Package boofcv.abst.disparity

Class DisparityBlockMatchCorrelation<T extends ImageGray<T>,D extends ImageGray<D>,TF extends ImageGray<TF>>

java.lang.Object

boofcv.abst.disparity.WrapBaseBlockMatch<T,TF,D>

boofcv.abst.disparity.DisparityBlockMatchCorrelation<T,D,TF>

All Implemented Interfaces:

StereoDisparity<T,D>

public class DisparityBlockMatchCorrelation<T extends ImageGray<T>,D extends ImageGray<D>,TF extends ImageGray<TF>>
extends WrapBaseBlockMatch<T,TF,D>

Wrapper around StereoDisparity that will (optionally) convert all inputs to float and normalize the input to have zero mean and an absolute value of at most 1.

Constructor Summary

Constructors

Constructor	Description
DisparityBlockMatchCorrelation(DisparityBlockMatchRowFormat<TF,D> alg, Class<T> inputType)

Method Summary

Modifier and Type	Method	Description
void	_process(T imageLeft, T imageRight)
TF	getAdjustedLeft()
TF	getAdjustedRight()
ImageType<T>	getInputType()	Type of input images it can process
boolean	isNormalizeInput()
void	setNormalizeInput(boolean normalizeInput)

Methods inherited from class boofcv.abst.disparity.WrapBaseBlockMatch

getAlg, getBorderX, getBorderY, getDisparity, getDisparityMin, getDisparityRange, getDisparityScore, getDisparityType, getInvalidValue, process, setScoreEnabled

Methods inherited from class java.lang.Object

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

Constructor Details

DisparityBlockMatchCorrelation

public DisparityBlockMatchCorrelation(DisparityBlockMatchRowFormat<TF,D> alg,
 Class<T> inputType)

Method Details

_process

public void _process(T imageLeft,
 T imageRight)

Specified by:

_process in class WrapBaseBlockMatch<T extends ImageGray<T>,TF extends ImageGray<TF>,D extends ImageGray<D>>

getInputType

public ImageType<T> getInputType()

Description copied from interface: StereoDisparity

Type of input images it can process

Returns:

Input image type

getAdjustedLeft

public TF getAdjustedLeft()

getAdjustedRight

public TF getAdjustedRight()

isNormalizeInput

public boolean isNormalizeInput()

setNormalizeInput

public void setNormalizeInput(boolean normalizeInput)