Simulate the process of chain detection by the method of "hysteresis thresholds" for the edge image below. Assume the following thresholds: lower T = 20, upper To= 32, T2 = 30. The edge orientation number ONUM = 32. yix 1: (s,r) 2 3 4 1 21,8 22,8 11, 10 6, 12 2 30,8 34,8 35,9 20, 10 3 6, 11 37, 8 36, 9 33, 10 4 13, 14 12, 15 20,8 30, 10 5 12, 13 12, 10 11, 7 12,8 UN Output data: 1) Chain image with segment indices starting from 1. 2) Every segment has a start edge and an end edge. 3) Every edge element has a successor element (or zero). Simulate the process of chain detection by the method of "hysteresis thresholds" for the edge image below. Assume the following thresholds: lower T = 20, upper To= 32, T2 = 30. The edge orientation number ONUM = 32. yix 1: (s,r) 2 3 4 1 21,8 22,8 11, 10 6, 12 2 30,8 34,8 35,9 20, 10 3 6, 11 37, 8 36, 9 33, 10 4 13, 14 12, 15 20,8 30, 10 5 12, 13 12, 10 11, 7 12,8 UN Output data: 1) Chain image with segment indices starting from 1. 2) Every segment has a start edge and an end edge. 3) Every edge element has a successor element (or zero)