Class BackgroundStationaryGaussian<T extends ImageBase<T>>

All Implemented Interfaces:
Direct Known Subclasses:
BackgroundStationaryGaussian_IL, BackgroundStationaryGaussian_IL_MT, BackgroundStationaryGaussian_PL, BackgroundStationaryGaussian_PL_MT, BackgroundStationaryGaussian_SB, BackgroundStationaryGaussian_SB_MT

public abstract class BackgroundStationaryGaussian<T extends ImageBase<T>> extends BackgroundModelStationary<T> implements BackgroundAlgorithmGaussian

Implementation of BackgroundAlgorithmGaussian for stationary images.

See Also:
  • Field Details

    • learnRate

      protected float learnRate
      Specifies how fast it will adapt. 0 to 1, inclusive. 0 = static 1.0 = instant.
    • threshold

      protected float threshold
      Threshold for classifying a pixel as background or not. This threshold is applied to the computed Mahalanobis from the distribution.
    • initialVariance

      protected float initialVariance
      The initial variance assigned to a new pixel. Larger values to reduce false positives due to under sampling
    • minimumDifference

      protected float minimumDifference
  • Constructor Details

    • BackgroundStationaryGaussian

      protected BackgroundStationaryGaussian(float learnRate, float threshold, ImageType<T> imageType)
      See class documentation for parameters definitions.
      learnRate - Specifies how quickly the background is updated Try 0.05
      threshold - Threshold for background. ≥ 0. Try 10
      imageType - Type of input image