05a_surface reconstruction/smoothing_and_simplifying_surfaces.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "da6d5a51-f8ac-4865-893e-10186189faa1",
   "metadata": {},
   "source": [
    "# Smoothing and simplifying surfaces\n",
    "\n",
    "When working with surface meshes, it is a common task to simplify these meshes to enable their analysis. Also smoothing them might be necessary, for example to avoid measuring voxel-lated structures."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "2c16dfdc-32ff-43e9-a9df-56f0deecaf10",
   "metadata": {},
   "outputs": [],
   "source": [
    "import napari_process_points_and_surfaces as nppas\n",
    "import vedo"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "47202a21-887b-46a7-ad4e-eadbcf5e965d",
   "metadata": {},
   "source": [
    "Our starting point is the simulated branchoid we saved to disk earlier in this chapter."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "12570e79-425d-4389-b9d0-31bcdd59144b",
   "metadata": {},
   "outputs": [
    {
     "data": {
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\"></img>\n",
       "</td>\n",
       "<td style=\"text-align: center; vertical-align: top;\">\n",
       "<b><a href=\"https://github.com/haesleinhuepf/napari-process-points-and-surfaces\" target=\"_blank\">nppas.SurfaceTuple</a></b><br/>\n",
       "<table>\n",
       "<tr><td>origin (z/y/x)</td><td>[0.&nbsp;0.&nbsp;0.]</td></tr>\n",
       "<tr><td>center of mass(z/y/x)</td><td>50.000,46.575,42.589</td></tr>\n",
       "<tr><td>scale(z/y/x)</td><td>1.000,1.000,1.000</td></tr>\n",
       "<tr><td>bounds (z/y/x)</td><td>25.500...74.500<br/>2.500...88.500<br/>2.500...83.500</td></tr>\n",
       "<tr><td>average size</td><td>31.277</td></tr>\n",
       "<tr><td>number of vertices</td><td>19040</td></tr>\n",
       "<tr><td>number of faces</td><td>38076</td></tr>\n",
       "\n",
       "</table>\n",
       "\n",
       "</td>\n",
       "</tr>\n",
       "</table>"
      ],
      "text/plain": [
       "(array([[25.5, 44. , 47. ],\n",
       "        [26. , 43.5, 47. ],\n",
       "        [26. , 44. , 46.5],\n",
       "        ...,\n",
       "        [74.5, 56. , 51. ],\n",
       "        [74.5, 56. , 52. ],\n",
       "        [74.5, 56. , 53. ]], dtype=float32),\n",
       " array([[    2,     1,     0],\n",
       "        [    4,     3,     0],\n",
       "        [    4,     0,     1],\n",
       "        ...,\n",
       "        [19038, 18870, 18872],\n",
       "        [19038, 18872, 19039],\n",
       "        [19039, 18872, 18852]], dtype=int64))"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mesh = vedo.load(\"data/branchoid.ply\")\n",
    "surface = nppas.to_napari_surface_data(mesh)\n",
    "surface"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9d0c79fc-2dbe-4064-9e1c-d6df28434d9a",
   "metadata": {},
   "source": [
    "## Smoothing meshes\n",
    "The circular structures you see in this dataset result from the origin of the data: The surface was created from a binary image. The lines correspond to voxel edges. Measuring the surface area would be misleading. Thus, we need to smooth the dataset before doing quantitative measurements."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "232c0325-2881-4211-9706-a349ae57bbef",
   "metadata": {
    "pycharm": {
     "is_executing": true
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<tr>\n",
       "<td>\n",
       "<img 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\"></img>\n",
       "</td>\n",
