Package boofcv.factory.background

Class ConfigBackgroundGaussian

java.lang.Object

boofcv.factory.background.BaseConfigBackground

boofcv.factory.background.ConfigBackgroundGaussian

All Implemented Interfaces:

Configuration, Serializable

public class ConfigBackgroundGaussian
extends BaseConfigBackground

Configuration for ConfigBackgroundGaussian.

See Also:

• Serialized Form

Field Summary

Fields

Modifier and Type	Field	Description
float	initialVariance	The initial variance assigned to a new pixel.
InterpolationType	interpolation	Specifies which interpolation it will use.
float	learnRate	Specifies how fast it will adapt to changes in the background.
float	minimumDifference	Minimum Euclidean distance between the mean background and observed pixel value for it to be considered moving.
float	threshold	Threshold for classifying a pixel as background or not.

Fields inherited from class boofcv.factory.background.BaseConfigBackground

unknownValue

Constructor Summary

Constructors

Constructor	Description
ConfigBackgroundGaussian()
ConfigBackgroundGaussian(float threshold)
ConfigBackgroundGaussian(float threshold, float learnRate)

Method Summary

Modifier and Type	Method	Description
void	checkValidity()	Checks to see if the configuration is valid.
ConfigBackgroundGaussian	setTo(ConfigBackgroundGaussian src)

Methods inherited from class boofcv.factory.background.BaseConfigBackground

setTo

Methods inherited from class java.lang.Object

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

Methods inherited from interface boofcv.struct.Configuration

serializeActiveFields, serializeInitialize

Field Details

learnRate

public float learnRate

Specifies how fast it will adapt to changes in the background. From 0 to 1, inclusive. 0 = static 1.0 = instant.

threshold

public float threshold

Threshold for classifying a pixel as background or not. This threshold is applied to the computed Mahalanobis from the distribution. An appropriate threshold will vary depending on the number of bands in the image. Start tuning at 12.

initialVariance

public float initialVariance

The initial variance assigned to a new pixel. Larger values to reduce false positives due to under sampling. Don't set to zero since that can cause divided by zero errors.

minimumDifference

public float minimumDifference

Minimum Euclidean distance between the mean background and observed pixel value for it to be considered moving. This value is automatically scaled for the number of bands in the image.

interpolation

public InterpolationType interpolation

Specifies which interpolation it will use. InterpolationType.BILINEAR or InterpolationType.NEAREST_NEIGHBOR recommended.

ONLY USED FOR MOVING BACKGROUNDS!

Constructor Details

ConfigBackgroundGaussian

public ConfigBackgroundGaussian(float threshold)

ConfigBackgroundGaussian

public ConfigBackgroundGaussian(float threshold,
 float learnRate)

ConfigBackgroundGaussian

public ConfigBackgroundGaussian()

Method Details

setTo

public ConfigBackgroundGaussian setTo(ConfigBackgroundGaussian src)

checkValidity

public void checkValidity()

Description copied from interface: Configuration

Checks to see if the configuration is valid. If it is invalid, throw an exception explaining what is incorrect.