Trial_maxfilter_minfilter.ipynb

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      "TST ARRAY\n",
      "[[ 40  41  42  43  44  45  46  47  48  49  50  51  52  53  54  55  56  57\n",
      "   58  59]\n",
      " [120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137\n",
      "  138 139]\n",
      " [160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177\n",
      "  178 179]\n",
      " [100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117\n",
      "  118 119]\n",
      " [ 80  81  82  83  84  85  86  87  88  89  90  91  92  93  94  95  96  97\n",
      "   98  99]\n",
      " [ 60  61  62  63  64  65  66  67  68  69  70  71  72  73  74  75  76  77\n",
      "   78  79]\n",
      " [  0   1   2   3   4   5   6   7   8   9  10  11  12  13  14  15  16  17\n",
      "   18  19]\n",
      " [180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197\n",
      "  198 199]\n",
      " [ 20  21  22  23  24  25  26  27  28  29  30  31  32  33  34  35  36  37\n",
      "   38  39]\n",
      " [140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157\n",
      "  158 159]]\n",
      "===\n",
      "MAX FILTER APPLIED:\n",
      "[[  0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0\n",
      "    0   0]\n",
      " [  0   0   0   0   0 125   0   0   0   0   0 131   0   0   0   0   0 137\n",
      "    0 139]\n",
      " [  0   0   0   0   0 165   0   0   0   0   0 171   0   0   0   0   0 177\n",
      "    0 179]\n",
      " [  0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0\n",
      "    0   0]\n",
      " [  0   0   0   0   0  85   0   0   0   0   0  91   0   0   0   0   0  97\n",
      "    0  99]\n",
      " [  0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0\n",
      "    0   0]\n",
      " [  0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0\n",
      "    0   0]\n",
      " [  0   0   0   0   0 185   0   0   0   0   0 191   0   0   0   0   0 197\n",
      "    0 199]\n",
      " [  0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0\n",
      "    0   0]\n",
      " [  0   0   0   0   0 145   0   0   0   0   0 151   0   0   0   0   0 157\n",
      "    0 159]]\n",
      "MIN FILTER APPLIED:\n",
      "[[  0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0\n",
      "    0   0]\n",
      " [  0   0   0   0   0 125   0   0   0   0   0 131   0   0   0   0   0 137\n",
      "    0 139]\n",
      " [  0   0   0   0   0 165   0   0   0   0   0 171   0   0   0   0   0 177\n",
      "    0 179]\n",
      " [  0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0\n",
      "    0   0]\n",
      " [  0   0   0   0   0  85   0   0   0   0   0  91   0   0   0   0   0  97\n",
      "    0  99]\n",
      " [  0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0\n",
      "    0   0]\n",
      " [  0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0\n",
      "    0   0]\n",
      " [  0   0   0   0   0 185   0   0   0   0   0 191   0   0   0   0   0 197\n",
      "    0 199]\n",
      " [  0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0\n",
      "    0   0]\n",
      " [  0   0   0   0   0 145   0   0   0   0   0 151   0   0   0   0   0 157\n",
      "    0 159]]\n",
      "===\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "# Trial for Maaax filter and min filter\n",
    "tst_array = np.arange(200).reshape(10, 20)\n",
    "np.random.shuffle(tst_array)\n",
    "print(\"TST ARRAY\")\n",
    "print(tst_array)\n",
    "print(\"===\")\n",
    "max_filter_size = [2, 6]\n",
    "for x_init in range(0, tst_array.shape[0], max_filter_size[0]):\n",
    "    for y_init in range(0, tst_array.shape[1], max_filter_size[1]):\n",
    "        subarr = tst_array[x_init:(x_init + max_filter_size[0]), y_init:(y_init + max_filter_size[1])]\n",
    "        mx = np.amax(subarr)\n",
    "        tst_array[x_init:(x_init + max_filter_size[0]), y_init:(y_init + max_filter_size[1])] = np.where(subarr != mx, 0, subarr)\n",
    "print(\"MAX FILTER APPLIED:\")\n",
    "print(tst_array)\n",
    "min_filter_size = [3, 3]\n",
    "for x_init in range(0, tst_array.shape[0], min_filter_size[0]):\n",
    "    for y_init in range(0, tst_array.shape[1], min_filter_size[1]):\n",
    "        subarr = tst_array[x_init:(x_init + min_filter_size[0]), y_init:(y_init + min_filter_size[1])]\n",
    "        mn = np.amin(subarr)\n",
    "        tst_array[x_init:(x_init + min_filter_size[0]), y_init:(y_init + min_filter_size[1])] = np.where(subarr != mn, subarr, 0)\n",
    "print(\"MIN FILTER APPLIED:\")\n",
    "print(tst_array)\n",
    "print(\"===\")"
   ]
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