medpy.features.intensity.gaussian_gradient_magnitude

medpy.features.intensity.gaussian_gradient_magnitude(image, sigma=5, voxelspacing=None, mask=slice(None, None, None))

Computes the gradient magnitude (edge-detection) of the supplied image using gaussian derivates and returns the intensity values.

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).

sigmanumber or sequence of numbers

Standard deviation for Gaussian kernel. The standard deviations of the Gaussian filter are 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:

gaussian_gradient_magnitudendarray

The gaussian gradient magnitude of the supplied image.