boofcv.alg.tracker.meanshift

Class LikelihoodHistCoupled_PL_U8

java.lang.Object

boofcv.alg.tracker.meanshift.LikelihoodHistCoupled_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 LikelihoodHistCoupled_PL_U8
extends java.lang.Object
implements PixelLikelihood<boofcv.struct.image.Planar<boofcv.struct.image.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(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

Constructor Detail

LikelihoodHistCoupled_PL_U8

public LikelihoodHistCoupled_PL_U8(int maxPixelValue,
                                   int numBins)

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>>