`skimage.measure._moments:inertia_tensor_eigvals`

source: /dev/scikit-image/src/skimage/measure/_moments.py :473

Signature

   def     inertia_tensor_eigvals (    image    ,    mu    =  None   ,    T    =  None   ,  * ,     spacing    =  None     )

Summary

Compute the eigenvalues of the inertia tensor of the image.

Extended Summary

The inertia tensor measures covariance of the image intensity along the image axes. (See inertia_tensor.) The relative magnitude of the eigenvalues of the tensor is thus a measure of the elongation of a (bright) object in the image.

Parameters

image : array: The input image.
mu : array, optional: The pre-computed central moments of image.
T : array, shape ``(image.ndim, image.ndim)``: The pre-computed inertia tensor. If T is given, mu and image are ignored.
spacing : tuple of float, shape (ndim,): The pixel spacing along each axis of the image.

Returns

eigvals : list of float, length ``image.ndim``: The eigenvalues of the inertia tensor of image, in descending order.

Notes

Computing the eigenvalues requires the inertia tensor of the input image. This is much faster if the central moments (mu) are provided, or, alternatively, one can provide the inertia tensor (T) directly.

Aliases

skimage.measure.inertia_tensor_eigvals