medpy.features.intensity.median

medpy.features.intensity.median(image, size=5, voxelspacing=None, mask=slice(None, None, None))

Computes the multi-dimensional median filter and returns the resulting values per voxel.

Optionally a binary mask can be supplied to select the voxels for which the feature should be extracted.

Parameters:

imagearray_like or list/tuple of array_like

A single image or a list/tuple of images (for multi-spectral case).

sizenumber or sequence of numbers

Size of the structuring element. Can be given given for each axis as a sequence, or as a single number, in which case it is equal for all axes. Note that the voxel spacing of the image is taken into account, the given values are treated as mm.

voxelspacingsequence of floats

The side-length of each voxel.

maskarray_like

A binary mask for the image.

Returns:

medianndarray

Multi-dimesnional median filtered version of the input images.