04_image_segmentation/15_smooth_labels.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "c702f5b3-388a-45d9-bb5d-fde8f3b0f21c",
   "metadata": {},
   "source": [
    "# Morphological operations on label images\n",
    "\n",
    "In this notebook we will demonstrate how to fine-tune outlines of labels by smoothing them. The operation is related to erosion and dilation of labels. It is however not exactly what opening does. It differs by not leaving gaps behind but filling them with the closes labels.\n",
    "\n",
    "See also\n",
    "* [Twitter discussion about naming 'smooth_labels'](https://twitter.com/haesleinhuepf/status/1492215964305436673)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "de9bd90b-74ee-479f-ab76-badd2479375a",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pyclesperanto_prototype as cle\n",
    "import napari_segment_blobs_and_things_with_membranes as nsbatwm\n",
    "import matplotlib.pyplot as plt\n",
    "from skimage.data import cells3d\n",
    "import stackview"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "252b3f9c-2184-496a-8640-9d0021d7cc00",
   "metadata": {},
   "source": [
    "A potential use-case is fine-tuning cell segmentation results. Thus, we take a look at a segmentation of cells based on membranes."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "20e78e5e-bb1d-4b1f-a065-8a45315c86e9",
   "metadata": {},
   "outputs": [
    {
     "data": {
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\"></img>\n",
       "</td>\n",
       "<td style=\"text-align: center; vertical-align: top;\">\n",
       "\n",
       "<table>\n",
       "<tr><td>shape</td><td>(256,&nbsp;256)</td></tr>\n",
       "<tr><td>dtype</td><td>uint16</td></tr>\n",
       "<tr><td>size</td><td>128.0 kB</td></tr>\n",
       "<tr><td>min</td><td>277</td></tr><tr><td>max</td><td>44092</td></tr>\n",
       "</table>\n",
       "<img src=\"data:image/png;base64,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\"></img>\n",
       "</td>\n",
       "</tr>\n",
       "</table>"
      ],
      "text/plain": [
       "StackViewNDArray([[4496, 5212, 6863, ..., 2917, 2680, 2642],\n",
       "                  [4533, 5146, 7555, ..., 2843, 2857, 2748],\n",
       "                  [4640, 6082, 8452, ..., 3372, 3039, 3128],\n",
       "                  ...,\n",
       "                  [1339, 1403, 1359, ..., 4458, 4314, 4795],\n",
       "                  [1473, 1560, 1622, ..., 3967, 4531, 4204],\n",
       "                  [1380, 1368, 1649, ..., 3091, 3558, 3682]], dtype=uint16)"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "membranes = cells3d()[30,0]\n",
    "stackview.insight(membranes)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "450218df-5118-4d03-bfc7-585517639ada",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<tr>\n",
       "<td>\n",
       "<img 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xSGxEAThVQRAAAAAwzAHELai9est4SogdwhJH5W/7HHTfMD++lYBmSMILyAAAkCWhdvAFR+85PBI/CfcCk4nCDZ1bIz6fUbZ32ZlTP0tLxhJCITr0QIGAAAwDBVA2Ib2r3d986Fm2sDwrP6Vv8GOS6lXBw986gtRv9f8+Z9vHdma0vsAdiEAAkgK8wHhJoPNB0wU7pIRfn2iINg/9MVS85m7JBEE4T60gAEAAAxDBRAA4En99wYMVwQzrf711dSxMaoKmEzVL5ZwJVCiGgh3yLMsy3J6EPCerq4ulZSU6O+/Nk+BoQUJz2Xun//QBk4Oq4DtM/zD0Tn/GyOmPpvV93M6CFrnzst6bbc6OztVXFzs6FhgP1rAAAAAhqEFDABAEk7vuS+rVcC+beG+clEZjPW3zod6tEO7s/634A0EQOQU7V9/YkVwYrR+kYlYYa1vKIy1sjhemATiIQACADzNjvl/YdmuAiYrVsAj9CETzAEEAAAwDAEQAADAMARAAAAAwxAAAQAADEMABJC28GpgAIC3sAoYALKILWDsY+fq375O77lPUvbvDALYiQogAACAYQiAAADPcar611e4Egh4EQEQAIA0nd5zH0EQnkQABAAAMAyLQAAAnuGG1m8s8aqALBSBW1EBBJCRbz7UzHYwf8YKYLNN2j1Bk3ZPiDpGexhuRQUQAOAJbq3+9dc/BJ6YWu/MQIAEqAACAAAYhgogAAA5NG7tk5GfTzxY79g4gL4