com.emphysic.myriad.core.data.ops.math

Class GradientVector

java.lang.Object

com.emphysic.myriad.core.data.ops.math.GradientVector

All Implemented Interfaces:

java.io.Serializable

public class GradientVector
extends java.lang.Object
implements java.io.Serializable

GradientVector - container class for gradient of a matrix Created by chris on 8/25/2016.

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
GradientVector(Dataset input) Computes the gradient vector from the input data
GradientVector(Dataset dx, Dataset dy) Computes the gradient vector from the horizontal and vertical gradients

Method Summary

Modifier and Type	Method and Description
(package private) void	calc(Dataset input) Calculates the magnitude and direction of the gradient vectors for the given input.
(package private) void	calc(Dataset dx, Dataset dy) Calculates the magnitude and direction of the gradient vectors for the given horizontal and vertical gradients.
Dataset	getAngles() Angles of gradient vectors
double[][]	gethKernel() Horizontal gradient kernel
Dataset	getMagnitudes() Magnitudes of gradient vectors
double[][]	getvKernel() Vertical gradient kernel
Dataset	hGrad(Dataset input) Calculates the horizontal gradient of the input
void	sethKernel(double[][] hKernel) Sets the kernel for calculating horizontal gradient
void	setvKernel(double[][] vKernel) Sets the kernel for calculating vertical gradient
Dataset	vGrad(Dataset input) Calculates the vertical gradient of the input

Methods inherited from class java.lang.Object

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

Constructor Detail

GradientVector

public GradientVector(Dataset input)

Computes the gradient vector from the input data

Parameters:

input - input data

GradientVector

public GradientVector(Dataset dx,
                      Dataset dy)

Computes the gradient vector from the horizontal and vertical gradients

Parameters:

dx - horizontal gradient

dy - vertical gradient

Method Detail

hGrad

public Dataset hGrad(Dataset input)

Calculates the horizontal gradient of the input

Parameters:

input - input Dataset

Returns:

horizontal gradient

vGrad

public Dataset vGrad(Dataset input)

Calculates the vertical gradient of the input

Parameters:

input - input Dataset

Returns:

vertical gradient

calc

void calc(Dataset input)

Calculates the magnitude and direction of the gradient vectors for the given input.

Parameters:

input - input Dataset

calc

void calc(Dataset dx,
          Dataset dy)

Calculates the magnitude and direction of the gradient vectors for the given horizontal and vertical gradients.

Parameters:

dx - horizontal gradient

dy - vertical gradient

getMagnitudes

public Dataset getMagnitudes()

Magnitudes of gradient vectors

Returns:

magnitudes

getAngles

public Dataset getAngles()

Angles of gradient vectors

Returns:

angles in radians

gethKernel

public double[][] gethKernel()

Horizontal gradient kernel

Returns:

horizontal gradient kernel

sethKernel

public void sethKernel(double[][] hKernel)

Sets the kernel for calculating horizontal gradient

Parameters:

hKernel - new kernel

getvKernel

public double[][] getvKernel()

Vertical gradient kernel

Returns:

vertical gradient kernel

setvKernel

public void setvKernel(double[][] vKernel)

Sets the kernel for calculating vertical gradient

Parameters:

vKernel - new kernel