boofcv.factory.transform.pyramid

Class FactoryPyramid

java.lang.Object

boofcv.factory.transform.pyramid.FactoryPyramid

public class FactoryPyramid
extends java.lang.Object

Factory for creating classes related to image pyramids.

Constructor Summary

Constructors

Constructor and Description
FactoryPyramid()

Method Summary

Modifier and Type	Method and Description
static <T extends ImageGray> PyramidDiscrete<T>	discreteGaussian(int[] scaleFactors, double sigma, int radius, boolean saveOriginalReference, java.lang.Class<T> imageType) Creates an updater for discrete pyramids where a Gaussian is convolved across the input prior to sub-sampling.
static <T extends ImageGray> PyramidFloat<T>	floatGaussian(double[] scaleFactors, double[] sigmas, java.lang.Class<T> imageType) Creates a float pyramid where each layer is blurred using a Gaussian with the specified sigma.
static <T extends ImageGray> PyramidFloat<T>	scaleSpace(double[] scaleSpace, java.lang.Class<T> imageType) Constructs a scale-space image pyramid.
static <T extends ImageGray> PyramidFloat<T>	scaleSpacePyramid(double[] scaleSpace, java.lang.Class<T> imageType) Constructs an image pyramid which is designed to mimic a GaussianScaleSpace.

Methods inherited from class java.lang.Object

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

Constructor Detail

FactoryPyramid

public FactoryPyramid()

Method Detail

discreteGaussian

public static <T extends ImageGray> PyramidDiscrete<T> discreteGaussian(int[] scaleFactors,
                                                                        double sigma,
                                                                        int radius,
                                                                        boolean saveOriginalReference,
                                                                        java.lang.Class<T> imageType)

Creates an updater for discrete pyramids where a Gaussian is convolved across the input prior to sub-sampling.

Parameters:

imageType - Type of input image.

sigma - Gaussian sigma. If < 0 then a sigma is selected using the radius. Try -1.

radius - Radius of the Gaussian kernel. If < 0 then the radius is selected using sigma. Try 2.

Returns:

PyramidDiscrete

floatGaussian

public static <T extends ImageGray> PyramidFloat<T> floatGaussian(double[] scaleFactors,
                                                                  double[] sigmas,
                                                                  java.lang.Class<T> imageType)

Creates a float pyramid where each layer is blurred using a Gaussian with the specified sigma. Bilinear interpolation is used when sub-sampling.

Parameters:

scaleFactors - The scale factor of each layer relative to the previous layer. Layer 0 is relative to the input image.

sigmas - Gaussian blur magnitude for each layer.

imageType - Type of image in the pyramid.

Returns:

PyramidFloat

scaleSpacePyramid

public static <T extends ImageGray> PyramidFloat<T> scaleSpacePyramid(double[] scaleSpace,
                                                                      java.lang.Class<T> imageType)

Constructs an image pyramid which is designed to mimic a GaussianScaleSpace. Each layer in the pyramid should have the equivalent amount of blur that a space-space constructed with the same parameters would have.

Parameters:

scaleSpace - The scale of each layer and the desired amount of blur relative to the original image

imageType - Type of image

Returns:

PyramidFloat

scaleSpace

public static <T extends ImageGray> PyramidFloat<T> scaleSpace(double[] scaleSpace,
                                                               java.lang.Class<T> imageType)

Constructs a scale-space image pyramid. Each layer in the pyramid is the same size as the input image but has a different amount of blur applied to it.

Type Parameters:

T - Type of image

Parameters:

scaleSpace - Amount of blur applied to each layer in the pyramid relative to the input image.

imageType - Type of image

Returns:

Scale-space image pyramid