skimage2.feature.structure_tensor_eigenvalues#

skimage2.feature.structure_tensor_eigenvalues(A_elems)[source]#

Compute eigenvalues of structure tensor.

Parameters:

A_elemslist of ndarray: The upper-diagonal elements of the structure tensor, as returned by structure_tensor.

Returns:

ndarray: The eigenvalues of the structure tensor, in decreasing order. The eigenvalues are the leading dimension. That is, the coordinate [i, j, k] corresponds to the ith-largest eigenvalue at position (j, k).

See also

structure_tensor

Examples

>>> from _skimage2.feature import structure_tensor
>>> from _skimage2.feature import structure_tensor_eigenvalues
>>> square = np.zeros((5, 5))
>>> square[2, 2] = 1
>>> A_elems = structure_tensor(square, sigma=0.1, order='rc')
>>> structure_tensor_eigenvalues(A_elems)[0]
array([[0., 0., 0., 0., 0.],
       [0., 2., 4., 2., 0.],
       [0., 4., 0., 4., 0.],
       [0., 2., 4., 2., 0.],
       [0., 0., 0., 0., 0.]])