boofcv.alg.tracker.meanshift

Class LikelihoodHueSatHistInd_PL_U8

java.lang.Object

boofcv.alg.tracker.meanshift.LikelihoodHueSatHistInd_PL_U8

All Implemented Interfaces:

PixelLikelihood<Planar<GrayU8>>, SparseImageOperator<Planar<GrayU8>>, SparseImageSample_F32<Planar<GrayU8>>

public class LikelihoodHueSatHistInd_PL_U8
extends java.lang.Object
implements PixelLikelihood<Planar<GrayU8>>

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.

Constructor Summary

Constructors

Constructor and Description
LikelihoodHueSatHistInd_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(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) Checks to see if the entire sample region is contained inside the image or not.
void	setImage(Planar<GrayU8> image) Sets the input image

Methods inherited from class java.lang.Object

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

Constructor Detail

LikelihoodHueSatHistInd_PL_U8

public LikelihoodHueSatHistInd_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(Planar<GrayU8> image)

Description copied from interface: PixelLikelihood

Sets the input image

Specified by:

setImage in interface PixelLikelihood<Planar<GrayU8>>

Specified by:

setImage in interface SparseImageOperator<Planar<GrayU8>>

Parameters:

image - Image being processed

isInBounds

public boolean isInBounds(int x,
                          int y)

Description copied from interface: SparseImageOperator

Checks to see if the entire sample region is contained inside the image or not. Depending on the implementation it might be able to handle out of bounds pixels or not.

Specified by:

isInBounds in interface SparseImageOperator<Planar<GrayU8>>

createModel

public void createModel(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<Planar<GrayU8>>

Parameters:

target - Location of target inside the image

compute

public float compute(int x,
                     int y)

Specified by:

compute in interface SparseImageSample_F32<Planar<GrayU8>>