       "<td style=\"text-align: center; vertical-align: top;\">\n",
       "<b><a href=\"https://github.com/haesleinhuepf/napari-process-points-and-surfaces\" target=\"_blank\">nppas.SurfaceTuple</a></b><br/>\n",
       "<table>\n",
       "<tr><td>origin (z/y/x)</td><td>[0.&nbsp;0.&nbsp;0.]</td></tr>\n",
       "<tr><td>center of mass(z/y/x)</td><td>50.000,46.578,42.588</td></tr>\n",
       "<tr><td>scale(z/y/x)</td><td>1.000,1.000,1.000</td></tr>\n",
       "<tr><td>bounds (z/y/x)</td><td>25.347...74.653<br/>2.328...88.704<br/>2.334...83.678</td></tr>\n",
       "<tr><td>average size</td><td>31.345</td></tr>\n",
       "<tr><td>number of vertices</td><td>19040</td></tr>\n",
       "<tr><td>number of faces</td><td>38076</td></tr>\n",
       "\n",
       "</table>\n",
       "\n",
       "</td>\n",
       "</tr>\n",
       "</table>"
      ],
      "text/plain": [
       "(array([[25.88009699, 44.17844709, 46.40910244],\n",
       "        [25.98806838, 43.64703177, 46.83412514],\n",
       "        [25.66812895, 44.28466328, 47.22995242],\n",
       "        ...,\n",
       "        [74.3742686 , 55.8701694 , 50.97585993],\n",
       "        [74.37237742, 55.84979165, 51.97539921],\n",
       "        [74.33187105, 55.63217582, 53.02566904]]),\n",
       " array([[    0,     1,     2],\n",
       "        [    3,     4,     2],\n",
       "        [    3,     2,     1],\n",
       "        ...,\n",
       "        [19038, 18871, 18873],\n",
       "        [19038, 18873, 19039],\n",
       "        [19039, 18873, 18852]], dtype=int64))"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "smoothed_surface = nppas.smooth_surface(surface)\n",
    "smoothed_surface"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "57988c4d-aff9-42a5-b09e-faac00c925a7",
   "metadata": {},
   "source": [
    "We can also modify how fine the smoothing is applied."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "93452c0d-7953-44cf-9976-a26af0cd75e7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<tr>\n",
       "<td>\n",
       "<img 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\"></img>\n",
       "</td>\n",
       "<td style=\"text-align: center; vertical-align: top;\">\n",
       "<b><a href=\"https://github.com/haesleinhuepf/napari-process-points-and-surfaces\" target=\"_blank\">nppas.SurfaceTuple</a></b><br/>\n",
       "<table>\n",
       "<tr><td>origin (z/y/x)</td><td>[0.&nbsp;0.&nbsp;0.]</td></tr>\n",
       "<tr><td>center of mass(z/y/x)</td><td>50.000,46.577,42.588</td></tr>\n",
       "<tr><td>scale(z/y/x)</td><td>1.000,1.000,1.000</td></tr>\n",
       "<tr><td>bounds (z/y/x)</td><td>25.360...74.640<br/>2.296...88.797<br/>2.302...83.693</td></tr>\n",
       "<tr><td>average size</td><td>31.349</td></tr>\n",
       "<tr><td>number of vertices</td><td>19040</td></tr>\n",
       "<tr><td>number of faces</td><td>38076</td></tr>\n",
       "\n",
       "</table>\n",
       "\n",
       "</td>\n",
       "</tr>\n",
       "</table>"
      ],
      "text/plain": [
       "(array([[25.8768763 , 44.27774157, 46.33060559],\n",
       "        [25.97148684, 43.71970267, 46.73281604],\n",
       "        [25.7233675 , 44.44366472, 47.2341107 ],\n",
       "        ...,\n",
       "        [74.32864433, 55.8205039 , 50.87774576],\n",
       "        [74.31066106, 55.73804382, 51.8874196 ],\n",
       "        [74.2766325 , 55.50889046, 52.96091274]]),\n",
       " array([[    0,     1,     2],\n",
       "        [    3,     4,     2],\n",
