boofcv.abst.filter.derivative

Class AnyImageDerivative<I extends ImageGray,D extends ImageGray>

java.lang.Object

boofcv.abst.filter.derivative.AnyImageDerivative<I,D>

public class AnyImageDerivative<I extends ImageGray,D extends ImageGray>
extends java.lang.Object

A helpful class which allows a derivative of any order to be computed from an input image using a simple to use interface. Higher order derivatives are computed from lower order derivatives. Derivatives are computed using convolution kernels and thus might not be as efficient as when using functions from FactoryDerivative.

Constructor Summary

Constructors

Constructor and Description
AnyImageDerivative(ConvolveInterface<I,D> derivX, ConvolveInterface<I,D> derivY, ConvolveInterface<D,D> derivXX, ConvolveInterface<D,D> derivYY, java.lang.Class<I> inputType, java.lang.Class<D> derivType) Constructor for when all derivative filters are specified
AnyImageDerivative(Kernel1D deriv, java.lang.Class<I> inputType, java.lang.Class<D> derivType) Constructor for 1D kernels.
AnyImageDerivative(Kernel2D derivX, java.lang.Class<I> inputType, java.lang.Class<D> derivType) Constructor for 2D kernels.

Method Summary

Modifier and Type	Method and Description
D	getDerivative(boolean... isX) Computes derivative images using previously computed lower level derivatives.
void	setInput(I input) Sets the new input image from which the image derivatives are computed from.

Methods inherited from class java.lang.Object

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

Constructor Detail

AnyImageDerivative

public AnyImageDerivative(Kernel1D deriv,
                          java.lang.Class<I> inputType,
                          java.lang.Class<D> derivType)

Constructor for 1D kernels.

Parameters:

deriv - 1D convolution kernel for computing derivative along x and y axises.

inputType - The type of input image.

derivType - Derivative image type

AnyImageDerivative

public AnyImageDerivative(Kernel2D derivX,
                          java.lang.Class<I> inputType,
                          java.lang.Class<D> derivType)

Constructor for 2D kernels.

Parameters:

derivX - 2D convolution kernel for computing derivative along x axis

inputType - The type of input image.

derivType - Derivative image type

AnyImageDerivative

public AnyImageDerivative(ConvolveInterface<I,D> derivX,
                          ConvolveInterface<I,D> derivY,
                          ConvolveInterface<D,D> derivXX,
                          ConvolveInterface<D,D> derivYY,
                          java.lang.Class<I> inputType,
                          java.lang.Class<D> derivType)

Constructor for when all derivative filters are specified

Parameters:

derivX - Filter for computing derivative along x axis from input image.

derivY - Filter for computing derivative along y axis from input image.

derivXX - Filter for computing derivative along x axis from input image.

derivYY - Filter for computing derivative along y axis from input image.

inputType - The type of input image.

Method Detail

setInput

public void setInput(I input)

Sets the new input image from which the image derivatives are computed from.

Parameters:

input - Input image.

getDerivative

public D getDerivative(boolean... isX)

Computes derivative images using previously computed lower level derivatives. Only computes/declares images as needed.