This is documentation for an old release of SciPy (version 0.19.1). Read this page in the documentation of the latest stable release (version 1.14.1).
scipy.ndimage.sobel¶
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scipy.ndimage.
sobel
(input, axis=-1, output=None, mode='reflect', cval=0.0)[source]¶ Calculate a Sobel filter.
Parameters: input : array_like
Input array to filter.
axis : int, optional
The axis of input along which to calculate. Default is -1.
output : array, optional
The output parameter passes an array in which to store the filter output. Output array should have different name as compared to input array to avoid aliasing errors.
mode : str or sequence, optional
The mode parameter determines how the array borders are handled. Valid modes are {‘reflect’, ‘constant’, ‘nearest’, ‘mirror’, ‘wrap’}. cval is the value used when mode is equal to ‘constant’. A list of modes with length equal to the number of axes can be provided to specify different modes for different axes. Default is ‘reflect’
cval : scalar, optional
Value to fill past edges of input if mode is ‘constant’. Default is 0.0
Examples
>>> from scipy import ndimage, misc >>> import matplotlib.pyplot as plt >>> fig = plt.figure() >>> plt.gray() # show the filtered result in grayscale >>> ax1 = fig.add_subplot(121) # left side >>> ax2 = fig.add_subplot(122) # right side >>> ascent = misc.ascent() >>> result = ndimage.sobel(ascent) >>> ax1.imshow(ascent) >>> ax2.imshow(result) >>> plt.show()