Package boofcv.alg.filter.derivative

Class GradientThree

java.lang.Object

boofcv.alg.filter.derivative.GradientThree

public class GradientThree
extends Object

Computes the image's first derivative along the x and y axises using [-1 0 1] kernel.

Th 1-D kernel allows the image's gradient to be computed efficiently but is more sensitive to local noise.

For example in an integer image:
derivX(x,y) = img(x+1,y) - img(x-1,y)
derivY(x,y) = img(x,y+1) - img(x,y-1)

Field Summary

Fields

Modifier and Type	Field	Description
static Kernel1D_F32	kernelDeriv_F32
static Kernel1D_S32	kernelDeriv_I32

Constructor Summary

Constructors

Constructor	Description
GradientThree()

Method Summary

Modifier and Type	Method	Description
static Kernel1D	getKernelX(boolean isInteger)	Returns the kernel for computing the derivative along the x-axis.
static void	process(GrayF32 orig, GrayF32 derivX, GrayF32 derivY, @Nullable ImageBorder_F32 border)	Computes the derivative of an GrayF32 along the x and y axes.
static void	process(GrayS16 orig, GrayS16 derivX, GrayS16 derivY, @Nullable ImageBorder_S32 border)	Computes the derivative of an GrayS16 along the x and y axes.
static void	process(GrayU8 orig, GrayS16 derivX, GrayS16 derivY, @Nullable ImageBorder_S32 border)	Computes the derivative of an GrayU8 along the x and y axes.
static void	process(GrayU8 orig, GrayS32 derivX, GrayS32 derivY, @Nullable ImageBorder_S32 border)	Computes the derivative of an GrayU8 along the x and y axes.
static <I extends ImageGray<I>, D extends ImageGray<D>> void	process(I input, D derivX, D derivY, @Nullable ImageBorder border)

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Details

kernelDeriv_I32

public static Kernel1D_S32 kernelDeriv_I32

kernelDeriv_F32

public static Kernel1D_F32 kernelDeriv_F32

Constructor Details

GradientThree

public GradientThree()

Method Details

getKernelX

public static Kernel1D getKernelX(boolean isInteger)

Returns the kernel for computing the derivative along the x-axis.

process

public static <I extends ImageGray<I>,
D extends ImageGray<D>>
void process(I input,
 D derivX,
 D derivY,
 @Nullable
 @Nullable ImageBorder border)

process

public static void process(GrayU8 orig,
 GrayS16 derivX,
 GrayS16 derivY,
 @Nullable
 @Nullable ImageBorder_S32 border)

Computes the derivative of an GrayU8 along the x and y axes.

Parameters:

orig - Which which is to be differentiated. Not Modified.

derivX - Derivative along the x-axis. Modified.

derivY - Derivative along the y-axis. Modified.

border - Specifies how the image border is handled. If null the border is not processed.

process

public static void process(GrayU8 orig,
 GrayS32 derivX,
 GrayS32 derivY,
 @Nullable
 @Nullable ImageBorder_S32 border)

Computes the derivative of an GrayU8 along the x and y axes.

Parameters:

orig - Which which is to be differentiated. Not Modified.

derivX - Derivative along the x-axis. Modified.

derivY - Derivative along the y-axis. Modified.

border - Specifies how the image border is handled. If null the border is not processed.

process

public static void process(GrayS16 orig,
 GrayS16 derivX,
 GrayS16 derivY,
 @Nullable
 @Nullable ImageBorder_S32 border)

Computes the derivative of an GrayS16 along the x and y axes.

Parameters:

orig - Which which is to be differentiated. Not Modified.

derivX - Derivative along the x-axis. Modified.

derivY - Derivative along the y-axis. Modified.

border - Specifies how the image border is handled. If null the border is not processed.

process

public static void process(GrayF32 orig,
 GrayF32 derivX,
 GrayF32 derivY,
 @Nullable
 @Nullable ImageBorder_F32 border)

Computes the derivative of an GrayF32 along the x and y axes.

Parameters:

orig - Which which is to be differentiated. Not Modified.

derivX - Derivative along the x-axis. Modified.

derivY - Derivative along the y-axis. Modified.

border - Specifies how the image border is handled. If null the border is not processed.