       "        [    3,     2,     1],\n",
       "        ...,\n",
       "        [19038, 18871, 18873],\n",
       "        [19038, 18873, 19039],\n",
       "        [19039, 18873, 18852]], dtype=int64))"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "smoothed_surface2 = nppas.smooth_surface(surface, pass_band=0.01)\n",
    "smoothed_surface2"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5b0d79a7-5f3a-411c-b5d1-cc9aceb80e1f",
   "metadata": {},
   "source": [
    "The parameters also allow to remove local structure, in particular the number of iterations."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "d346b286-0c97-4030-bb61-2e756c8355b9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<tr>\n",
       "<td>\n",
       "<img 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\"></img>\n",
       "</td>\n",
       "<td style=\"text-align: center; vertical-align: top;\">\n",
       "<b><a href=\"https://github.com/haesleinhuepf/napari-process-points-and-surfaces\" target=\"_blank\">nppas.SurfaceTuple</a></b><br/>\n",
       "<table>\n",
       "<tr><td>origin (z/y/x)</td><td>[0.&nbsp;0.&nbsp;0.]</td></tr>\n",
       "<tr><td>center of mass(z/y/x)</td><td>50.013,46.548,42.623</td></tr>\n",
       "<tr><td>scale(z/y/x)</td><td>1.000,1.000,1.000</td></tr>\n",
       "<tr><td>bounds (z/y/x)</td><td>27.575...72.373<br/>6.941...82.192<br/>7.009...79.894</td></tr>\n",
       "<tr><td>average size</td><td>29.331</td></tr>\n",
       "<tr><td>number of vertices</td><td>19040</td></tr>\n",
       "<tr><td>number of faces</td><td>38076</td></tr>\n",
       "\n",
       "</table>\n",
       "\n",
       "</td>\n",
       "</tr>\n",
       "</table>"
      ],
      "text/plain": [
       "(array([[28.01915507, 46.66832583, 48.09293315],\n",
       "        [28.08433549, 46.24813616, 48.33528009],\n",
       "        [27.93228696, 46.79211775, 48.73014966],\n",
       "        ...,\n",
       "        [71.99731843, 53.42433071, 49.84735487],\n",
       "        [72.04024193, 53.23501503, 50.53047869],\n",
       "        [72.06986535, 52.98956503, 51.25837391]]),\n",
       " array([[    0,     1,     2],\n",
       "        [    3,     4,     2],\n",
       "        [    3,     2,     1],\n",
       "        ...,\n",
       "        [19038, 18871, 18873],\n",
       "        [19038, 18873, 19039],\n",
       "        [19039, 18873, 18852]], dtype=int64))"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "smoothed_surface3 = nppas.smooth_surface(surface, number_of_iterations=100,\n",
    "                                         pass_band=0.00001, \n",
    "                                        )\n",
    "smoothed_surface3"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fc0c550f-09f9-4e3a-a770-0fd0321dbc2f",
   "metadata": {
    "pycharm": {
     "is_executing": true
    }
   },
   "source": [
    "There are also more functions for smoothing surfaces, e.g. based on [moving least squares](https://en.wikipedia.org/wiki/Moving_least_squares)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "37d621bb-e3e7-4494-9a69-03dd6fa611fc",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " ━━━━━━━━━━━━━━━━━━━━━━\u001b[2m                                 elapsed: 5s (3542.7 it/s)             /s)         working ...\n"
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\"></img>\n",
       "</td>\n",
       "<td style=\"text-align: center; vertical-align: top;\">\n",
       "<b><a href=\"https://github.com/haesleinhuepf/napari-process-points-and-surfaces\" target=\"_blank\">nppas.SurfaceTuple</a></b><br/>\n",
