelF

Namespace

Emgu.CV

Assembly

Emgu.CV.dll

A convolution kernel

public class ConvolutionKernelF : Matrix<float>, IXmlSerializable, IInputOutputArray, IInputArrayOfArrays, IOutputArrayOfArrays, IOutputArray, IInputArray, IDisposable, ISerializable, IEquatable<Matrix<float>>, ICloneable

Inheritance

object

DisposableObject

UnmanagedObject

CvArray<float>

Matrix<float>

ConvolutionKernelF

Implements

IXmlSerializable

IInputOutputArray

IInputArrayOfArrays

IOutputArrayOfArrays

IOutputArray

IInputArray

IDisposable

ISerializable

IEquatable<Matrix<float>>

ICloneable

Inherited Members

Matrix<float>.CopyBlank()

Matrix<float>.Clone()

Matrix<float>.Reshape(int, int)

Matrix<float>.Convert<TOtherDepth>(double, double)

Matrix<float>.AllocateData(int, int, int)

Matrix<float>.GetSubRect(Rectangle)

Matrix<float>.GetRow(int)

Matrix<float>.GetRows(int, int, int)

Matrix<float>.GetCol(int)

Matrix<float>.GetCols(int, int)

Matrix<float>.GetDiag(int)

Matrix<float>.GetDiag()

Matrix<float>.RemoveRows(int, int)

Matrix<float>.RemoveCols(int, int)

Matrix<float>.ConcateVertical(Matrix<float>)

Matrix<float>.ConcateHorizontal(Matrix<float>)

Matrix<float>.MinMax(out double, out double, out Point, out Point, IInputArray)

Matrix<float>.Add(Matrix<float>)

Matrix<float>.Add(float)

Matrix<float>.Sub(Matrix<float>)

Matrix<float>.Sub(float)

Matrix<float>.SubR(float)

Matrix<float>.Mul(double)

Matrix<float>.Mul(Matrix<float>)

Matrix<float>.DisposeObject()

Matrix<float>.Cmp(Matrix<float>, CmpType)

Matrix<float>.Split()

Matrix<float>.Equals(Matrix<float>)

Matrix<float>.ManagedArray

Matrix<float>.Data

Matrix<float>.NumberOfChannels

Matrix<float>.MCvMat

Matrix<float>.Det

Matrix<float>.Sum

Matrix<float>.this[int, int]

Matrix<float>.Size

CvArray<float>._dataHandle

CvArray<float>._cvMat

CvArray<float>.DotProduct(CvArray<float>)

CvArray<float>.CheckRange(double, double, ref Point)

CvArray<float>.Reduce<TOtherDepth>(CvArray<TOtherDepth>, ReduceDimension, ReduceType)

CvArray<float>.CopyTo(CvArray<float>)

CvArray<float>.SetValue(MCvScalar, CvArray<byte>)

CvArray<float>.SetValue(double, CvArray<byte>)

CvArray<float>.SetRandUniform(MCvScalar, MCvScalar)

CvArray<float>.SetRandNormal(MCvScalar, MCvScalar)

CvArray<float>.SetIdentity(MCvScalar)

CvArray<float>.SetZero()

CvArray<float>.SetIdentity()

CvArray<float>._Mul(double)

CvArray<float>._Mul(CvArray<float>)

CvArray<float>._Min(double)

CvArray<float>._Min(CvArray<float>)

CvArray<float>._Max(double)

CvArray<float>._Max(CvArray<float>)

CvArray<float>._And(CvArray<float>)

CvArray<float>._Or(CvArray<float>)

CvArray<float>._Not()

CvArray<float>.Save(string)

CvArray<float>.GetSchema()

CvArray<float>.ReadXml(XmlReader)

CvArray<float>.WriteXml(XmlWriter)

CvArray<float>.GetObjectData(SerializationInfo, StreamingContext)

CvArray<float>.DeserializeObjectData(SerializationInfo, StreamingContext)

CvArray<float>.GetInputArray()

CvArray<float>.GetOutputArray()

CvArray<float>.GetInputOutputArray()

CvArray<float>.ToUMat()

CvArray<float>.SerializationCompressionRatio

CvArray<float>.SizeOfElement

CvArray<float>.Ptr

CvArray<float>.Width

CvArray<float>.Height

CvArray<float>.Rows

CvArray<float>.Cols

CvArray<float>.Bytes

CvArray<float>.Trace

CvArray<float>.Norm

CvArray<float>.Mat

UnmanagedObject._ptr

DisposableObject.Dispose()

DisposableObject.ReleaseManagedResources()

object.GetType()

object.MemberwiseClone()

object.ToString()

object.Equals(object)

object.Equals(object, object)

object.ReferenceEquals(object, object)

object.GetHashCode()

Extension Methods

IInputArrayExtensions.ForEachDuplicateChannel(IInputArray, Action<IInputArray, int>)

IInputArrayExtensions.ForEachDuplicateChannel<TReturn>(IInputArray, Func<IInputArray, int, TReturn>)

IInputArrayExtensions.IsUmat(IInputArray)

Constructors

ConvolutionKernelF(Matrix<float>, Point)

Create a convolution kernel using the specific matrix and center

public ConvolutionKernelF(Matrix<float> kernel, Point center)

Parameters

kernel Matrix<float>

The values for the convolution kernel

center Point

The center of the kernel

ConvolutionKernelF(int, int)

Create a convolution kernel with the specific number of rows and cols

public ConvolutionKernelF(int rows, int cols)

Parameters

rows int

The number of raws for the convolution kernel

cols int

The number of columns for the convolution kernel

ConvolutionKernelF(float[,])

Create a convolution kernel using the specific floating point matrix

public ConvolutionKernelF(float[,] kernel)

Parameters

kernel float[,]

The values for the convolution kernel

ConvolutionKernelF(float[,], Point)

Create a convolution kernel using the specific floating point matrix and center

public ConvolutionKernelF(float[,] kernel, Point center)

Parameters

kernel float[,]

The values for the convolution kernel

center Point

The center for the convolution kernel

Fields

_center

The center of the convolution kernel

protected Point _center

Field Value

Point

Properties

Center

The center of the convolution kernel

public Point Center { get; set; }

Property Value

Point

Methods

Flip(FlipType)

Get a flipped copy of the convolution kernel

public ConvolutionKernelF Flip(FlipType flipType)

Parameters

flipType FlipType

The type of the flipping

Returns

ConvolutionKernelF

The flipped copy of this kernel

Transpose()

Obtain the transpose of the convolution kernel

public ConvolutionKernelF Transpose()

Returns

ConvolutionKernelF

A transposed convolution kernel