test_cases/extract_surface_measure_area.ipynb

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    "def extract_surface_measure_area(binary_volume_image):\n",
    "    \"\"\"\n",
    "    Take a 3D binary_volume_image, extracts the surface of the white (voxel value != 0) object \n",
    "    and returns the surface area of the object.\n",
    "    \"\"\"\n",
    "    import vedo\n",
    "    volume = vedo.Volume(binary_volume_image)\n",
    "    iso_surface = volume.isosurface()\n",
    "    return iso_surface.area()"
   ]
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    "def check(candidate):\n",
    "    import numpy as np\n",
    "    binary_volume_image = np.asarray([\n",
    "        [\n",
    "            [0,0,0,0],\n",
    "            [0,0,0,0],\n",
    "            [0,0,0,0],\n",
    "            [0,0,0,0],\n",
    "        ],[\n",
    "            [0,0,0,0],\n",
    "            [0,1,1,0],\n",
    "            [0,1,1,0],\n",
    "            [0,0,0,0],\n",
    "        ],[\n",
    "            [0,0,0,0],\n",
    "            [0,1,1,0],\n",
    "            [0,1,1,0],\n",
    "            [0,0,0,0],\n",
    "        ],[\n",
    "            [0,0,0,0],\n",
    "            [0,0,0,0],\n",
    "            [0,0,0,0],\n",
    "            [0,0,0,0],\n",
    "        ],\n",
    "    ])\n",
    "    assert abs(candidate(binary_volume_image) - 20) < 1\n",
    "\n",
    "    binary_volume_image = np.zeros((3,3,3))\n",
    "    binary_volume_image[1,1,1] = 1\n",
    "    assert abs(candidate(binary_volume_image) - 3) < 1\n"
   ]
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   "cell_type": "code",
   "execution_count": 3,
   "id": "fc5eb545-7cba-4a9b-a359-d3e91aa5a086",
   "metadata": {},
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   "source": [
    "check(extract_surface_measure_area)"
   ]
  },
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   "cell_type": "code",
   "execution_count": null,
   "id": "9135b54e-0dc0-45e6-9f9a-e66d92f3700d",
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   "source": []
  }
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