       "<table>\n",
       "<tr><td>origin (z/y/x)</td><td>[0.&nbsp;0.&nbsp;0.]</td></tr>\n",
       "<tr><td>center of mass(z/y/x)</td><td>50.000,46.575,42.589</td></tr>\n",
       "<tr><td>scale(z/y/x)</td><td>1.000,1.000,1.000</td></tr>\n",
       "<tr><td>bounds (z/y/x)</td><td>25.500...74.500<br/>2.500...88.488<br/>2.500...83.500</td></tr>\n",
       "<tr><td>average size</td><td>31.218</td></tr>\n",
       "<tr><td>number of vertices</td><td>19040</td></tr>\n",
       "<tr><td>number of faces</td><td>38076</td></tr>\n",
       "\n",
       "</table>\n",
       "\n",
       "</td>\n",
       "</tr>\n",
       "</table>"
      ],
      "text/plain": [
       "(array([[25.98875109, 44.12808947, 47.05768577],\n",
       "        [26.15397038, 43.54473134, 47.02083546],\n",
       "        [26.07599008, 44.02035203, 46.51138937],\n",
       "        ...,\n",
       "        [74.10476752, 55.90134112, 50.98948142],\n",
       "        [74.06687123, 55.89055249, 51.97473987],\n",
       "        [73.99333404, 55.87017233, 52.94371089]]),\n",
       " array([[    2,     1,     0],\n",
       "        [    4,     3,     0],\n",
       "        [    4,     0,     1],\n",
       "        ...,\n",
       "        [19038, 18870, 18872],\n",
       "        [19038, 18872, 19039],\n",
       "        [19039, 18872, 18852]], dtype=int64))"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nppas.smooth_surface_moving_least_squares_2d(surface, smoothing_factor=0.2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "fc8d5413",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " ━━━━━━━━━━━━━━━━━━━━━━\u001b[2m                                 elapsed: 5s (3536.8 it/s)             /s)         working ...\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<tr>\n",
       "<td>\n",
       "<img 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\"></img>\n",
       "</td>\n",
       "<td style=\"text-align: center; vertical-align: top;\">\n",
       "<b><a href=\"https://github.com/haesleinhuepf/napari-process-points-and-surfaces\" target=\"_blank\">nppas.SurfaceTuple</a></b><br/>\n",
       "<table>\n",
       "<tr><td>origin (z/y/x)</td><td>[0.&nbsp;0.&nbsp;0.]</td></tr>\n",
       "<tr><td>center of mass(z/y/x)</td><td>50.000,46.575,42.589</td></tr>\n",
       "<tr><td>scale(z/y/x)</td><td>1.000,1.000,1.000</td></tr>\n",
       "<tr><td>bounds (z/y/x)</td><td>25.500...74.500<br/>2.500...88.500<br/>2.500...83.500</td></tr>\n",
       "<tr><td>average size</td><td>31.211</td></tr>\n",
       "<tr><td>number of vertices</td><td>19040</td></tr>\n",
       "<tr><td>number of faces</td><td>38076</td></tr>\n",
       "\n",
       "</table>\n",
       "\n",
       "</td>\n",
       "</tr>\n",
       "</table>"
      ],
      "text/plain": [
       "(array([[25.98292871, 44.12883963, 47.05726456],\n",
       "        [26.14230758, 43.53878943, 47.01785621],\n",
       "        [26.08261435, 44.023263  , 46.51221274],\n",
       "        ...,\n",
       "        [74.13081362, 55.89623083, 50.99272274],\n",
       "        [74.08870608, 55.88487125, 51.97385183],\n",
       "        [74.01707129, 55.87116037, 52.94273544]]),\n",
       " array([[    2,     1,     0],\n",
       "        [    4,     3,     0],\n",
       "        [    4,     0,     1],\n",
       "        ...,\n",
       "        [19038, 18870, 18872],\n",
       "        [19038, 18872, 19039],\n",
