skimage2.measure.inertia_tensor#
- skimage2.measure.inertia_tensor(image, mu=None, *, spacing=None)[source]#
Compute the inertia tensor of the input image.
- Parameters:
- imagearray
The input image.
- muarray, optional
The pre-computed central moments of
image. The inertia tensor computation requires the central moments of the image. If an application requires both the central moments and the inertia tensor (for example,skimage.measure.regionprops), then it is more efficient to pre-compute them and pass them to the inertia tensor call.- spacingtuple of float, shape (ndim,)
The pixel spacing along each axis of the image.
- Returns:
- Tarray, shape
(image.ndim, image.ndim) The inertia tensor of the input image. \(T_{i, j}\) contains the covariance of image intensity along axes \(i\) and \(j\).
- Tarray, shape
References
[2]Bernd Jähne. Spatio-Temporal Image Processing: Theory and Scientific Applications. (Chapter 8: Tensor Methods) Springer, 1993.
