Mastering Computer Vision with TensorFlow 2.x

Image gradient

The image gradient calculates the change in pixel intensity in a given direction. The change in pixel intensity is obtained by performing a convolution operation on an image with a kernel, as shown here:

The kernel is chosen such that the two extreme rows or columns have opposite signs (positive and negative) so it produces a difference operator when multiplying and summing across the image pixel. Let's take a look at the following example:

• The horizontal kernel:

• The vertical kernel:

The image gradient described here is ...