encountered a lot of confusion when learning computer vision, Thanks a lot for your time

ps: This is not for real marks, Mock only

1. Question 1: (a) Show the resulting image obtained after convolution of the below original image with the filter (-1,0,1) in the horizontal direction. 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 0 0 0 0 0 0 1 1 1 1 0 0 0 0 0 0 1* 1 1* 0 0 0 0 0 0 1 1 1 1 0 0 0 0 0 0 1 11 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 (5 marks) (b) Compute gradient magnitude and gradient orientation at pixels (3,4), (5, 4) and (5,7) (marked with * in the image) when applying filters (-1,0, 1) and (-1,0, 1]" at those points in horizontal and vertical directions respectively. (5 marks) (c) What is the aim of the non-maximum suppression step in Canny edge detection method and how to do it? (5 marks) (d) In Harris corner detection algorithm, to determine whether or not there is a potential corner at a pixel in the image, we consider the second moment matrix M which is computed over a region around the pixel. The matrix M is calculated as below. xy M = wx,y) : (x,y) w(x,y)_(x,y)),(x,y) ) X, w(x,y)_(x, y)),(x,y) w(x, y)I}(x, y) -X. where I, Iy are derivatives in the horizontal and vertical directions, respectively; w is a Gaussian window or a box window. Present how to determine whether or not there is a potential corner at the pixel using matrix M. 1. Question 1: (a) Show the resulting image obtained after convolution of the below original image with the filter (-1,0,1) in the horizontal direction. 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 0 0 0 0 0 0 1 1 1 1 0 0 0 0 0 0 1* 1 1* 0 0 0 0 0 0 1 1 1 1 0 0 0 0 0 0 1 11 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 (5 marks) (b) Compute gradient magnitude and gradient orientation at pixels (3,4), (5, 4) and (5,7) (marked with * in the image) when applying filters (-1,0, 1) and (-1,0, 1]" at those points in horizontal and vertical directions respectively. (5 marks) (c) What is the aim of the non-maximum suppression step in Canny edge detection method and how to do it? (5 marks) (d) In Harris corner detection algorithm, to determine whether or not there is a potential corner at a pixel in the image, we consider the second moment matrix M which is computed over a region around the pixel. The matrix M is calculated as below. xy M = wx,y) : (x,y) w(x,y)_(x,y)),(x,y) ) X, w(x,y)_(x, y)),(x,y) w(x, y)I}(x, y) -X. where I, Iy are derivatives in the horizontal and vertical directions, respectively; w is a Gaussian window or a box window. Present how to determine whether or not there is a potential corner at the pixel using matrix M