Package boofcv.alg.disparity.block.select

Class SelectCorrelationWithChecks_F32<DI extends ImageGray<DI>>

java.lang.Object

boofcv.alg.disparity.block.SelectDisparityWithChecksWta<float[],DI>

boofcv.alg.disparity.block.select.SelectCorrelationWithChecks_F32<DI>

All Implemented Interfaces:

DisparitySelect<float[],DI>, Compare_F32

Direct Known Subclasses:

SelectCorrelationSubpixel.F32_F32, SelectCorrelationWithChecks_F32.DispU8

public abstract class SelectCorrelationWithChecks_F32<DI extends ImageGray<DI>>
extends SelectDisparityWithChecksWta<float[],DI>
implements Compare_F32

Implementation of SelectDisparityWithChecksWta as a base class for arrays of type F32 are a correlation score. Extend for different output image types.

Nested Class Summary

Nested Classes

Modifier and Type	Class	Description
static class	SelectCorrelationWithChecks_F32.DispU8	Implementation for disparity images of type GrayU8

Nested classes/interfaces inherited from class boofcv.alg.disparity.block.SelectDisparityWithChecksWta

SelectDisparityWithChecksWta.SaveScore

Field Summary

Fields

Modifier and Type	Field	Description
protected float	textureThreshold

Fields inherited from class boofcv.alg.disparity.block.SelectDisparityWithChecksWta

DISCRETIZER, disparityMax, disparityMin, disparityRange, disparityType, funcSaveScore, imageDisparity, imageScore, invalidDisparity, localRange, maxError, radiusX, regionWidth, rightToLeftTolerance

Constructor Summary

Constructors

Modifier	Constructor	Description
protected	SelectCorrelationWithChecks_F32(int rightToLeftTolerance, double texture, Class<DI> disparityType)
protected	SelectCorrelationWithChecks_F32(SelectCorrelationWithChecks_F32<DI> original)

Method Summary

Modifier and Type	Method	Description
int	compare(float scoreA, float scoreB)	1 = scoreA is better than scoreB 0 = scoreA is equivalent than scoreB -1 = scoreA is worse than scoreB
void	configure(DI imageDisparity, @Nullable GrayF32 imageScore, int disparityMin, int disparityMax, int radiusX)	Specifies the output and algorithmic configuration.
void	process(int row, float[] scores)	Processes the array of scores.
void	setTexture(double threshold)

Methods inherited from class boofcv.alg.disparity.block.SelectDisparityWithChecksWta

disparityMaxAtColumnL2R, getDisparityType, setDisparity, setDisparityInvalid, setLocalDisparityMax

Methods inherited from class java.lang.Object

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

Methods inherited from interface boofcv.alg.disparity.block.DisparitySelect

concurrentCopy

Field Details

textureThreshold

protected float textureThreshold

Constructor Details

SelectCorrelationWithChecks_F32

protected SelectCorrelationWithChecks_F32(int rightToLeftTolerance,
 double texture,
 Class<DI> disparityType)

SelectCorrelationWithChecks_F32

protected SelectCorrelationWithChecks_F32(SelectCorrelationWithChecks_F32<DI> original)

Method Details

setTexture

public void setTexture(double threshold)

Specified by:

setTexture in class SelectDisparityWithChecksWta<float[],DI extends ImageGray<DI>>

configure

public void configure(DI imageDisparity,
 @Nullable
 @Nullable GrayF32 imageScore,
 int disparityMin,
 int disparityMax,
 int radiusX)

Description copied from interface: DisparitySelect

Specifies the output and algorithmic configuration.

Specified by:

configure in interface DisparitySelect<float[],DI extends ImageGray<DI>>

Overrides:

configure in class SelectDisparityWithChecksWta<float[],DI extends ImageGray<DI>>

Parameters:

imageDisparity - Output disparity image.

imageScore - If not null, then the score for best fit disparity will be stored here.

disparityMin - Minimum disparity that can be computed

disparityMax - Maximum disparity that is calculated

radiusX - Radius of the rectangular region being matched along x-axis.

process

public void process(int row,
 float[] scores)

Description copied from interface: DisparitySelect

Processes the array of scores. The score format is described in DisparityBlockMatch. The results are written directly into the disparity image passed to it in DisparitySelect.configure(T, boofcv.struct.image.GrayF32, int, int, int).

Specified by:

process in interface DisparitySelect<float[],DI extends ImageGray<DI>>

Parameters:

row - Image row the scores are from.

scores - Array containing scores. (int[] or float[])

compare

public int compare(float scoreA,
 float scoreB)

Description copied from interface: Compare_F32

• 1 = scoreA is better than scoreB
• 0 = scoreA is equivalent than scoreB
• -1 = scoreA is worse than scoreB

Specified by:

compare in interface Compare_F32