Gaussian Blur

Class: NodeSimpleGaussian

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Computes the smoothing of an image by convolution with a Gaussian kernel. This node uses two ITK filters depending on the selected algorithm: SmoothingRecursive or Discrete. If any dimension of the input matrix is <4, the Discrete algorithm must used.

Example workflows

Denoising filters example workflow

Inputs

Image

Input image.

Type: Image4DFloat, Required, Single

Outputs

Output

Resulting image.

Type: Image4DFloat

Settings

Algorithm Selection

Sets the algorithm to use for the filter.

Values: SmoothingRecursive, Discrete

Sigma Number

Set Sigma value. Sigma is measured in the units of image spacing.

References

  1. SmoothingRecursiveGaussianImageFilter in SimpleITK
  2. DiscreteGaussianImageFilter in SimpleITK
  3. Gaussian Blur on Wikipedia

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