boofcv.alg.tracker.meanshift

Class LikelihoodHistCoupled_PL_U8

java.lang.Object

boofcv.alg.tracker.meanshift.LikelihoodHistCoupled_PL_U8

All Implemented Interfaces:

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

public class LikelihoodHistCoupled_PL_U8
extends java.lang.Object
implements PixelLikelihood<Planar<GrayU8>>

Creates a histogram in a color image and is used to identify the likelihood of an color being a member of the original distribution. The histogram is computed in N-dimensional space, where N is the number of bands in the color image. The number of bins for each band is specified in the constructor. There is a total of N*numBins elements in the histogram.

Design Note:
The reason operations in GHistogramFeatureOps is not used internally is because those are for histograms stored in double arrays, while this has to use floats/

Constructor Summary

Constructors

Constructor and Description
LikelihoodHistCoupled_PL_U8(int maxPixelValue, int numBins)

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

LikelihoodHistCoupled_PL_U8

public LikelihoodHistCoupled_PL_U8(int maxPixelValue,
                                   int numBins)

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>>