IgAAy8sT3pjs9BMcx9y+3vND67d/2jWfc2icJgXAFWsAAAACGIQACyAirgJFLXqj+pWrc2iej2sKAEwiAAACkKdbWL8kiBMJJBECP2b17t+68805VVlYqLy9PW7dujXresiytWrVKlZWVGjZsmGbOnKnDhw9HnRMKhVRXV6dRo0apsLBQc+fO1cmTJ238FAAAwEkEQI85e/asJk2apPXr18d8fu3atVq3bp3Wr1+vvXv3KhgMavbs2eru7o6cU19fry1btmjTpk1qbm7WmTNnNGfOHF24cMGujwH4BgtAcmP4h6N92f7tj3YwnEIA9Jja2lp95zvf0bx58wY8Z1mWnnzyST3yyCOaN2+eqqur9cILL+jjjz/Wyy+/LEnq7OzUc889p8cff1yzZs3S5z//eb300ks6ePCgduzYYffHAYABTAh+/RECYTcCoI8cO3ZM7e3tqqmpiRwLBAKaMWOGWlpaJEn79u3TuXPnos6prKxUdXV15BwAAOBvBEAfaW9vlySVl5dHHS8vL488197erqFDh2rEiBFxz4klFAqpq6sr6pGMzpVfTuUjADCY19q+6S7+ANyAjaB9KC8vL+p3y7IGHOtvsHMaGhq0evXqlMdSsvqVlF8Db2EjaGSDl4JfroTbwGwUDTtQAfSRYDAoSQMqeR0dHZGqYDAYVG9vr06fPh33nFhWrFihzs7OyKO1tVWSVPzwFkKe4UzdB7Dig5dYAGKoTLZ+AdyCAOgjVVVVCgaDamxsjBzr7e1VU1OTpk2bJkmaPHmyCgoKos5pa2vToUOHIufEEggEVFxcHPUAAADeRAvYY86cOaNf//rXkd+PHTumX/7ylyotLdW4ceNUX1+vNWvW6KqrrtJVV12lNWvWaPjw4brnnnskSSUlJbr33nu1bNkyjRw5UqWlpVq+fLkmTpyoWbNmpT0uqoDmogWMTNH+jcb9gmEHAqDHvPPOO7r55psjvy9dulSStHDhQm3YsEEPPvigenp6tHjxYp0+fVpTpkzRW2+9paKioshrnnjiCQ0ZMkTz589XT0+Pbr31Vm3YsEH5+fm2fx4A5iL4Ac7JsyzLcnoQ8J6uri6VlJTo0XfzdGVR4gUm8DdTK4DM/8ucVwOgHfP/7KgAng/1aMcPHlJnZyfTegzEHEAASBHhL3NeDX92YWNo5BoBEEDaTK3+AYDXEQABAAAMwyIQACmj8od00foF3IEACCAlJoc/5v5lhvAHuActYAAAAMNQAQQA5BSVP8B9qAACAJAk7gEMvyAAAgByhupf+satfZL9AJEzBEAAAADDEAABpOSbDzU7PQR4wPAPR1P9A1yMAAhAkjTtWPQjkW8+1EwQRFwEv+yiDYxcIAACAAAYhm1gAMMNVu3DJWwCnRyqf7kRrgKeeLDe0XHAP6gAAgAyxpw/e9AORrYQAAEAAAxDAAQwQEtV4ufDC0Vemc9CEJjT9nXLJtDsD4hsYA4ggAHC8wJjBcH+cwbDIfDL/zI9x6OC25gS/AA/ogIIAABgGCqAgCGKXopToftv8du4qawQfmV+M1VAg1D9c964tU+yKhhpowIIGCBu+Msy5gT6H6t93YX5gEgXFUDAp5INfQf//dJ5ExNUAlPRNwT6oSLI/n+XEfzci2ogUkUFEAAAwDBUAOFKmbQsu7/WrKKXpqv7a+a1I9O5btmq/MXit2qgqaj8eQNVQKSCAAjXyNY8tfD7xHs/vwVDu+b3ZSrW/EBCofsR/tyz/18yuGUckkULGAAAwDBUAJFzbqtQJRqPF6qDbruemWATaXej+uddfVcGUw1ELARA5IRXQ0qmcw+d+tte59a5gqwAhh8wNxCx0AIGAAAwDBVAZI3JFSyJz58tbq0GmoTWr/+wOAT9UQFEVhB+vOvgv0+PbAbtNq/Mb448YA/Cn79x1xCEEQABAAAMQwsYGfnE5hs17Eq+Rsg9u1cMm7QAhKqfWcJVwPf//uvODgSO4r/cADwl10GQ4AdTjHnyGaeHAAcRAAFIujQXMJe3hcu2XC0WaRv9NUn+D4KEP8BszAEEAAAwDBVAAJ7H1jHJo/IHQCIAAvAZbi8XG8EPQF+0gAEAAAxDBRCAL9EWBoD4qAAC8D1T7yQy/MPRkQcA9EUABAAAMAwBEIAR0qkChvcE9BKqfgCSQQAEIEme2gQ6Xa/Mb046CHox/AFAsgiAAAAAhmEVMADj+G2FMO1eAKkiAAJAAm6+NzDBD0C6CIAAjObVaiDhD0AmmAMIAABgGAIgAPyZVzaMpvoHIFO0gAEDFbXUDTxowDYwyQiHwHA72C1z/wh9zpi0e4LTQwByggogAACAYagAAgaIWfFDQq/Mb3ZsUQjVPgC5RgUQ8DnCX/rsnBPILdwA2IkACAAAYBhawIAPUfXLnv/zwF9Kkv7n08djHk+k/2tioeIHwAkEQMAnMg19x7+/WX/5DwuyNBr/6Rv4kgl2/V/zrdVnszsgAMgALWAAAADDUAEEPI52r/2Saf8CgJsRAAEPIvR5B61fAG5EAAQ8gtDnPYQ/AG7FHECP2b17t+68805VVlYqLy9PW7dujXp+0aJFysvLi3pMnTo16pxQKKS6ujqNGjVKhYWFmjt3rk6ePGnjpwAAAE4iAHrM2bNnNWnSJK1fvz7uObfffrva2toij23btkU9X19fry1btmjTpk1qbm7WmTNnNGfOHF24cCHXw0cailrqbKv+Hf/+Zh3//mZb/hYAwDm0gD2mtrZWtbW1Cc8JBAIKBoMxn+vs7NRzzz2nF198UbNmzZIkvfTSSxo7dqx27Nih2267LetjRupo93obrV/vm7R7gtNDAHKKCqAP7dq1S2VlZbr66qt13333qaOjI/Lcvn37dO7cOdXU1ESOVVZWqrq6Wi0tLU4MFwAA2IwKoM/U1tbqy1/+ssaPH69jx47p0Ucf1S233KJ9+/YpEAiovb1dQ4cO1YgRI6JeV15ervb29rjvGwqFFAqFIr93dXXl7DOYiqofAMAuBECfWbDg8p0cqqurdf3112v8+PF64403NG/evLivsyxLeXl5cZ9vaGjQ6tWrszpWEPoAAM6gBexzFRUVGj9+vI4ePSpJCgaD6u3t1enTp6PO6+joUHl5edz3WbFihTo7OyOP1tbWnI4bAADkDhVAnzt16pRaW1tVUVEhSZo8ebIKCgrU2Nio+fPnS5La2tp06NAhrV27Nu77BAIBBQIBW8bsZ1T8AABuQAD0mDNnzujXv/515Pdjx47pl7/8pUpLS1VaWqpVq1bpS1/6kioqKnT8+HE9/PDDGjVqlP76r/9aklRSUqJ7771Xy5Yt08iRI1VaWqrly5dr4sSJkVXByD6CHwDATQiAHvPOO+/o5ptvjvy+dOlSSdLChQv1zDPP6ODBg9q4caM++ugjVVRU6Oabb9bmzZtVVFQUec0TTzyhIUOGaP78+erp6dGtt96qDRs2KD8/3/bPAwAA7EcA9JiZM2fKsqy4z2/fvn3Q97jyyiv11FNP6amnnsrm0IxHlQ/wB/YAhAkIgECaCHwAAK8iAAJJIOwhFY+tLJTEHUEAuBfbwAAAABiGCiAycnfx/1DRsOGSpE2d6x0eTW5Q/QPMwNw/mIQAiKz5SskSSf4IgoQ+AICf0QIGAAAwDBVAZF24Eij5oxoIpIrFHwDcjgCInCIMAgDgPrSAAQAADEMFEABgLFb+wlRUAAEARiL8wWQEQAAAAMPQAoZtvlKyhIUgAGy1/kf/EvX7kvvnOzQSwF0IgLAVIRB+xxYw9usf8pI999lrcjEawBsIgACQJYS/7Ekl1AFIHXMAAQAADEMFEADgCnZX/e57d6WevWa1rX8TcAsCIGwXvjsIcwEB87ittXvfuysliSAI49ACBgAAMAwVQDjGjSuCi1rqnB4CPMiUxR9uq94BSB8BEI554808FelS4Oqe9pTDowHMQ6C7jPmAMA0tYAAAAMNQAYTt3ngzb8CxopY6x6uAtH+l608EL/1Q16QPn5rh7GA8wivtX6p9APoiAAIi/MFfCHvpMW1F8D3DW7Shq9LpYcAhtIABAAAMQwUQrtG3CmdXO5jK32WR9u+fjaINHJcb275U/ZCshcMPSJLOWl0OjwROyrMsy3J6EPCerq4ulZSU6DePb1DRsOFpvUesuYD95TIIEv6i9Q+AfREEL3FT8CPw5ZZf28Dh8CddCoA1XZXq7OxUcXGxg6OCE6gAwnbJBL+wbC8OIfQhXYQ/eFnf4AdIzAEEAAAwDhVAuF6mcwOp+iWWqPUbZvJ8QLdU/qj6AcgmAiA8JdkwSOjLvlF1TZLMmQ/ohuBH6EMmaPsiEVrAAAAAhqECCM+iyodsc0PVT6Ly5wZe3xSa6h8GQwAEkJJwK1gypx1sB0IfsoHgh2TRAgYAADAMARC2SmUPQLhf32og0kf1D4DdaAEDyIifWsKPrSxMeh5gMqFtyf3zs/I+QDJo/yIVVAABAAAMQwUQMFgym0CnIpmWsNerhKlY/6N/iVsFpPKHbKL6h1QRAAHYarCQ6GRAzGb7t/+5fYMg4Q/ZQvBDugiAAFzFiTmFduz/R+hDthH+kAnmAAIAABiGCiBsdUetxVYwSFqsdnG4Khjv3sS5vGcxVTzz3PfuSs/eDQRIhAAIwFP6h8J4cwr9tD0NAGQbLWAAAADDUAEE4Huj6poSVgEfW1koyZ7FIEAmWPiBbCEAAgbK9v5/XpBMSzjRnUCY/2cm5v/Br2gBAwAAGIYACNvdUWvpjlrL6WHAYIk2o35sZWGkJQy4xcLhB2j/IqtoAQOGMbH9G8tg28U8trJQn6h43s4hAYBtqAACAAAYhgogYAgqf8n5x3FfkSQ9ee42h0cCN3DDRtC0fpELVAABGK3vfMBw+JOk+oLtTgwHiGDeH3KJCiAcw23h7EP1L7G+wQ8ATEAFEAAAwDAEQABGu/+1Z+I+RxsYTqH1i1yjBQz4HO3fgRKFvv7CIZBFIbAL4Q92oAIIAABgGCqAgE9R+Rsolcpff/UF26kCIqeo/MFOVAABAAAMQwAEAAAwDC1g2I69/3KP9u9AmbR/gVyj/Qu7UQH0mIaGBt1www0qKipSWVmZ7rrrLh05ciTqHMuytGrVKlVWVmrYsGGaOXOmDh8+HHVOKBRSXV2dRo0apcLCQs2dO1cnT56086MgB64/EST8xUD4Q7pyfRs47vYBpxAAPaapqUkPPPCA9uzZo8bGRp0/f141NTU6e/Zs5Jy1a9dq3bp1Wr9+vfbu3atgMKjZs2eru7s7ck59fb22bNmiTZs2qbm5WWfOnNGcOXN04cIFJz4WAACwUZ5lWZbTg0D6PvjgA5WVlampqUk33XSTLMtSZWWl6uvr9dBDD0m6VO0rLy/X9773PX39619XZ2enRo8erRdffFELFiyQJP3+97/X2LFjtW3bNt122+ArHbu6ulRSUqLfPL5BRcOGpzRmWsC5QeVvoFxV/lgNbA47KoBOOWt1qaarUp2dnSouLnZsHHAGFUCP6+zslCSVlpZKko4dO6b29nbV1NREzgkEApoxY4ZaWlokSfv27dO5c+eizqmsrFR1dXXknP5CoZC6urqiHum6o9aKPJA52r6x5bLtyx1C/O/Za1b7OvwBBEAPsyxLS5cu1fTp01VdXS1Jam9vlySVl5dHnVteXh55rr29XUOHDtWIESPintNfQ0ODSkpKIo+xY8dm++MAAACbsArYw5YsWaIDBw6oubl5wHN5edFtVsuyBhzrL9E5K1as0NKlSyO/d3V1ZSUEhquAtIWRLXYt+OAWcUgXlT+4ARVAj6qrq9Prr7+ut99+W2PGjIkcDwYvtQL7V/I6OjoiVcFgMKje3l6dPn067jn9BQIBFRcXRz3gPFq/QPbluvULuAEB0GMsy9KSJUv06quvaufOnaqqqop6vqqqSsFgUI2NjZFjvb29ampq0rRp0yRJkydPVkFBQdQ5bW1tOnToUOQcuzEfMDXM+4vNie1emA+IVFD9g1vQAvaYBx54QC+//LJee+01FRUVRSp9JSUlGjZsmPLy8lRfX681a9boqquu0lVXXaU1a9Zo+PDhuueeeyLn3nvvvVq2bJlGjhyp0tJSLV++XBMnTtSsWbOc/HgAAMAGBECPeeaZSxWOmTNnRh1//vnntWjRIknSgw8+qJ6eHi1evFinT5/WlClT9NZbb6moqChy/hNPPKEhQ4Zo/vz56unp0a233qoNGzYoPz/fro+CNFH5AwBkin0AkZZM9gGMh4UgiRH8Buf0HT9YEOJtuZr759a2L/sAmo05gAAAAIahBQzXYEuY+Kj+JeZ05Q/oy60VP6AvKoAAkCWsCDbbwuEHCH/wDAIgAACAYQiAgMvR/k3Mbe1fqoAAvIA5gIBLEfy8i9vEAXA7KoAAAACGoQII17mj1jJ2JTBVP3/p2w6mGgjATagAAi5B+AO8i9W/8BoCIADYgMUhANyEAAgAAGAY5gACDqLtmz63bf8CM9H6hVcRAOFKfr8tHMHPTGwPA8AtaAEDAAAYhgogYCMqf5DYHsat7nt3pSTp2WtWOzwSIPeoAAI5dv2JYOSB7PDT/D9WB7tPOAgOhvl/8DICIAAAgGFoAcPV+lfN3hnX7tBIUkO1D6moL9hOK9hlErWDqfzBD6gAwlPcHqxo9SJd9QXbIw/kxj+/Nizl1yTbDga8hgAIAABgGFrA8JxYFTanWsNU+5AL7BeYXX0rf+lUAfMaHov8/Lf/+79nZUyA0wiAcKU//FNFSuf3DWK5CIMEPffw0wrgwTA3MH3pBD3AJARA+E46Ye2dce2EPLgSewamjvAHDI45gAAAAIahAgjXSbX9mw1U/+AFzA2Mj6ofkBoqgADgMWwVE43wB6SOAAgAAGAYAiAAT7j/tWeMWgE8GKqAlyp/dlf/Nj66zda/B+QKcwABAJ5BuxfIDiqAAAAAhqECCNdwYvUv4GV+XhXs5kpfuA3MXUHgZVQAAcDj/DYf0M3hD/ALAiAAAIBhaAHDFWj/IhFW/w7Oi+3gcKXv777Y48mq38ZHt9EGhmdRAYSj/vBPFYQ/IIu80g7uG/i8GP4Ar6MCCMcQ/IDccFs10M8BjwUh8CoqgAAAAIahAgjbUfkD7FFfsN2xKqCfq36xMB8QXkMARM4R+ADn5LIdbFrIGwztYHgJLWAAAADDUAFEVhy/9mP95YHhkZ/7okaAdLH9i/0SVfW8ul0LgIHyLMuynB4EvKerq0slJSXauf0ZfaIwu/9BGPbAp7P6fvAuAmB2Vf/rXU4PwRheaAOftbpU01Wpzs5OFRcXOz0c2IwWMAAAgGFoAcN1ep7+TcLnqRAC6Tl091aqgDZhQQjcjgogPKfn6d8MGhIBwA3CQRBwGwIgAACAYQiA8CyqgP7GAhD4BVVAuBEBEJ5GOxhIzaG7t+rQ3VudHoZxNj66jSAIVyEAwhcIgQC8gBAItyAAAgAAGIYACN+gHQwkjzawc2gHww24EwjSkss7gWQDewV6F4s/7MfegO5i196B3AnEbFQAAQAADMOdQJCRP27vVihwXiPvKHJ6KFH6t4KpCAIAcBkBEFlx6o1u14XAvvoGQsIgAMB0tIABAAAMQwUQWXPqje4Bx9xYFaQa6F4sALEPCz/ca+Oj22xbCAJzEQCRU/1DodsCIWHQHQh+9iH4eQMhELlGCxgAAMAwVABhKzcvFqEa6Ayqf0Bs4c2iqQQiFwiAsF24LezWICgRBuFf4TuA0Ar2jr53DSEMIltoAXtMQ0ODbrjhBhUVFamsrEx33XWXjhw5EnXOokWLlJeXF/WYOnVq1DmhUEh1dXUaNWqUCgsLNXfuXJ08edLOjxJz0YgbhW8xx63mso/qH5AabiGHbCEAekxTU5MeeOAB7dmzR42NjTp//rxqamp09uzZqPNuv/12tbW1RR7btkX/S6O+vl5btmzRpk2b1NzcrDNnzmjOnDm6cOGCnR8HAAA4gHsBe9wHH3ygsrIyNTU16aabbpJ0qQL40UcfaevWrTFf09nZqdGjR+vFF1/UggULJEm///3vNXbsWG3btk233XbboH83fC/gf126VoWBzO8F7OZ2cCK0hzNDBdBZtIG9L5OWMPcCNhtzAD2us7NTklRaWhp1fNeuXSorK9Nf/MVfaMaMGfrud7+rsrIySdK+fft07tw51dTURM6vrKxUdXW1WlpaYgbAUCikUCgU+b2rqysXH8dz4rWECYYA7NC/JcwcQSSLFrCHWZalpUuXavr06aquro4cr62t1U9+8hPt3LlTjz/+uPbu3atbbrklEuDa29s1dOhQjRgxIur9ysvL1d7eHvNvNTQ0qKSkJPIYO3Zs7j4YAADIKQKghy1ZskQHDhzQT3/606jjCxYs0B133KHq6mrdeeedevPNN/WrX/1Kb7zxRsL3syxLeXl5MZ9bsWKFOjs7I4/W1tasfIaRdxR5tv2bCItFkvOjL37D6SEY7dDdWyOrguEPGx/dxkIRJIUWsEfV1dXp9ddf1+7duzVmzJiE51ZUVGj8+PE6evSoJCkYDKq3t1enT5+OqgJ2dHRo2rRpMd8jEAgoEAhk7wMYIFYIpDUMwA6Jto4JP/elb0+3dUxwFyqAHmNZlpYsWaJXX31VO3fuVFVV1aCvOXXqlFpbW1VRUSFJmjx5sgoKCtTY2Bg5p62tTYcOHYobAAEAgH+wCthjFi9erJdfflmvvfaaPvOZz0SOl5SUaNiwYTpz5oxWrVqlL33pS6qoqNDx48f18MMP68SJE3rvvfdUVHSp3fqNb3xDP/vZz7RhwwaVlpZq+fLlOnXqlPbt26f8/PxBx5GNVcB+bP2miorgJX1XA4fbwqwQthcrgs3T+6eP9fw/LmIVsKFoAXvMM89c+o/izJkzo44///zzWrRokfLz83Xw4EFt3LhRH330kSoqKnTzzTdr8+bNkfAnSU888YSGDBmi+fPnq6enR7feeqs2bNiQVPjLFMHvsv5tYlMDYay5gH2PEQYBILsIgB4zWMF22LBh2r59+6Dvc+WVV+qpp57SU089la2hAQAAjyAAIi3hIPpx6E8pvzZwlq9dPGfWHor8PGzZ4PM7TfGDOX8b9Xv9T59zaCT+dM1rd6hXHzs9DNis9089kgYvLMCfmAOItJw8eZK9AAHAB1pbWwfdTQL+QwBEWi5evKgjR47ommuuUWtrKxOIY+jq6tLYsWO5PnFwfRLj+gyOa5TYYNfHsix1d3ersrJSV1zBpiCmoReHtFxxxRX65Cc/KUkqLi7mX74JcH0S4/okxvUZHNcosUTXp6SkxObRwC2I/AAAAIYhAAIAABiGAIi0BQIBrVy5klvExcH1SYzrkxjXZ3Bco8S4PkiERSAAAACGoQIIAABgGAIgAACAYQiAAAAAhiEAAgAAGIYAiLT88Ic/VFVVla688kpNnjxZP//5z50ekiNWrVqlvLy8qEcwGIw8b1mWVq1apcrKSg0bNkwzZ87U4cOHHRxx7u3evVt33nmnKisrlZeXp61bt0Y9n8w1CYVCqqur06hRo1RYWKi5c+fq5MmTNn6K3Bns+ixatGjAd2rq1KlR5/j1+jQ0NOiGG25QUVGRysrKdNddd+nIkSNR55j+/UnmGpn8HULyCIBI2ebNm1VfX69HHnlE+/fv1xe+8AXV1tbqxIkTTg/NERMmTFBbW1vkcfDgwchza9eu1bp167R+/Xrt3btXwWBQs2fPVnd3t4Mjzq2zZ89q0qRJWr9+fcznk7km9fX12rJlizZt2qTm5madOXNGc+bM0YULF+z6GDkz2PWRpNtvvz3qO7Vt27ao5/16fZqamvTAAw9oz549amxs1Pnz51VTU6OzZ89GzjH9+5PMNZLM/Q4hBRaQor/6q7+y7r///qhjn/3sZ61vfetbDo3IOStXrrQmTZoU87mLFy9awWDQeuyxxyLH/vSnP1klJSXWj370I5tG6CxJ1pYtWyK/J3NNPvroI6ugoMDatGlT5Jzf/e531hVXXGH927/9m21jt0P/62NZlrVw4ULri1/8YtzXmHR9Ojo6LElWU1OTZVl8f2Lpf40si+8QkkMFECnp7e3Vvn37VFNTE3W8pqZGLS0tDo3KWUePHlVlZaWqqqr0la98Re+//74k6dixY2pvb4+6VoFAQDNmzDD2WiVzTfbt26dz585FnVNZWanq6mpjrtuuXbtUVlamq6++Wvfdd586Ojoiz5l0fTo7OyVJpaWlkvj+xNL/GoXxHcJgCIBIyYcffqgLFy6ovLw86nh5ebna29sdGpVzpkyZoo0bN2r79u169tln1d7ermnTpunUqVOR68G1uiyZa9Le3q6hQ4dqxIgRcc/xs9raWv3kJz/Rzp079fjjj2vv3r265ZZbFAqFJJlzfSzL0tKlSzV9+nRVV1dL4vvTX6xrJPEdQnKGOD0AeFNeXl7U75ZlDThmgtra2sjPEydO1I033qhPf/rTeuGFFyKTrrlWA6VzTUy5bgsWLIj8XF1dreuvv17jx4/XG2+8oXnz5sV9nd+uz5IlS3TgwAE1NzcPeI7vzyXxrhHfISSDCiBSMmrUKOXn5w/4v8SOjo4B/1duosLCQk2cOFFHjx6NrAbmWl2WzDUJBoPq7e3V6dOn455jkoqKCo0fP15Hjx6VZMb1qaur0+uvv663335bY8aMiRzn+3NZvGsUi4nfIQyOAIiUDB06VJMnT1ZjY2PU8cbGRk2bNs2hUblHKBTSe++9p4qKClVVVSkYDEZdq97eXjU1NRl7rZK5JpMnT1ZBQUHUOW1tbTp06JCR1+3UqVNqbW1VRUWFJH9fH8uytGTJEr366qvauXOnqqqqop7n+zP4NYrFpO8QUuDM2hN42aZNm6yCggLrueees959912rvr7eKiwstI4fP+700Gy3bNkya9euXdb7779v7dmzx5ozZ45VVFQUuRaPPfaYVVJSYr366qvWwYMHra9+9atWRUWF1dXV5fDIc6e7u9vav3+/tX//fkuStW7dOmv//v3Wb3/7W8uykrsm999/vzVmzBhrx44d1i9+8QvrlltusSZNmmSdP3/eqY+VNYmuT3d3t7Vs2TKrpaXFOnbsmPX2229bN954o/XJT37SiOvzjW98wyopKbF27dpltbW1RR4ff/xx5BzTvz+DXSPTv0NIHgEQaXn66aet8ePHW0OHDrWuu+66qC0ITLJgwQKroqLCKigosCorK6158+ZZhw8fjjx/8eJFa+XKlVYwGLQCgYB10003WQcPHnRwxLn39ttvW5IGPBYuXGhZVnLXpKenx1qyZIlVWlpqDRs2zJozZ4514sQJBz5N9iW6Ph9//LFVU1NjjR492iooKLDGjRtnLVy4cMBn9+v1iXVdJFnPP/985BzTvz+DXSPTv0NIXp5lWZZ99UYAAAA4jTmAAAAAhiEAAgAAGIYACAAAYBgCIAAAgGEIgAAAAIYhAAIAABiGAAgAAGAYAiAAAIBhCIAAAACGIQACAAAYhgAIAABgGAIgAACAYQiAAAAAhiEAAgAAGIYACAAAYBgCIAAAgGEIgAAAAIYhAAIAABiGAAgAAGAYAiAAAIBhCIAAAACGIQACAAAYhgAIAABgGAIgAACAYQiAAAAAhiEAAgAAGIYACAAAYBgCIAAAgGEIgAAAAIYhAAIAABiGAAgAAGCY/w88W5xP7ooneAAAAABJRU5ErkJggg==\"></img>\n",
       "</td>\n",
       "<td style=\"text-align: center; vertical-align: top;\">\n",
       "<b><a href=\"https://www.napari-hub.org/plugins/napari-segment-blobs-and-things-with-membranes\" target=\"_blank\">nsbatwm made </a>image</b><br/>\n",
       "<table>\n",
       "<tr><td>shape</td><td>(256,&nbsp;256)</td></tr>\n",
       "<tr><td>dtype</td><td>int32</td></tr>\n",
       "<tr><td>size</td><td>256.0 kB</td></tr>\n",
       "<tr><td>min</td><td>1</td></tr><tr><td>max</td><td>27</td></tr>\n",
       "</table>\n",
       "\n",
       "</td>\n",
       "</tr>\n",
       "</table>"
      ],
      "text/plain": [
       "StackViewNDArray([[ 5,  5,  5, ...,  3,  3,  3],\n",
       "                  [ 5,  5,  5, ...,  3,  3,  3],\n",
       "                  [ 5,  5,  5, ...,  3,  3,  3],\n",
       "                  ...,\n",
       "                  [24, 24, 24, ..., 27, 27, 27],\n",
       "                  [24, 24, 24, ..., 27, 27, 27],\n",
       "                  [24, 24, 24, ..., 27, 27, 27]])"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "labels = nsbatwm.local_minima_seeded_watershed(membranes)\n",
    "labels"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a41aa9d2-b2d9-4f14-aa1e-1203a1a2a7ab",
   "metadata": {},
   "source": [
    "## Label erosion\n",
    "Label erosion works exactly like erosion on binary images. The only difference is that it works on a per-label basis. Each label is eroded independently from the others introducing black (`0`) regions between them."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "1f45f51e-773e-4b6b-8511-228e7e6c8029",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<tr>\n",
       "<td>\n",
       "<img 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rQOMCLZhH/+GCeNff5362Qb2yYM1gv9tAgAAAF8RAGEExr/Zi/r357dCG0239vlD4RbccjOtKZAlrgFEoAh++eG6QBSqr+vlbA9RbAkDG9jzGxMAAACSaAARETa1fz090DrAtxaQxR+ZBbUptFerXgt53ai0h7bdIxj2IQAiMG6Of23GONgOYdniJNvj9DIourklDONgRBUBEL7juj9v+NkGRo1bewJetOuPrraAYQl9+Uj3vUWlPQTCgN+eAAAAliEAwle0f94yZbNom/XcFoYtYnKz9KfPutZ6urklDBtEI4r4TQHfcM2ffwiB+WGhixkSQdCNMMhYGUiP3xIAAACWYREIQod2C6Zj9Oueni1gvm1e4vMKbRTZGgZRQgCE57juLxhsD5Mft1YEw31Lf/qsESPdntcDEgYRVvw2BQAAsEzMcRwn6INA+HR2dqqiokL/8PfTVFJc1Odz3WgAaf4K42YLaNNCCVpAc+XbBHq5t2LY2kDn+Ak5L2xSR0eHysvLgz4c+IzfqvAU4c8MnENEjYmbZLNdDMKE3woAAACWIQAClmCT6NzZNO4OIzc3jnZTogmkDYTJWAUMT7i18pfAYp6Plm0iGBlu1Ix9nn+N7euGef413BB0QDz1sw2huzYQduC3KwAAgGVYBYy89LcKmAbQbG6tCrapCTRxRbAfTV+h/GoKe68KDrr5683EFpBVwHYjACIvfQVAVv6aj21h8hNkCAxD2MtFWEbIXjAlDBIA7cY1gABggKgFvP6MmrHP2hDInURgAmoWAAAAyzACRl7SjYC57i98GAXnx4tRsG0NYG+2toEJQTSBjIDtxggYsNgDrQNcC4E2bQ8zZPZ4V0Og7eFPsnskLCntnoGFhkL2IURfqFoAAAAsQwMIYzD6DUbivLs5Dkb2aP8+kzgXNjeBPdHgwUv8xoUr3Lr+D+Fm4l55Xhkye3xBI+9RM/YR/jLgvADeIwACAABYhgAIIzD+DR7/DQDAHmwDg7wktoFxC+HDLG5cDxj1FcGFjrsZc2aH6wG9xzYwduK3LgAAgGUIgAAAY9GUAt5gGxgEitGvmdzcIBowydhrjmV87De/KvXxSIBgEQABAJHWV+hL97xCg+ANi36c/POrD3ynoNcCvEL9AgAAYBkCIALD+Ndshf73sWlT6FxxXZs9blj045RGEDAFI2AAyBHh1j+FbgOT7fi39+cUMgZON/ZNhEBGwjAFFQwAAIBlaAABAMaJ2gbQieYv0zjYz2YwcQwnuo7p9R9917evC7MQAAEA8MmrD3wnbQhM97F8QiHXGyJbjIABAAAsQwMIIKPESmA2hYafojb+7a2/cXACbR68RAAE4JnEatkhs8cHfCTuKHT1L9u/+Cef1b/pPt/Lu4NkGgcDfmAEDAAAYBkaQACAEdwa/Rba/vV+La9bQIlxL/xHAwgAQB/GXnPM1VCZDhtEw280gACQBe7+4S032j+vQ5rXaAPhJxpAAAAAyxAAAcAHrADOLOrbvuSKcTD8QAAEAISel+Pf3/yq1NOFIOkQAuE1AiAAAIBlWAQCAH1g8Yd3GP32jUUh8BINIAB4aNSMfVz/l4ab4S/sq3/7wzgYXiAAhsymTZs0ZcoU1dTUKBaLaf369SmPO46jxYsXq6amRqWlpZowYYJ27tyZ8pyuri7NmTNHQ4YM0eDBg3XjjTdq//79Pn4XAAAgSATAkDl69KhGjx6tZcuWpX186dKlevjhh7Vs2TJt3bpV8Xhc1113nQ4fPpx8TmNjo55//nmtXbtWmzdv1pEjRzR58mSdPHnSr29DkrSo9pSvXw/5e6CVvyrgju3rhrl6xw+v2z+/F38AfuEawJBpaGhQQ0ND2sccx9Gjjz6qRYsWadq0aZKkVatWqaqqSmvWrNGdd96pjo4OLV++XKtXr9a1114rSXr66adVW1ur119/Xddff71v3wvCg7AON9h4zd8dRefryeMfFPw6XA8It/HP+gjZs2eP2traVF9fn/xYSUmJrr76am3ZskWS1NLSouPHj6c8p6amRnV1dcnnAACAaKMBjJC2tjZJUlVVVcrHq6qq9OGHHyafU1xcrLPPPvu05yQ+P52uri51dXUl3+/s7HTrsAFjFboCmMUf3gnT6NetFhBwEw1gBMVisZT3Hcc57WO99fecpqYmVVRUJN9qa2tdOVYA0Re26/68cEfR+bqj6PyCX4cVwXALATBC4vG4JJ3W5LW3tydbwXg8ru7ubh06dCjjc9JZuHChOjo6km+tra0uHz2AKLJ1uxe3Ah/gFQJghIwYMULxeFzNzc3Jj3V3d2vjxo0aN26cJGnMmDEqKipKec6BAwe0Y8eO5HPSKSkpUXl5ecobAAAIJ64BDJkjR47oz3/+c/L9PXv26Pe//70qKys1bNgwNTY2asmSJRo5cqRGjhypJUuW6Mwzz9Stt94qSaqoqNDtt9+uefPm6ZxzzlFlZaXmz5+vUaNGJVcF+4WtRWAy7gBSGFubv/64cT0gK4LhBgJgyLzzzjuaOHFi8v25c+dKkmbOnKmVK1dqwYIFOnbsmO655x4dOnRIY8eO1WuvvaaysrLk5zzyyCMaNGiQpk+frmPHjumaa67RypUrNXDgQN+/H5iN7V/yw+IPuzH6RRgQAENmwoQJchwn4+OxWEyLFy/W4sWLMz7njDPO0GOPPabHHnvMgyMEAACmIwDCd4x+w8GN9m/I7PEuHAnChvFv3xINIVvDIEgEQPiK8BcONo9+ufavMG5u9wLAO/w2BgAAsAwNIHxD+wcb2LoAhLFv7rhDCIJEAERBfvBeTGeU9X2XEZjLy1Ev1/8hrNy8DRxgKioZAAAAy9AAAhai+YObWPgRjFcf+A6bQSNvBEDAMjav8PWabdf/cd0fEF4EQMASfgW/xDYqNIHRRvgzA7eFQ764BhAAAMAyBEDAAox9s8Mm0P3bvm6Yq+1flNxRdH5g9wFONIFAtgiAQMQR/uAWt4Pf2GuOWT/+dTM0EgKRCwIgAACAZVgEAkRU0M3fR8s2sRAkIrwY+ZrY/EVhA2gWhSBbBEAgQoIOfb31vKaOMBhOXox9cTpuCwe/MQIGAACwDA0gjOFle/VAa3T/rWNa65dJlNvAqG4ATfvnr8RiEDeaQO4Sgv4QABEov8JLpq8T1mAYltCXSe/tVqIWCMOO4Bcst8bBXA+IvoTztx8AAADyRgMIT4SloerrOE1qB8NyPvMV9HiYDaA/Q/uXH7c3gHZzUUjP/QFpA5FAAIRrohZSCvl+sg2PUTtnbgg6DNqK4GcHrg1EAgEQBfnfFzmSnKAPwzgEO3cQBv1B+DNzD0A3F4X0lGgEr53/z66+LsLFnBkXAAAAfEEDCCAUaAPdZ8sdPsLOq02iX//Rd11/TYQHDSCA0HFz0UahrxXWPQC9GPsS/rxzR9H5ri80gd0IgAAAAJZhBAwgozc29f9vxInjg1nwwkg4P4x9w417BsMtBEAAGSXCXV9BMPFYUEFQIgxmi9W+7gtiLOvV6mDYhREwAACAZWgAAbjChCZQyr4NtO3uH7R/0cM4GIUgAMJ4P27qf6T3nYV2/TLPRs/z5uf56TkuNiUM9g6CboS/MKz+9eJ6P5iFcTDyxQgYAADAMjSAMFI2rV8uz7elIcz1vGVr4vhTWa0I7i3d5wTRCmZqAqPKy+aP0a+ZGAcjVzHHcbiRK3LW2dmpioqKnD/Pq4BSqLAGxFzOZ6HfYz4BsD9Bj4gLYeoImPCXn3zvBWzq5sy5hMGOjg6Vl5d7eDQwEQ0gPGdq6Osp32P0KjiG4Zy5wZSFI7kyLfx5fa1flINfVNEIoj9cAwgAAGAZGkB4wpYGy5bv02smrRwOEz9W+dL+hRcrhNEXGkC4jlBkph83jQ/Ff5s3Ng1IvpnKhO1VCH/IlqnXKSJY5v4NCwAAAE8wAkZB/vm+cSo9gx8jeMPkRSKJBi6IBSGs9EWuGAejN35zA5YI61Y3EtcIJhD8UKie4+Bu55RWntgb3MEgUIyAAQAALEMABBAqpi8Q8QrtHwA3MQIGEEqmjIW3rxvm2XWAbPAMwCv2/TMaAADAcjSAQESFedFHrkxeLZwtv/cWpP0D7EYABCLI7fAXlmvuTBkL54LgByAIBEAgImxq/LLxxqYBvoXAbEJcz+sEg7iTCMEvvd/8qjToQwACEY5/1gMAAMA1NIBAiNH69c2kawODun8wzR+AdAiAQAgR/HLj5zjYJIQ/AJkwAgYAALAMDSAQErR+hbGlBaT1A5ANAiBgOBOC38Txp0KzFUxfTLom0G0EP//dUXR+0IcA5C38f6MDAAAgJzSAgIFMaP2iLIwbRveF9g9ArgiAgCEIfcEI87WBBD8A+WIEDAAAYBkaQCBAtH5mCNviEJo/AIUiAAI+C2voS4SjKKwGzsTEcTBhD4AXCICAx0wJfCumPCtJuu2lmwM+ErOZ0AYS+vzxm1+VBn0IQGCi+0/5iNq0aZOmTJmimpoaxWIxrV+/PuXxWbNmKRaLpbxddtllKc/p6urSnDlzNGTIEA0ePFg33nij9u/f7+N3AQAAgkQDGDJHjx7V6NGjddttt+mmm25K+5wbbrhBK1asSL5fXFyc8nhjY6NeeuklrV27Vuecc47mzZunyZMnq6WlRQMHDvT0+G1iWvOH3Pg9Dqb1A+AnAmDINDQ0qKGhoc/nlJSUKB6Pp32so6NDy5cv1+rVq3XttddKkp5++mnV1tbq9ddf1/XXX+/6MUeZKSGvN0KfO7zcL5DAByBIjIAj6M0339TQoUN14YUX6tvf/rba29uTj7W0tOj48eOqr69PfqympkZ1dXXasmVLEIcLAAB8RgMYMQ0NDbr55ps1fPhw7dmzRz/4wQ80adIktbS0qKSkRG1tbSouLtbZZ5+