       "        [19039, 18872, 18852]], dtype=int64))"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nppas.smooth_surface_moving_least_squares_2d_radius(surface, smoothing_factor=0.2, radius=3)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c596fd03-c02e-44e6-9c9c-7993aae3c99d",
   "metadata": {
    "pycharm": {
     "is_executing": true
    }
   },
   "source": [
    "## Simplifying surfaces meshes\n",
    "In case a surface mesh has too many vertices and faces, processing it may take long time. Too detailed surfaces mesh may not bring additional information as well. Thus, it might make sense to simplify surfaces, for example by reducing the number of vertices and faces by half."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "56453af5-f8e1-4db1-bf76-9db97e276b15",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<tr>\n",
       "<td>\n",
       "<img 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\"></img>\n",
       "</td>\n",
       "<td style=\"text-align: center; vertical-align: top;\">\n",
       "<b><a href=\"https://github.com/haesleinhuepf/napari-process-points-and-surfaces\" target=\"_blank\">nppas.SurfaceTuple</a></b><br/>\n",
       "<table>\n",
       "<tr><td>origin (z/y/x)</td><td>[0.&nbsp;0.&nbsp;0.]</td></tr>\n",
       "<tr><td>center of mass(z/y/x)</td><td>50.030,46.080,39.522</td></tr>\n",
       "<tr><td>scale(z/y/x)</td><td>1.000,1.000,1.000</td></tr>\n",
       "<tr><td>bounds (z/y/x)</td><td>25.347...74.653<br/>2.332...88.704<br/>2.338...83.678</td></tr>\n",
       "<tr><td>average size</td><td>32.058</td></tr>\n",
       "<tr><td>number of vertices</td><td>9521</td></tr>\n",
       "<tr><td>number of faces</td><td>19038</td></tr>\n",
       "\n",
       "</table>\n",
       "\n",
       "</td>\n",
       "</tr>\n",
       "</table>"
      ],
      "text/plain": [
       "(array([[25.88009699, 44.17844709, 46.40910244],\n",
       "        [25.66812895, 44.28466328, 47.22995242],\n",
       "        [25.62762258, 44.14546234, 48.30988115],\n",
       "        ...,\n",
       "        [74.3742686 , 55.8701694 , 50.97585993],\n",
       "        [74.37237742, 55.84979165, 51.97539921],\n",
       "        [74.33187105, 55.63217582, 53.02566904]]),\n",
       " array([[ 107,    3,    2],\n",
       "        [ 107,    2,    1],\n",
       "        [ 108,    4,    3],\n",
       "        ...,\n",
       "        [9519, 9431, 9432],\n",
       "        [9519, 9432, 9520],\n",
       "        [9520, 9432, 9424]], dtype=int64))"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "simplified_surface = nppas.decimate_pro(smoothed_surface, fraction=0.5)\n",
    "simplified_surface"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c18b2359-39d4-47c5-ad4a-6608de168177",
   "metadata": {},
   "source": [
    "If we simplify the surface too much, we may loose spatial information and resolution. The object may then not be represented appropriately anymore."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "b9f5ff74-cb9e-4b20-ad47-5715829bea12",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<tr>\n",
       "<td>\n",
       "<img 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\"></img>\n",
       "</td>\n",
       "<td style=\"text-align: center; vertical-align: top;\">\n",
       "<b><a href=\"https://github.com/haesleinhuepf/napari-process-points-and-surfaces\" target=\"_blank\">nppas.SurfaceTuple</a></b><br/>\n",
       "<table>\n",
       "<tr><td>origin (z/y/x)</td><td>[0.&nbsp;0.&nbsp;0.]</td></tr>\n",
       "<tr><td>center of mass(z/y/x)</td><td>49.967,47.447,39.231</td></tr>\n",
