Package boofcv.alg.disparity.block.select

Class SelectCorrelationWta_F32_U8

java.lang.Object

boofcv.alg.disparity.block.SelectDisparityBasicWta<float[],GrayU8>

boofcv.alg.disparity.block.select.SelectCorrelationWta_F32_U8

All Implemented Interfaces:

DisparitySelect<float[],GrayU8>, Compare_F32

public class SelectCorrelationWta_F32_U8
extends SelectDisparityBasicWta<float[],GrayU8>
implements Compare_F32

Implementation of SelectDisparityBasicWta for scores of type F32 and correlation. Since it's correlation it pixels the score with the highest value.

Field Summary

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

disparityMax, disparityMin, disparityRange, funcSaveScore, imageDisparity, imageScore, imageWidth, radiusX, regionWidth

Constructor Summary

Constructors

Constructor	Description
SelectCorrelationWta_F32_U8()

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
DisparitySelect<float[],GrayU8>	concurrentCopy()	Creates a copy with separate working space.
void	configure(GrayU8 imageDisparity, @Nullable GrayF32 imageScore, int disparityMin, int disparityMax, int radiusX)	Specifies the output and algorithmic configuration.
Class<GrayU8>	getDisparityType()	Type of image the disparity is
void	process(int row, float[] blockOfScores)	Processes the array of scores.

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

disparityMaxAtColumnL2R

Methods inherited from class java.lang.Object

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

Constructor Details

SelectCorrelationWta_F32_U8

public SelectCorrelationWta_F32_U8()

Method Details

configure

public void configure(GrayU8 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[],GrayU8>

Overrides:

configure in class SelectDisparityBasicWta<float[],GrayU8>

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[] blockOfScores)

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[],GrayU8>

Parameters:

row - Image row the scores are from.

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

concurrentCopy

public DisparitySelect<float[],GrayU8> concurrentCopy()

Description copied from interface: DisparitySelect

Creates a copy with separate working space. Used for concurrency. Data structures which are threadsafe can be shared

Specified by:

concurrentCopy in interface DisparitySelect<float[],GrayU8>

getDisparityType

public Class<GrayU8> getDisparityType()

Description copied from interface: DisparitySelect

Type of image the disparity is

Specified by:

getDisparityType in interface DisparitySelect<float[],GrayU8>

Returns:

Image type for disparity

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