SeparableKernel class

A kernel object to use with separableConvolution filtering.

Constructors

SeparableKernel(int size)

Create a separable convolution kernel for the given radius.

Properties

coefficients → List<num>

final

hashCode → int

The hash code for this object.

no setter, inherited

length → int

Get the number of coefficients in the kernel.

no setter

runtimeType → Type

A representation of the runtime type of the object.

no setter, inherited

size → int

final

Methods

apply(Image src, Image dst, {bool horizontal = true}) → void

Apply the kernel to the src image, storing the results in dst, for a single dimension. If [horizontal is true, the filter will be applied to the horizontal axis, otherwise it will be appied to the vertical axis.

noSuchMethod(Invocation invocation) → dynamic

Invoked when a nonexistent method or property is accessed.

inherited

scaleCoefficients(num s) → void

Scale all of the coefficients by s.

toString() → String

A string representation of this object.

inherited

Operators

operator ==(Object other) → bool

The equality operator.

inherited

operator [](int index) → num

Get a coefficient from the kernel.

operator []=(int index, num c) → void

Set a coefficient in the kernel.