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- Restate the basic global thresholding algorithm in Section 10.3 so that it uses the histogram of an image instead of the image itself.Q1 Suppose an image has a line having three points with (x,y) coordinates (1,2), (2,3), and (3,4) (assume the image coordinates starts from (0,0)). What will these points be in the Hough space (m, b)? Draw them in Hough space with exact coordinates mentioned, where (m, b) are the parameters representing the slope and intercept of the line. What information do you get from the resultant Hough space?You will be given a picture of size 64 x 128. Extract HOG descriptor with 8-pixel interval both in x and y axes. Compute similarity of two other images. Just compute the Euclidean distance between two histograms. Do not use OpenCV functions other than reading and saving images
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- """You are given an n x n 2D mat representing an image. Rotate the image by 90 degrees (clockwise). Follow up:Could you do this in-place?""" # clockwise rotate# first reverse up to down, then swap the symmetry# 1 2 3 7 8 9 7 4 1# 4 5 6 => 4 5 6 => 8 5 2# 7 8 9 1 2 3 9 6 3 def rotate(mat): if not mat: return mat mat.reverse() for i in range(len(mat)): for j in range(i): mat[i][j], mat[j][i] = mat[j][i], mat[i][j] return mat if __name__ == "__main__": mat = [[1, 2, 3], [4, 5, 6], [7, 8, 9]] print(mat) rotate(mat) print(mat).Consider the following FDS: the FDS are in the image which is attached below a.Identifythe FDs that violate 2NF. b.Identifythe FDs that violate 3NF. c.Find the canonical cover of above FDsSuppose a line segment starts at (x0, y0) and ends at (x1, y1) where, x0, y0, x1 and y1 are sequentially the first, second, third and fourth pair of digits from the left in your student ID. STUDENT ID: 21341040 Q:- Simulate the midpoint line drawing algorithm to find the first four intermediary pixels of this line after (x0, y0); or, all of them if the line reaches (x1, y1) in less than four pixels.
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