       "<tr><td>scale(z/y/x)</td><td>1.000,1.000,1.000</td></tr>\n",
       "<tr><td>bounds (z/y/x)</td><td>25.366...74.634<br/>2.312...88.678<br/>2.318...83.672</td></tr>\n",
       "<tr><td>average size</td><td>31.558</td></tr>\n",
       "<tr><td>number of vertices</td><td>1905</td></tr>\n",
       "<tr><td>number of faces</td><td>3806</td></tr>\n",
       "\n",
       "</table>\n",
       "\n",
       "</td>\n",
       "</tr>\n",
       "</table>"
      ],
      "text/plain": [
       "(array([[26.206108, 42.87853 , 47.04458 ],\n",
       "        [25.501694, 44.605274, 53.04667 ],\n",
       "        [25.496613, 44.70216 , 47.202538],\n",
       "        ...,\n",
       "        [74.60994 , 53.514053, 53.527554],\n",
       "        [74.63424 , 54.613747, 47.303635],\n",
       "        [74.49614 , 55.441616, 52.61455 ]], dtype=float32),\n",
       " array([[   0,    1,    2],\n",
       "        [   3,    1,    0],\n",
       "        [   2,    1,    4],\n",
       "        ...,\n",
       "        [1893, 1899, 1892],\n",
       "        [1903, 1893, 1904],\n",
       "        [1893, 1890, 1904]], dtype=int64))"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "simplified_surface2 = nppas.decimate_quadric(smoothed_surface, fraction=0.1)\n",
    "simplified_surface2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "b964105e-6dad-4c33-93bb-01d0fdf7b6b0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<tr>\n",
       "<td>\n",
       "<img 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\"></img>\n",
       "</td>\n",
       "<td style=\"text-align: center; vertical-align: top;\">\n",
       "<b><a href=\"https://github.com/haesleinhuepf/napari-process-points-and-surfaces\" target=\"_blank\">nppas.SurfaceTuple</a></b><br/>\n",
       "<table>\n",
       "<tr><td>origin (z/y/x)</td><td>[0.&nbsp;0.&nbsp;0.]</td></tr>\n",
       "<tr><td>center of mass(z/y/x)</td><td>50.058,45.766,39.296</td></tr>\n",
       "<tr><td>scale(z/y/x)</td><td>1.000,1.000,1.000</td></tr>\n",
       "<tr><td>bounds (z/y/x)</td><td>25.440...74.557<br/>2.344...88.258<br/>2.406...83.760</td></tr>\n",
       "<tr><td>average size</td><td>31.922</td></tr>\n",
       "<tr><td>number of vertices</td><td>192</td></tr>\n",
       "<tr><td>number of faces</td><td>380</td></tr>\n",
       "\n",
       "</table>\n",
       "\n",
       "</td>\n",
       "</tr>\n",
       "</table>"
      ],
      "text/plain": [
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       "        [25.620447 , 53.69297  , 56.635742 ],\n",
       "        [26.56066  , 58.39679  , 45.893154 ],\n",
       "        [28.687128 , 56.69094  , 37.615738 ],\n",
       "        [27.710691 , 38.450798 , 46.96766  ],\n",
       "        [27.459581 , 46.988213 , 38.93631  ],\n",
       "        [28.85318  , 63.422813 , 54.58249  ],\n",
       "        [29.473404 , 37.64574  , 58.49951  ],\n",
       "        [29.529615 , 39.74972  , 39.24586  ],\n",
       "        [29.52746  , 59.589016 , 61.204838 ],\n",
       "        [31.330416 , 67.32441  , 47.900333 ],\n",
       "        [31.96393  , 32.075504 , 48.37629  ],\n",
       "        [32.685886 , 47.521763 , 70.15129  ],\n",
       "        [31.997847 , 49.049595 , 31.985275 ],\n",
       "        [34.828735 , 35.343822 , 35.504314 ],\n",
       "        [36.59383  , 51.563065 , 77.196236 ],\n",
       "        [34.290092 , 64.27008  , 35.85551  ],\n",
       "        [35.290543 , 64.95093  , 64.33927  ],\n",
       "        [35.361206 , 41.16243  , 70.786705 ],\n",
