Part A: Smooth, edge detect, feature extract $(85\%)1.$ For your first task you are going to build a number of basic standalone image$-$ processing programs using OpenCV and the Text Editor, where each program does the following $($replace YI with your own last$-$letter initials$3)$: Loads & displays an image door.jpeg $($see Canvas$)$ from the working directory Also displays an output image, as follows: a$)$ Program YI$\_$G performs a Gaussian smoothing filter $(4).$b$)$ Program YI$\_$S performs a Sobel edge detection filter $(4).$c$)$ Program YI$\_$C performs a Canny edge detection filter $(4).$d$)$ Program YI$\_$H performs a Standard Hough Line transform to extract straight edges $(4).$ The bracketed $()$ maximum marks above assume the following: YI$\_$S$,$ YI$\_$C and YI$\_$H should incorporate conversion to grayscale, and Gaussian smoothing, before edge detection. YI$\_$H should use Canny edge detection before finding straight edges.