boofcv.alg.tracker.meanshift

Class LikelihoodHueSatHistCoupled_PL_U8

java.lang.Object

boofcv.alg.tracker.meanshift.LikelihoodHueSatHistCoupled_PL_U8

All Implemented Interfaces:

PixelLikelihood<boofcv.struct.image.Planar<boofcv.struct.image.GrayU8>>, boofcv.struct.sparse.SparseImageOperator<boofcv.struct.image.Planar<boofcv.struct.image.GrayU8>>, boofcv.struct.sparse.SparseImageSample_F32<boofcv.struct.image.Planar<boofcv.struct.image.GrayU8>>

public class LikelihoodHueSatHistCoupled_PL_U8
extends java.lang.Object
implements PixelLikelihood<boofcv.struct.image.Planar<boofcv.struct.image.GrayU8>>

TODO redo comments Converts an RGB image into HSV image to add invariance to changes in lighting conditions. Creates independent histograms for the target's Hue and Saturation, which are then normalized such that their sums are equal to one. Likelihood is computed multiply the value of the histograms together. Colors with a very small "Value" are ignored since their hue and saturation are not reliable.

Field Summary

Fields

Modifier and Type	Field and Description
protected float[]	bins
protected int	maxElementInBin
protected float	minimumValue
protected int	numHistogramBins
protected float	sizeH
protected float	sizeS

Constructor Summary

Constructors

Constructor and Description
LikelihoodHueSatHistCoupled_PL_U8(int maxPixelValue, int numHistogramBins) Configures likelihood function

Method Summary

Modifier and Type	Method and Description
float	compute(int x, int y)
void	createModel(georegression.struct.shapes.RectangleLength2D_I32 target) Specifies where the initial location of the target is in the image and computes the model using pixels inside the rectangle
boolean	isInBounds(int x, int y)
void	setImage(boofcv.struct.image.Planar<boofcv.struct.image.GrayU8> image) Sets the input image

Methods inherited from class java.lang.Object

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

Field Detail

numHistogramBins

protected int numHistogramBins

maxElementInBin

protected int maxElementInBin

minimumValue

protected float minimumValue

bins

protected float[] bins

sizeH

protected float sizeH

sizeS

protected float sizeS

Constructor Detail

LikelihoodHueSatHistCoupled_PL_U8

public LikelihoodHueSatHistCoupled_PL_U8(int maxPixelValue,
                                         int numHistogramBins)

Configures likelihood function

Parameters:

maxPixelValue - The maximum intensity value a pixel can take on.

numHistogramBins - Number of bins in the Hue and Saturation histogram.

Method Detail

setImage

public void setImage(boofcv.struct.image.Planar<boofcv.struct.image.GrayU8> image)

Description copied from interface: PixelLikelihood

Sets the input image

Specified by:

setImage in interface PixelLikelihood<boofcv.struct.image.Planar<boofcv.struct.image.GrayU8>>

Specified by:

setImage in interface boofcv.struct.sparse.SparseImageOperator<boofcv.struct.image.Planar<boofcv.struct.image.GrayU8>>

isInBounds

public boolean isInBounds(int x,
                          int y)

Specified by:

isInBounds in interface boofcv.struct.sparse.SparseImageOperator<boofcv.struct.image.Planar<boofcv.struct.image.GrayU8>>

createModel

public void createModel(georegression.struct.shapes.RectangleLength2D_I32 target)

Description copied from interface: PixelLikelihood

Specifies where the initial location of the target is in the image and computes the model using pixels inside the rectangle

Specified by:

createModel in interface PixelLikelihood<boofcv.struct.image.Planar<boofcv.struct.image.GrayU8>>

Parameters:

target - Location of target inside the image

compute

public float compute(int x,
                     int y)

Specified by:

compute in interface boofcv.struct.sparse.SparseImageSample_F32<boofcv.struct.image.Planar<boofcv.struct.image.GrayU8>>