What are derivatives in image processing?
Derivative filters provide a quantitative measurement for the rate of change in pixel brightness information present in a digital image.
How do you derive an image?
Image derivatives can be computed by using small convolution filters of size 2 × 2 or 3 × 3, such as the Laplacian, Sobel, Roberts and Prewitt operators. However, a larger mask will generally give a better approximation of the derivative and examples of such filters are Gaussian derivatives and Gabor filters.