Package boofcv.alg.background.stationary

Class BackgroundStationaryGaussian_PL_MT<T extends ImageGray<T>>

java.lang.Object

boofcv.alg.background.BackgroundModel<T>

boofcv.alg.background.BackgroundModelStationary<T>

boofcv.alg.background.stationary.BackgroundStationaryGaussian<Planar<T>>

boofcv.alg.background.stationary.BackgroundStationaryGaussian_PL_MT<T>

All Implemented Interfaces:

BackgroundAlgorithmGaussian

@Generated("boofcv.alg.background.stationary.BackgroundStationaryGaussian_PL")
public class BackgroundStationaryGaussian_PL_MT<T extends ImageGray<T>>
extends BackgroundStationaryGaussian<Planar<T>>

Implementation of BackgroundStationaryGaussian for Planar.

Field Summary

Fields

Modifier and Type	Field	Description
protected GImageMultiBand	bgWrapper
protected GImageMultiBand	inputWrapper

Fields inherited from class boofcv.alg.background.stationary.BackgroundStationaryGaussian

initialVariance, learnRate, minimumDifference, threshold

Fields inherited from class boofcv.alg.background.BackgroundModel

imageType, unknownValue

Constructor Summary

Constructors

Constructor	Description
BackgroundStationaryGaussian_PL_MT(float learnRate, float threshold, ImageType<Planar<T>> imageType)	Configurations background removal.

Method Summary

Modifier and Type	Method	Description
void	reset()	Resets model to its original state
void	segment(Planar<T> frame, GrayU8 segmented)	Invoke to segment input image into background and foreground pixels.
void	updateBackground(Planar<T> frame)	Updates the background with new image information.

Methods inherited from class boofcv.alg.background.BackgroundModelStationary

updateBackground

Methods inherited from class boofcv.alg.background.BackgroundModel

getImageType, getUnknownValue, setUnknownValue

Methods inherited from class java.lang.Object

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

Methods inherited from interface boofcv.alg.background.BackgroundAlgorithmGaussian

getInitialVariance, getLearnRate, getMinimumDifference, getThreshold, setInitialVariance, setLearnRate, setMinimumDifference, setThreshold

Field Details

inputWrapper

protected GImageMultiBand inputWrapper

bgWrapper

protected GImageMultiBand bgWrapper

Constructor Details

BackgroundStationaryGaussian_PL_MT

public BackgroundStationaryGaussian_PL_MT(float learnRate,
 float threshold,
 ImageType<Planar<T>> imageType)

Configurations background removal.

Parameters:

learnRate - Specifies how quickly the background is updated. 0 = static 1.0 = instant. Try 0.05

threshold - Threshold for background. Consult a chi-square table for reasonably values. 10 to 16 for 1 to 3 bands.

imageType - Type of input image.

Method Details

reset

public void reset()

Description copied from class: BackgroundModel

Resets model to its original state

Specified by:

reset in class BackgroundModel<Planar<T extends ImageGray<T>>>

updateBackground

public void updateBackground(Planar<T> frame)

Description copied from class: BackgroundModelStationary

Updates the background with new image information.

Specified by:

updateBackground in class BackgroundModelStationary<Planar<T extends ImageGray<T>>>

segment

public void segment(Planar<T> frame,
 GrayU8 segmented)

Description copied from class: BackgroundModelStationary

Invoke to segment input image into background and foreground pixels. If 'segmented' isn't the correct size it will be resized.

Specified by:

segment in class BackgroundModelStationary<Planar<T extends ImageGray<T>>>

Parameters:

frame - (input) current image

segmented - (output) Segmented image. 0 = background, 1 = foreground/moving