machinevisiontoolbox.Image.gradients

Image.gradients(kernel=None, mode='same', border='reflect', bordervalue=0)

Compute horizontal and vertical gradients

Parameters:

  • kernel (2D ndarray, optional) – derivative kerne, defaults to Sobel

  • mode (str, optional) – option for convolution, see convolve, defaults to ‘same’

  • border (str, optional) – option for boundary handling, see convolve, defaults to ‘reflect’

  • bordervalue (scalar, optional) – padding value, , see convolve, defaults to 0

Returns:

gradient images

Return type:

Image, Image

Compute horizontal and vertical gradient images.

Example:

>>> from machinevisiontoolbox import Image
>>> img = Image.Read('monalisa.png', grey=True)
>>> Iu, Iv = img.gradients()
References:

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

Seealso:

Kernel