skimage2.filters.sato#
- skimage2.filters.sato(image, sigmas=range(1, 10, 2), black_ridges=True, mode='reflect', cval=0)[source]#
Filter an image with the Sato tubeness filter.
This filter can be used to detect continuous ridges, e.g. tubes, wrinkles, rivers. It can be used to calculate the fraction of the whole image containing such objects.
Defined only for 2-D and 3-D images. Calculates the eigenvalues of the Hessian to compute the similarity of an image region to tubes, according to the method described in [1].
- Parameters:
- image(M, N[, P]) ndarray
Array with input image data.
- sigmasiterable of floats, optional
Sigmas used as scales of filter.
- black_ridgesbool, optional
When True (the default), the filter detects black ridges; when False, it detects white ridges.
- mode{âconstantâ, âreflectâ, âwrapâ, ânearestâ, âmirrorâ}, optional
How to handle values outside the image borders.
- cvalfloat, optional
Used in conjunction with mode âconstantâ, the value outside the image boundaries.
- Returns:
- out(M, N[, P]) ndarray
Filtered image (maximum of pixels across all scales).
References
[1]Sato, Y., Nakajima, S., Shiraga, N., Atsumi, H., Yoshida, S., Koller, T., âĶ, Kikinis, R. (1998). Three-dimensional multi-scale line filter for segmentation and visualization of curvilinear structures in medical images. Medical image analysis, 2(2), 143-168. DOI:10.1016/S1361-8415(98)80009-1