       "        [37.243977 , 29.662302 , 58.6427   ],\n",
       "        [35.61373  , 70.328835 , 45.35603  ],\n",
       "        [35.603188 , 35.159176 , 64.687454 ],\n",
       "        [37.354687 , 44.645523 , 28.541262 ],\n",
       "        [37.59345  , 54.852528 , 28.407906 ],\n",
       "        [37.23822  , 71.043816 , 56.43045  ],\n",
       "        [39.826763 , 29.319647 , 39.50871  ],\n",
       "        [38.36142  , 60.00728  , 74.17493  ],\n",
       "        [36.638927 , 16.344017 , 10.426266 ],\n",
       "        [36.366825 , 11.261887 , 16.198786 ],\n",
       "        [36.52566  , 21.151596 , 16.325111 ],\n",
       "        [37.1695   , 19.666199 , 22.061705 ],\n",
       "        [38.09712  , 20.731905 ,  9.070147 ],\n",
       "        [39.360477 , 27.242958 , 46.62476  ],\n",
       "        [39.973553 , 41.775826 , 77.926025 ],\n",
       "        [39.591972 , 60.659885 , 29.571966 ],\n",
       "        [41.456932 , 65.020836 , 70.52576  ],\n",
       "        [37.69036  , 65.715004 , 33.821285 ],\n",
       "        [40.94295  , 72.06242  , 39.728546 ],\n",
       "        [39.39634  ,  9.188887 ,  8.64679  ],\n",
       "        [39.78057  ,  6.0069237, 15.170119 ],\n",
       "        [39.6969   ,  8.470723 , 23.030731 ],\n",
       "        [40.988796 , 26.846626 , 54.401295 ],\n",
       "        [40.433372 , 38.179195 , 29.72371  ],\n",
       "        [41.24043  , 46.125885 , 81.3934   ],\n",
       "        [40.30522  , 77.11492  , 45.64778  ],\n",
       "        [41.510918 , 16.467228 , 27.564827 ],\n",
       "        [43.299114 , 13.691567 ,  3.1184442],\n",
       "        [40.585903 , 26.788109 , 16.351341 ],\n",
       "        [41.809177 , 35.415146 , 71.4999   ],\n",
       "        [42.35037  , 58.148705 , 79.94958  ],\n",
       "        [42.57651  , 81.74724  , 52.847412 ],\n",
       "        [45.207733 , 25.832607 , 27.28196  ],\n",
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       "        [74.45624  , 53.59624  , 56.16684  ],\n",
       "        [74.3502   , 54.487785 , 43.836876 ],\n",
       "        [72.64474  , 60.864304 , 53.243656 ],\n",
       "        [74.55666  , 44.783363 , 46.522003 ]], dtype=float32),\n",
       " array([[  0,   1,   2],\n",
       "        [  3,   2,   1],\n",
       "        [  2,   4,   5],\n",
       "        ...,\n",
       "        [191, 188, 184],\n",
       "        [191, 189, 188],\n",
       "        [189, 190, 188]], dtype=int64))"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "simplified_surface2 = nppas.decimate_quadric(smoothed_surface, fraction=0.01)\n",
    "simplified_surface2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "8af2b93a-39ab-4c98-9c0a-cf978e225e26",
   "metadata": {},
   "outputs": [
    {
     "data": {
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\"></img>\n",
       "</td>\n",
       "<td style=\"text-align: center; vertical-align: top;\">\n",
       "<b><a href=\"https://github.com/haesleinhuepf/napari-process-points-and-surfaces\" target=\"_blank\">nppas.SurfaceTuple</a></b><br/>\n",
       "<table>\n",
       "<tr><td>origin (z/y/x)</td><td>[0.&nbsp;0.&nbsp;0.]</td></tr>\n",
       "<tr><td>center of mass(z/y/x)</td><td>49.959,46.174,40.689</td></tr>\n",
       "<tr><td>scale(z/y/x)</td><td>1.000,1.000,1.000</td></tr>\n",
       "<tr><td>bounds (z/y/x)</td><td>25.809...76.552<br/>3.858...93.107<br/>3.385...83.730</td></tr>\n",
       "<tr><td>average size</td><td>35.058</td></tr>\n",
