machinevisiontoolbox.ImageSpatial.Kernel.Sobel

classmethod Kernel.Sobel()[source]

Sobel edge detector

Returns:

3 x 3 Sobel kernel

Return type:

Kernel

Return the Sobel kernel for horizontal gradient

\[\begin{split}\mathbf{K} = \frac{1}{8} \begin{bmatrix} 1 & 0 & -1 \\ 2 & 0 & -2 \\ 1 & 0 & -1 \end{bmatrix}\end{split}\]

Example:

>>> from machinevisiontoolbox import Kernel
>>> Kernel.Sobel()
<machinevisiontoolbox.ImageSpatial.Kernel object at 0x7fa39d5552b0>
Note:

  • This kernel is an effective vertical-edge detector

  • The y-derivative (horizontal-edge) kernel is K.T

References:

  • Robotics, Vision & Control for Python, Section 11.5.1.3, P. Corke, Springer 2023.

Seealso:

DGauss