boofcv.alg.background.stationary

Class BackgroundStationaryGaussian_SB<T extends boofcv.struct.image.ImageGray>

java.lang.Object

boofcv.alg.background.BackgroundModel<T>

boofcv.alg.background.BackgroundModelStationary<T>

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

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

All Implemented Interfaces:

BackgroundAlgorithmGaussian

public class BackgroundStationaryGaussian_SB<T extends boofcv.struct.image.ImageGray>
extends BackgroundStationaryGaussian<T>

Implementation of BackgroundMovingGaussian for ImageGray.

Field Summary

Fields

Modifier and Type	Field and Description
protected boofcv.core.image.GImageGray	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 and Description
BackgroundStationaryGaussian_SB(float learnRate, float threshold, java.lang.Class<T> imageType) Configurations background removal.

Method Summary

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

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

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

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

Field Detail

inputWrapper

protected boofcv.core.image.GImageGray inputWrapper

Constructor Detail

BackgroundStationaryGaussian_SB

public BackgroundStationaryGaussian_SB(float learnRate,
                                       float threshold,
                                       java.lang.Class<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. Try 10.

imageType - Type of input image.

Method Detail

reset

public void reset()

Description copied from class: BackgroundModel

Resets model to its original state

Specified by:

reset in class BackgroundModel<T extends boofcv.struct.image.ImageGray>

updateBackground

public void updateBackground(T frame)

Description copied from class: BackgroundModelStationary

Updates the background with new image information.

Specified by:

updateBackground in class BackgroundModelStationary<T extends boofcv.struct.image.ImageGray>

segment

public void segment(T frame,
                    boofcv.struct.image.GrayU8 segmented)

Description copied from class: BackgroundModelStationary

Invoke to use the background image to segment the current frame into background and foreground pixels

Specified by:

segment in class BackgroundModelStationary<T extends boofcv.struct.image.ImageGray>

Parameters:

frame - current image

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