       "<tr><td>number of vertices</td><td>22</td></tr>\n",
       "<tr><td>number of faces</td><td>38</td></tr>\n",
       "\n",
       "</table>\n",
       "\n",
       "</td>\n",
       "</tr>\n",
       "</table>"
      ],
      "text/plain": [
       "(array([[33.76056  , 64.36101  , 34.26967  ],\n",
       "        [25.809486 , 39.896786 , 37.98891  ],\n",
       "        [26.297161 , 58.157776 , 58.85048  ],\n",
       "        [42.386745 , 42.167427 , 83.73046  ],\n",
       "        [38.11644  , 25.642138 , 52.78596  ],\n",
       "        [47.569904 , 76.74543  , 60.91313  ],\n",
       "        [47.01948  , 59.65666  , 82.88198  ],\n",
       "        [50.32413  , 93.10659  , 49.48144  ],\n",
       "        [47.212494 , 77.502106 , 38.622368 ],\n",
       "        [46.86817  ,  3.8584795, 27.996782 ],\n",
       "        [50.192207 , 31.42654  , 29.835613 ],\n",
       "        [34.178185 , 13.580583 ,  9.847407 ],\n",
       "        [47.138996 , 25.220955 ,  4.071593 ],\n",
       "        [50.35147  , 50.538822 , 23.124231 ],\n",
       "        [60.23335  ,  8.141047 ,  3.3853312],\n",
       "        [49.871075 , 86.831345 , 12.335192 ],\n",
       "        [64.2211   , 27.017893 , 53.702003 ],\n",
       "        [62.66027  , 17.478125 , 26.288834 ],\n",
       "        [65.752655 , 66.548    , 36.324707 ],\n",
       "        [61.79256  , 52.441917 , 81.97726  ],\n",
       "        [70.78449  , 45.516235 , 32.695873 ],\n",
       "        [76.55244  , 49.99273  , 54.039413 ]], dtype=float32),\n",
       " array([[ 0,  1,  2],\n",
       "        [ 3,  2,  1],\n",
       "        [ 1,  4,  3],\n",
       "        [ 0,  2,  5],\n",
       "        [ 6,  2,  3],\n",
       "        [ 5,  2,  6],\n",
       "        [ 0,  7,  8],\n",
       "        [ 7,  0,  5],\n",
       "        [ 9, 10, 11],\n",
       "        [10, 12, 11],\n",
       "        [ 4,  1, 10],\n",
       "        [13,  1,  0],\n",
       "        [ 9, 11, 14],\n",
       "        [15,  0,  8],\n",
       "        [ 1, 13, 10],\n",
       "        [13,  0, 15],\n",
       "        [12, 14, 11],\n",
       "        [16,  3,  4],\n",
       "        [10,  9, 17],\n",
       "        [16,  4, 10],\n",
       "        [15, 18, 13],\n",
       "        [ 6, 19,  5],\n",
       "        [18, 15,  8],\n",
       "        [14, 12, 10],\n",
       "        [ 3, 19,  6],\n",
       "        [ 7, 18,  8],\n",
       "        [10, 20, 16],\n",
       "        [13, 20, 10],\n",
       "        [16, 19,  3],\n",
       "        [13, 18, 20],\n",
       "        [ 9, 14, 17],\n",
       "        [17, 14, 10],\n",
       "        [18,  7,  5],\n",
       "        [19, 18,  5],\n",
       "        [21, 19, 16],\n",
       "        [18, 19, 21],\n",
       "        [20, 21, 16],\n",
       "        [21, 20, 18]], dtype=int64))"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "simplified_surface2 = nppas.decimate_quadric(smoothed_surface, fraction=0.001)\n",
    "simplified_surface2"
   ]
  },
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   "id": "c04886ba-4f37-4a43-b4d2-212e32d09a21",
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    "# Exercise\n",
    "Store the branchoid as 8-bit integer image to disc. \n",
    "Compare the file size to the differently simplified meshes above."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "67723d24-8e7f-4333-8bdc-740d0a99ef4d",
   "metadata": {},
   "outputs": [],
   "source": []
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