Class PyramidDiscreteAverage<T extends ImageBase<T>>

java.lang.Object
boofcv.struct.pyramid.ImagePyramidBase<T>
boofcv.struct.pyramid.PyramidDiscrete<T>
boofcv.alg.transform.pyramid.PyramidDiscreteAverage<T>
All Implemented Interfaces:
ImagePyramid<T>

public class PyramidDiscreteAverage<T extends ImageBase<T>>
extends PyramidDiscrete<T>
Creates an image pyramid by down sampling square regions using AverageDownSampleOps.
  • Constructor Details

    • PyramidDiscreteAverage

      public PyramidDiscreteAverage​(ImageType<T> imageType, boolean saveOriginalReference, @Nullable @Nullable ConfigDiscreteLevels configLayers)
      Parameters:
      imageType - Type of image processed
      saveOriginalReference - If a reference to the full resolution image should be saved instead of copied. Set to false if you don't know what you are doing.
      configLayers - Specifies how the levels are computed
    • PyramidDiscreteAverage

      protected PyramidDiscreteAverage​(PyramidDiscreteAverage<T> orig)
  • Method Details

    • process

      public void process​(T input)
      Description copied from interface: ImagePyramid
      Constructs the image pyramid given the input image.
    • getSampleOffset

      public double getSampleOffset​(int layer)
      The center of the sampling kernel is 1/2 the square region's width
      Parameters:
      layer - Layer in the pyramid
      Returns:
      offset
    • getSigma

      public double getSigma​(int layer)
      Description copied from interface: ImagePyramid
      Returns the scale-space scale for the specified layer. This scale is equivalent amount of Gaussian blur applied to the input image. If Gaussian blur is not applied to each layer then an approximation should be returned.
      Parameters:
      layer - Layer in the pyramid
      Returns:
      Equivalent sigma for Gaussian blur.
    • copyStructure

      public ImagePyramid<T> copyStructure()
      Description copied from interface: ImagePyramid
      Creates a copy of the pyramids structure but not the pixel data