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Below is a matrix of a 10x10 image. Using a 3x3 kernel, apply Laplace (4-neighborhood absolute result) and alpha fine-tuned average filter (as d =
Below is a matrix of a 10x10 image. Using a 3x3 kernel, apply Laplace (4-neighborhood absolute result) and alpha fine-tuned average filter (as d = 2) to the corresponding pixel of the image using the i and j indices given in the table.
Spatial Filtering: Order-Statistic Filters Alpha-trimmed mean filter 1 f(x,y) {8,(s,t)} mn - d (5,1)eSxy We delete the d / 2 lowest and the d / 2 highest intensity values of g(s,t) in the neighborhood Sv. Let g, (s,t) represent the remaining mn-d pixels. 0 1 2 3 4 5 6 7 8 9 83 242 121 152 249 218 149 16 222 185 165 245 35 126 158 153 106 201 3 21 2 106 99 39 65 185 53 105 243 167 200 3 13 111 141 146 125 117 29 121 174 143 4 97 53 96 102 228 7 196 70 112 161 5 44 200 174 252 240 120 76 166 48 97 6 18 86 146 113 12 192 166 160 208 42 7 34 78 54 39 54 76 87 31 29 131 8 128 137 98 84 74 183 39 73 220 204 9 107 152 106 127 79 28 136 88 229 19 1 (sabr) (stun) yeinlik 1 245
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