`skimage.filters.edges:sobel`

source: /dev/scikit-image/src/skimage/filters/edges.py :199

Signature

   def     sobel (    image    ,    mask    =  None   ,  * ,     axis    =  None   ,    mode    =  reflect   ,    cval    =  0.0     )

Summary

Find edges in an image using the Sobel filter.

Parameters

image : array

The input image.

mask : array of bool, optional

Clip the output image to this mask. (Values where mask=0 will be set to 0.)

axis : int or sequence of int, optional

Compute the edge filter along this axis. If not provided, the edge magnitude is computed. This is defined as

sobel_mag = np.sqrt(sum([sobel(image, axis=i)**2
                         for i in range(image.ndim)]) / image.ndim)

The magnitude is also computed if axis is a sequence.

mode : str or sequence of str, optional

The boundary mode for the convolution. See scipy.ndimage.convolve for a description of the modes. This can be either a single boundary mode or one boundary mode per axis.

cval : float, optional

When mode is 'constant', this is the constant used in values outside the boundary of the image data.

Returns

output : array of float: The Sobel edge map.

Examples

from skimage import data
from skimage import filters
camera = data.camera()
edges = filters.sobel(camera)

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Aliases

skimage.filters.sobel