boofcv.alg.filter.derivative

Class GradientTwo0

java.lang.Object

boofcv.alg.filter.derivative.GradientTwo0

public class GradientTwo0
extends java.lang.Object

Computes the image's first derivative along the x and y axises using [-1 1] kernel, where the "center" of the kernel is on the -1.

The 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,y)
derivY(x,y) = img(x,y+1) - img(x,y)

Field Summary

Fields

Modifier and Type	Field and Description
static Kernel1D_F32	kernelDeriv_F32
static Kernel1D_I32	kernelDeriv_I32

Constructor Summary

Constructors

Constructor and Description
GradientTwo0()

Method Summary

Modifier and Type	Method and 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, ImageBorder_F32 border) Computes the derivative of an GrayF32 along the x and y axes.
static void	process(GrayS16 orig, GrayS16 derivX, GrayS16 derivY, ImageBorder_S32 border) Computes the derivative of an GrayS16 along the x and y axes.
static void	process(GrayU8 orig, GrayS16 derivX, GrayS16 derivY, ImageBorder_S32 border) Computes the derivative of an GrayU8 along the x and y axes.

Methods inherited from class java.lang.Object

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

Field Detail

kernelDeriv_I32

public static Kernel1D_I32 kernelDeriv_I32

kernelDeriv_F32

public static Kernel1D_F32 kernelDeriv_F32

Constructor Detail

GradientTwo0

public GradientTwo0()

Method Detail

getKernelX

public static Kernel1D getKernelX(boolean isInteger)

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

process

public static void process(GrayU8 orig,
                           GrayS16 derivX,
                           GrayS16 derivY,
                           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,
                           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,
                           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.