skimage2.measure.inertia_tensor_eigvals#
- skimage2.measure.inertia_tensor_eigvals(image, mu=None, T=None, *, spacing=None)[source]#
Compute the eigenvalues of the inertia tensor of the image.
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:
- imagearray
The input image.
- muarray, optional
The pre-computed central moments of
image.- Tarray, shape
(image.ndim, image.ndim) The pre-computed inertia tensor. If
Tis given,muandimageare ignored.- spacingtuple of float, shape (ndim,)
The pixel spacing along each axis of the image.
- Returns:
- eigvalslist of float, length
image.ndim The eigenvalues of the inertia tensor of
image, in descending order.
- eigvalslist of float, length
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.
