| Constructor and Description |
|---|
AnyImageDerivative(Kernel1D deriv,
Class<I> inputType,
ImageGenerator<D> derivGen)
Constructor for 1D kernels.
|
| Modifier and Type | Method and Description |
|---|---|
static <T extends ImageSingleBand,K extends Kernel1D,B extends ImageBorder<T>> |
GConvolveImageOps.horizontal(K kernel,
T input,
T output,
B border)
Performs a horizontal 1D convolution across the image.
|
static <T extends ImageSingleBand,K extends Kernel1D> |
GConvolveImageOps.horizontal(K kernel,
T input,
T output,
boolean includeVerticalBorder)
Performs a horizontal 1D convolution across the image.
|
static <T extends ImageSingleBand,K extends Kernel1D> |
GConvolveImageOps.horizontalNormalized(K kernel,
T input,
T output)
Performs a horizontal 1D convolution across the image while re-normalizing the kernel depending on its
overlap with the image.
|
static <T extends ImageSingleBand,K extends Kernel1D,B extends ImageBorder<T>> |
GConvolveImageOps.vertical(K kernel,
T input,
T output,
B border)
Performs a vertical 1D convolution across the image.
|
static <T extends ImageSingleBand,K extends Kernel1D> |
GConvolveImageOps.vertical(K kernel,
T input,
T output,
boolean includeHorizontalBorder)
Performs a horizontal 1D convolution across the image.
|
static <T extends ImageSingleBand,K extends Kernel1D> |
GConvolveImageOps.verticalNormalized(K kernel,
T input,
T output)
Performs a vertical 1D convolution across the image while re-normalizing the kernel depending on its
overlap with the image.
|
| Modifier and Type | Method and Description |
|---|---|
static Kernel1D |
GradientThree.getKernelX(boolean isInteger)
Returns the kernel for computing the derivative along the x-axis.
|
| Modifier and Type | Method and Description |
|---|---|
static Kernel1D |
GKernelMath.convolve1D(Kernel1D a,
Kernel1D b) |
| Modifier and Type | Method and Description |
|---|---|
static Kernel2D |
GKernelMath.convolve(Kernel1D a,
Kernel1D b) |
static Kernel1D |
GKernelMath.convolve1D(Kernel1D a,
Kernel1D b) |
| Modifier and Type | Class and Description |
|---|---|
class |
BicubicKernel_F32
A kernel can be used to approximate bicubic interpolation.
|
| Constructor and Description |
|---|
PyramidDiscreteSampleBlur(Kernel1D kernel,
double sigma,
Class<T> imageType,
boolean saveOriginalReference,
int... scaleFactors) |
| Modifier and Type | Method and Description |
|---|---|
static <Input extends ImageSingleBand,Output extends ImageSingleBand> |
FactoryConvolve.convolve(Kernel1D kernel,
Class<Input> inputType,
Class<Output> outputType,
BorderType border,
boolean isHorizontal)
Creates a filter for convolving 1D kernels along the image.
|
static <Input extends ImageSingleBand,Output extends ImageSingleBand> |
FactoryConvolveDown.convolve(Kernel1D kernel,
Class<Input> inputType,
Class<Output> outputType,
BorderType border,
boolean isHorizontal,
int skip)
Creates a filter for convolving 1D kernels along the image.
|
| Modifier and Type | Method and Description |
|---|---|
static <T extends Kernel1D> |
FactoryKernelGaussian.derivative(int order,
boolean isFloat,
double sigma,
int radius)
Creates a 1D Gaussian kernel with the specified properties.
|
static <T extends ImageSingleBand,K extends Kernel1D> |
FactoryKernelGaussian.derivativeI(Class<T> imageType,
int order,
double sigma,
int radius) |
static <T extends Kernel1D> |
FactoryKernelGaussian.derivativeK(Class<T> kernelType,
int order,
double sigma,
int radius) |
static <T extends ImageSingleBand,K extends Kernel1D> |
FactoryKernelGaussian.gaussian1D(Class<T> imageType,
double sigma,
int radius)
Creates a 1D Gaussian kernel of the specified type.
|
static <K1 extends Kernel1D,K2 extends Kernel2D> |
FactoryKernel.get1DType(Class<K2> kernelType) |
| Modifier and Type | Class and Description |
|---|---|
class |
Kernel1D_F32
Floating point 1D convolution kernel that extends
Kernel1D. |
class |
Kernel1D_F64
Floating point 1D convolution kernel that extends
Kernel1D. |
class |
Kernel1D_I32
Integer 1D convolution kernel that extends
Kernel1D. |
class |
KernelContinuous1D_F32
Computes the instantaneous value of a continuous valued function.
|
Copyright © 2013. All Rights Reserved.