can you solve this question using backwared differences $[-11].$I will give you a matrix and I want from you to apply Backworkd differences $[-11]$ on it $,$ one of time with Ix and one with Iy $.$ the matrix is $4$x$4=73\mathrm{.}75106\mathrm{.}87113\mathrm{.}7583\mathrm{.}12101\mathrm{.}87153\mathrm{.}12150\mathrm{.}62118\mathrm{.}12110\mathrm{.}62160156\mathrm{.}25131\mathrm{.}2$I will give you a matrix and I want from you to apply Backworkd differences $[-11]$ on it $,$ one of time with Ix and one with Iy $.$ the matrix is $4$x$4=73\mathrm{.}75106\mathrm{.}87113\mathrm{.}7583\mathrm{.}12101\mathrm{.}87153\mathrm{.}12150\mathrm{.}62118\mathrm{.}12110\mathrm{.}62160156\mathrm{.}25131\mathrm{.}2585\mathrm{.}62116\mathrm{.}25121\mathrm{.}87103\mathrm{.}12$a$.$ Smooth the image with a Gaussian filter. $($as in part $1)$ i alradey solve it use my matrix up

b$.$ Compute gradient magnitude and direction.

c$.$ Perform non$-$maximum suppression to thin edges, given the following

direction matrix:

$*$Each angle represents the direction of edges relative to the pixel.

d$.$ Apply double thresholding to identify potential edges using $40$ and $85.($Use

edge tracking by hysteresis to finalize the detected edges$).$

Submission Requirements:

Detailed calculations for each step of the image processing techniques mentioned

above.

Ensure that the results are accurate, with no approximation required.please solve every step in details