skimage 0.17.2

ParametersReturnsBackRef
sato(image, sigmas=range(1, 10, 2), black_ridges=True, mode=None, cval=0)

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 eigenvectors of the Hessian to compute the similarity of an image region to tubes, according to the method described in .

Parameters

image : (N, M[, P]) ndarray

Array with input image data.

sigmas : iterable of floats, optional

Sigmas used as scales of filter.

black_ridges : boolean, optional

When True (the default), the filter detects black ridges; when False, it detects white ridges.

mode : {'constant', 'reflect', 'wrap', 'nearest', 'mirror'}, optional

How to handle values outside the image borders.

cval : float, optional

Used in conjunction with mode 'constant', the value outside the image boundaries.

Returns

out : (N, M[, P]) ndarray

Filtered image (maximum of pixels across all scales).

Filter an image with the Sato tubeness filter.

See Also

frangi
hessian
meijering

Examples

See :

Back References

The following pages refer to to this document either explicitly or contain code examples using this.

skimage.filters.ridges.frangi skimage.filters.ridges.hessian skimage.filters.ridges.meijering

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