ConvolutionKernel

References
public sealed class ConvolutionKernel
Represents a custom convolution kernel.

Properties

Height

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public int Height { get; }
Gets the full height of the kernel.

Inverse

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public float Inverse { get; }
Gets the inverse of all cells in the kernel.

RadiusX

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public int RadiusX { get; }
Gets the radius in the X direction. This is identical to the (Width - 1) / 2.

RadiusY

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public int RadiusY { get; }
Gets the radius in the Y direction. This is identical to the (Height - 1) / 2.

Total

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public float Total { get; }
Gets the total weight of all cells in the kernel.

Width

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public int Width { get; }
Gets the full width of the kernel.

Indexers

this[]

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public float this[int x, int y] { get; }
Gets the weight of the specified cell.
Parameters:
x (int)X index, must be in the range [0, Width).
y (int)Y index, must be in the range [0, Height).

Methods

Create

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public static ConvolutionKernel Create(float[][] kernel)
Create a convolution kernel from a nested array.
Parameters:
kernel (float[][])Array containing an odd number of nested array, each containing an odd number of values.
Returns: Matrix.

Create

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public static ConvolutionKernel Create(int width, int height, params float[] values)
Create a convolution kernel from a collection of values.
Parameters:
width (int)Width of kernel (must be a positive, odd number).
height (int)Height of kernel (must be a positive, odd number).
values (params float[])Collection of cell values, starting from upper left, row by row.
Returns: Convolution kernel.

CreateBlockBlur

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public static ConvolutionKernel CreateBlockBlur(int radiusX, int radiusY)
Create a block blur kernel.
Parameters:
radiusX (int)X radius.
radiusY (int)Y radius.
Returns: Blur kernel.

CreateConeBlur

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public static ConvolutionKernel CreateConeBlur(int radius)
Create a conical blur kernel.
Parameters:
radius (int)Radius.
Returns: Blur kernel.

CreateDiscBlur

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public static ConvolutionKernel CreateDiscBlur(int radius)
Create a circular blur kernel.
Parameters:
radius (int)Radius.
Returns: Blur kernel.

CreateEdgeDetectOrthogonal

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public static ConvolutionKernel CreateEdgeDetectOrthogonal()
Creates a standard 3x3 edge detection kernel for horizontal and vertical edges.
Returns: Convolution kernel.

CreateEdgeDetectRadial

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public static ConvolutionKernel CreateEdgeDetectRadial()
Creates a standard 3x3 edge detection kernel for all edges.
Returns: Convolution kernel.

CreateEmboss

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public static ConvolutionKernel CreateEmboss()
Creates a standard 3x3 embossing kernel.
Returns: Convolution kernel.

CreateGaussianBlur

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public static ConvolutionKernel CreateGaussianBlur()
Create a standard 3x3 gaussian blur kernel.
Returns: Blur kernel.

CreateIdentity

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public static ConvolutionKernel CreateIdentity()
Create the 3x3 identity kernel.

CreateLaplacian

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public static ConvolutionKernel CreateLaplacian()
Create a standard 3x3 Laplacian kernel.
Returns: Convolution kernel.

CreateSharpen

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public static ConvolutionKernel CreateSharpen()
Creates a standard 3x3 sharpen kernel.
Returns: Convolution kernel.

CreateSobelHorizontal

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public static ConvolutionKernel CreateSobelHorizontal(SobelOperator operator)
Create a sobel edge operator kernel.
Parameters:
operator (SobelOperator)Sobel operator.
Returns: Sobel kernel.

CreateSobelVertical

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public static ConvolutionKernel CreateSobelVertical(SobelOperator operator)
Create a sobel edge operator kernel.
Parameters:
operator (SobelOperator)Sobel operator.
Returns: Sobel kernel.

CreateUnsharp

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public static ConvolutionKernel CreateUnsharp()
Creates a standard 5x5 unsharp kernel.
Returns: Convolution kernel.

Normalise

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public ConvolutionKernel Normalise()
Normalise this kernel.
Returns: Normalised kernel.

ToString

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public override string ToString()
Returns a string that represents the current object.
Returns: A string that represents the current object.
Overrides: Object.ToString