(a) Show how first and second derivative 1D filter kernels can be derived from Taylor series expansion.
(b) Show how the second derivative kernel can be obtained from the first derivative kernel.
(c) Give a mathematical definition of the Laplacian of Gaussian filter (aka Mexican hat).
(d) Explain what makes the Laplacian of Gaussian a better choice than just the Laplacian.