11.52. ITK Median Image Filter

Replaces each pixel with the median of its neighborhood — removes speckle/salt-and-pepper noise while keeping edges sharp.

Group (Subgroup)

ITKSmoothing (Smoothing)

Description

This filter replaces each pixel with the median value of the pixels in a neighborhood around it. The median is a nonlinear statistic that is not pulled toward extreme values, so a median filter removes isolated noise spikes (salt-and-pepper / shot noise) much more cleanly than a mean/Gaussian blur, and it preserves sharp edges better because it does not average across them.

Parameter Guidance

  • Radius — the neighborhood half-width per axis, in pixels. The neighborhood spans 2 × Radius + 1 pixels along each axis (so a radius of 1 gives a 3×3×3 window). Larger radii remove more noise but blur fine detail; typical values are 1-2.

Required Input Sources

Operates on any scalar image — typically from Read Image, Read Images [3D Stack], or the output of a prior ITK image filter.

Input Parameter(s)

Parameter Name

Parameter Type

Parameter Notes

Description

Radius

Vector of UInt32 Values

Order=X,Y,Z

Radius Dimensions XYZ

Input Cell Data

Parameter Name

Parameter Type

Parameter Notes

Description

Image Geometry

Geometry Selection

Image

Select the Image Geometry Group from the DataStructure.

Input Cell Data

Array Selection

Allowed Types: int8, uint8, int16, uint16, int32, uint32, int64, uint64, float32, float64

The image data that will be processed by this filter.

Output Cell Data

Parameter Name

Parameter Type

Parameter Notes

Description

Output Cell Data

DataObjectName

The result of the processing will be stored in this Data Array inside the same group as the input data.

Example Pipelines

DREAM3D-NX Help

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