d8nlVVVVqa2vL+LpdXV3q6upKvt/Z2enZ92AyUxu/hGyavxVTnmUhSB56r342bbUwAOSCABgxM2bMSP65rq5OF198sYYPH66XX35Z06ZNy/h5juMoFotlfLypqUn333//aR//7v2ftYY/bhqf51GbyfSwl8C4N3wY/4bbHUXnB30IQMEYAUdcdXW1hg8frt27d0uS4vG4uru7dejQoZTntbe3q6qqKuPrLFy4UB0dHcm31tZWT48bAAB4hwYw4g4ePKjW1lZVV1dLksaMGaOioiI1Nzdr+vTpkqQDBw5ox44dWrp0acbXKSkpUUlJSZ9fq2djFvY20PT2j9YPKAx7AMJ2BMCQOXLkiP785z8n39+zZ49+//vfq7KyUpWVlVq8eLFuuukmVVdXa+/evfr+97+vIUOG6G//9m8lSRUVFbr99ts1b948nXPOOaqsrNT8+fM1atSo5KpgNyQCVJiCIKEPAGALAmDIvPPOO5o4cWLy/blz50qSZs6cqSeeeELbt2/XU089pY8//ljV1dWaOHGi1q1bp7KysuTnPPLIIxo0aJCmT5+uY8eO6ZprrtHKlSvZAxAAAEvEHMdxgj4IhE9nZ6cqKipy+hyT20CT2z8vmr9CVgFH+V7AuSh0FTALQYJVyAg4KotAup1TWnlirzo6OlReXh704cBnNIDwjYljYVODH+NewBtc+wd8igAI35kSBE0Lf4Q+wHxRaf8AZjkAAACWoQFEYL6zcFPgLWBQaPsAAEEiACJQpoyD/UT4A7zFdX5A/xgBAwAAWIYGEPAALR/grSBaPhaAIEoIgECBCHuAOxjdAv5hBAwAAGAZGkAYIUwrgmn8UCjuApKK5g/wHwEQxrBxRTDCqdDbwNmGgAeYhxEwAACAZWgAUZB/f2ilykrP1NB7pgd9KIDnbGz+aO9Y/YtoIgDCFe2PP0MIBEKAQJcbwh+iigAI17Q//owkFRwEw7QgBDAZYa9wTx7/gBCISOIaQAAAAMvQAMJ1boyDvVwRnHhtIBduXP/n5fYvtH3IxpPHPwj6EGAIAiCMxjgYUeFF+CP0+SMRmsI8Cib4oTdGwAAAAJahAYTx3GwBGf9Kt710c0GfP3H8Kb2xyZ5/O5q09QuNH/JB+4d0CIAIhUKuCST0IV+Ev3DZuntVn49fMnJmQa8fthXBBD/0xZ5/xgMAAEASDSBCpmeb11cb6FXrt2LKs568rh8KHf32lGjGojwKdqv9K2TxB63fp/pr9nA62j/0hwCI0OodBhn1+i9q1wOaMPIl9H3Ki9C3dfeqyI+BCX7IVnT+5gYAAEBWaAARCV63f2Ee/aJvXrZ+uYx/bWz+GO26i/YPuSAAAv2IQvhz8/q/3sJ6PaAJ414pvMEvrOEtcdyFjoJNQ/hDrgiAQAZRCH5+CtP1gF6Hv2yaP9OCX1gDne0IfshXOP62BgAAgGtoAIE0aP/y07NZM7EN9Gvsm67d69kKBtn+0fR9qpAVwabcG5j2D4UgAAI9EPzck03YMjEkeiWo0Efgix6CH9xgz9++AAAAkEQDCA8MvWd60IeQF9o///XXEtrUELqJ1g9AfwiAgAh/pjL9mkJTEPjswfgXbuFvVAAAAMvQAMI4K6Y86+nGxT2/jg38OJd+KGQFb1TbQ5q/wrhxb2C/eNH8vVb+F9V31rj+uggHAiCM1DOcuRlgbAl9SGXKXT/cQvCzi9vh79cVRyRJR51OV18X4RLNfxYDAAAgIxpAGCNTO1doG0jrhyig9bOPF2PfRPsHEABhjES46yuwEeb8tX30W5KkUX+4KuAjsRfBz1xPHv8g8LuBZIvgh94IgADSSoS/3n8mDHqP0Ac32z/CH9LhGkAAAADLEAAB5KRnGwj30f7Brfbv1xVHaP+QESNgIKK83P+PkbD7CH5wE8EP/aEBBAAAsAwNIFzX/vgzGnrP9Lw//7aXbma1b4hkMxK2pSVMtHi53l2C9g8S9/mFvwiAQASZdvu3/kJi1AJiLkGQ8AcgCIyAAQAALEMDCESIac1ftqK6qIR2D9lyc+UvkA0CIIDTBLnVS7qvbXooJOghX2z4jKAwAgYAALAMDSA80f74M5KU92rgbO4LjFRhHf9mI59G0vTWEHAT7R9yRQMIIGn76Lcic6cPv74Pxr/IF9u+IEg0gEDIudX8RSX4JfjVAF4yciYhMMTy3buxEFz3BxPQAAIAAFiGBhAIsShf95evIK79S7RHNIHoD+0fTEEABCwXtdEvAKB/jIABAAAsQwMIT+S7/Quyw+g3PbZ+gakY/cI0BEAgZNwMf1EZ/xL8kC8/Vv8S/mAiRsAAAACWoQEEQoLmLz2T2j/2BIRXaP7gNhrAkGlqatIll1yisrIyDR06VFOnTtWuXbtSnuM4jhYvXqyamhqVlpZqwoQJ2rlzZ8pzurq6NGfOHA0ZMkSDBw/WjTfeqP379/v5rSAHXPN3ulF/uMr18HfF3lsLfg0/NxRGYcI2/gXcRAAMmY0bN+ree+/V22+/rebmZp04cUL19fU6evRo8jlLly7Vww8/rGXLlmnr1q2Kx+O67rrrdPjw4eRzGhsb9fzzz2vt2rXavHmzjhw5osmTJ+vkyZNBfFsAAMBHjIBD5tVXX015f8WKFRo6dKhaWlo0fvx4OY6jRx99VIsWLdK0adMkSatWrVJVVZXWrFmjO++8Ux0dHVq+fLlWr16ta6+9VpL09NNPq7a2Vq+//rquv/5637+vTG576WatmPJs0IcRKVEY/5rY/PXExtBg4QdMRwMYch0dHZKkyspKSdKePXvU1tam+vr65HNKSkp09dVXa8uWLZKklpYWHT9+POU5NTU1qqurSz6nt66uLnV2dqa8wR9u3us3CuHPbW6HP4SDG+PfO4rOd+FIMvt1xRHCHzxDAAwxx3E0d+5cXXnllaqrq5MktbW1SZKqqqpSnltVVZV8rK2tTcXFxTr77LMzPqe3pqYmVVRUJN9qa2vd/nYAAIBPGAGH2OzZs/Xuu+9q8+bNpz0Wi8VS3ncc57SP9dbXcxYuXKi5c+cm3+/s7PQtBNo6BmbVb3pujX8zNX+Jj//6f6wp+GuwKtgeLPZA2BAAQ2rOnDl68cUXtWnTJp133nnJj8fjcUmftnzV1dXJj7e3tydbwXg8ru7ubh06dCilBWxvb9e4cePSfr2SkhKVlJRkfXztjz8jiTuC5Ivw561sxr5X7L3VlRCI6Ok5+vUq+DH6hdcYAYeM4ziaPXu2nnvuOW3YsEEjRoxIeXzEiBGKx+Nqbm5Ofqy7u1sbN25MhrsxY8aoqKgo5TkHDhzQjh07MgbAfCWCILJz20s3s+WLh67Ye2tO1/y5tS0MW8OYw83/HoQ/hBkNYMjce++9WrNmjV544QWVlZUlr9mrqKhQaWmpYrGYGhsbtWTJEo0cOVIjR47UkiVLdOaZZ+rWW29NPvf222/XvHnzdM4556iyslLz58/XqFGjkquCAQBAdBEAQ+aJJ56QJE2YMCHl4ytWrNCsWbMkSQsWLNCxY8d0zz336NChQxo7dqxee+01lZWVJZ//yCOPaNCgQZo+fbqOHTuma665RitXrtTAgQNdP2Y3xsGJVizK1wK63fxFbfRr0h0/YK87is7nej9EQsxxHCfog0D4dHZ2qqKiQv/+0EqVlZ6Z9ecVek1gFAOgFyPfqIU/qfAAWOg4183rAVkYEhyTx/F+j36POp2q76xRR0eHysvLff3aCB7XAAIAAFiGAAgEyIuxL+2f+UxuoQDYgQAIBMCL1b5RDH4m8eJ2cQTBcPHyzh+s/IXfCIAAAACWIQDCV4XuCxiFPfIY+/rP5Pv90gLajfv9IigEQMBHUQiwNst1I2lEi9vbvxD8ECQCIAAAgGXYCBrwmJetH6PfvnnV1rl9n+BLRs5kb0BL0PrBFARAwANej3ptCX4mb/+SCJduBcHEtYAEwWgi+ME0BED4rtBbw5l6Wzi/ru+zJfyFBW0ggDDiGkAAAADL0AAitG576WYjWkCaP3g1DpYYCRfKhG12GP/CRARAhFq68OV1KAxiKxcbw5/J1/9l4vY4WOLawHyZEPwAkzECBgAAsAwNICLHrUUipmzabGP754aobdjM4pD+mdj6Mf6FqQiACEz748/kvRI4G6YEuHwR/MLJizFwAtcGZmZi+ANMxggYAADAMjSAgIFo/8LN7VXB6TASpvUDCkEARGC8HP+GEaHvU4Wu/jXp2j8vx8GS3SuETQ9/XPsH0zECBgAAsAwNIBAwmr9oYxzsLtObP4n2D+FAAITvGP0S+mzUczTtRRiM8jg4DKEPCBsCIOAjgh8k77eKCWsIDHvQo/lDmHANIAAAgGVoAAGP0fplL0orgPvj5bWBYRwHh739k6QrOs6SRBOIcCAAAh4h+CEbfiwSMUkUgh4QBYyAAQAALEMDCF8VugK4Z6tW6LjQbTR+KIQXTaBpC0JMaP/u/NEz/T7n/8wv7O+pKzrOYgwM4xEAEVpBhUGCHrzk9grhoK4HNCHsJWQT+gDbMAIGAACwTMxxHCfog0D4dHZ2qqKiQv/+0EqVlZ6Z1ee4sQG0m+1bX60hLZ+/bFr9mys320A/WkCTmj8p//av0DFwgsmj4KNOp+o7a9TR0aHy8vKgDwc+YwQMT4Thbh+EPNjGjWsCTQt46TDyBfrHCBgAAMAyjICRl8QI2C+0ddHGCLh/bu8T2LMJDEOrlw0vmj83RsGmjoEZAduNETAAhIBXq4OjwuSxL9vCwEQ0gMiL3w1gJjSD0VBIA2hD+9ebLXcN6Y9foc+tBSGSWW0gDaDduAYQAADAMoyAEWqJ5ogmMLxMu6NLGLg9DjadyeNdIKxoABEJhAjYxpbRtwnh784fPePacVzRcZYrrwMUigAIAABgGRaBIC+mLAJJh3FwuLAFTOGiNg42ofXLJEoLQlgEYjcCIPJicgCUCIFhQgB0R5hDoMmBL52ohEACoN0YAQMAAFiGVcCIpFF/uIoWMATY/88+YWv7vJZYFBL0OBj2YQSMvJg+Au6JIGguAqD7TBwFRzX0uTkKTsfrUMgI2G6MgAEAACxDA4i8hKkB7I1G0Bw0gN4IogWMasvXH69bQMm7JpAG0G5cAwjr9AwdhEEgszt/9EyfAcfW0NdT4hx4GQSv6DiLawThOhpA5CWfBvC3m1dmfOzSK2cVdkAuIAz6h61fvOVmA0jIy17Y2kAaQLtxDSAAAIBlaACRFzeuAeyrEezN74aQNtBbNID+cKMJpAHMnZdNIA0g3EIDiMDkEup+u3llToGxUKP+cFXyDQByQWhGGBAAAQAALMMqYAQq0QJm2+79dvNK38fBrBp2F60qbODV6uDEnUMk7h6CwnANIPLixT6AuY54WTkcLm4FP67/6x+rgM1i6jWBXANoN0bAAAAAliEAwhiXXjkr54UhQWOxSHY4P7CZly3qFR1nJd+AXHANIIxz6ZWzcromMPE5QcsUchgTA/DrjiE9cY0g+kIDCAAAYBkWgSAvXiwCScfkzaJzYWsL6Obol8Uf2XNrEQgLQLzlx63jpMxNIItA7EYARF78CoBS/tf6EQiDx8rfYBAAw8OvENgXAqCdGAGHTFNTky655BKVlZVp6NChmjp1qnbt2pXynFmzZikWi6W8XXbZZSnP6erq0pw5czRkyBANHjxYN954o/bv3+/nt+K5xN1DTFgs0lvPxSMsIgHsdeePniFoIxAEwJDZuHGj7r33Xr399ttqbm7WiRMnVF9fr6NHj6Y874YbbtCBAweSb6+88krK442NjXr++ee1du1abd68WUeOHNHkyZN18uRJP78dAAAQAEbAIfdf//VfGjp0qDZu3Kjx48dL+rQB/Pjjj7V+/fq0n9PR0aFzzz1Xq1ev1owZMyRJf/nLX1RbW6tXXnlF119/fb9fNzEC/tncpRpcUpryWEPTnMK+qV7cbvBMHg33FIUxsRfNJuPg7LkxCqad8k9Q42BGwHZiG5iQ6+jokCRVVlamfPzNN9/U0KFD9bnPfU5XX321HnjgAQ0dOlSS1NLSouPHj6u+vj75/JqaGtXV1WnLli1pA2BXV5e6urqS73d2dmY8pl8sfCzlfbcDYaF6BkqTwyC3oEuvd6ghECIq/NgqBkhgBBxijuNo7ty5uvLKK1VXV5f8eENDg37yk59ow4YNeuihh7R161ZNmjQpGeDa2tpUXFyss88+O+X1qqqq1NbWlvZrNTU1qaKiIvlWW1vr3TcGAAA8RQAMsdmzZ+vdd9/VT3/605SPz5gxQ3/zN3+juro6TZkyRb/4xS/0pz/9SS+//HKfr+c4jmKxWNrHFi5cqI6OjuRba2trVsdoWvvXm8kLRXpikUhmbt73NmrcaEdpo/zH2B1+YAQcUnPmzNGLL76oTZs26bzzzuvzudXV1Ro+fLh2794tSYrH4+ru7tahQ4dSWsD29naNGzcu7WuUlJSopKQk6+MzPfilY/poOBECGQefLhECGQcjKnqGQEI4vEADGDKO42j27Nl67rnntGHDBo0YMaLfzzl48KBaW1tVXV0tSRozZoyKiorU3NycfM6BAwe0Y8eOjAEQAABEB6uAQ+aee+7RmjVr9MILL+iLX/xi8uMVFRUqLS3VkSNHtHjxYt10002qrq7W3r179f3vf1/79u3T+++/r7KyMknS3XffrZ///OdauXKlKisrNX/+fB08eFAtLS0aOHBgv8fR1ypgyb0G0JTRrGmNYNhaQD9H2LSA6RUyKmckGTwvW0BWAduJEXDIPPHEE5KkCRMmpHx8xYoVmjVrlgYOHKjt27frqaee0scff6zq6mpNnDhR69atS4Y/SXrkkUc0aNAgTZ8+XceOHdM111yjlStXZhX+bGT6eBhAtDEShtsIgCHTX2FbWlqqX/7yl/2+zhlnnKHHHntMjz32WL/PBQAA0UIARF4SQfSTrr968vobfvlp03nk6DFPXr8QiWPrbdL1d/t2DEdOHu3/SQb5f3Wv6vIdN/jytU4cPu7L17FJ918/CfoQ0MNtP1x52sdW/K9Zeb8eV4LZiWsAkZf9+/ezFyAAREBra2u/u0kgegiAyMupU6e0a9cuXXTRRWptbeUC4jQ6OztVW1vL+cmA89M3zk//OEd96+/8OI6jw4cPq6amRgMGsCmIbRgBIy8DBgzQ5z//eUlSeXk5f/n2gfPTN85P3zg//eMc9a2v81NRUeHz0cAURH4AAADLEAABAAAsQwBE3kpKSnTffffldIs4m3B++sb56Rvnp3+co75xftAXFoEAAABYhgYQAADAMgRAAAAAyxAAAQAALEMABAAAsAwBEHl5/PHHNWLECJ1xxhkaM2aM3nrrraAPKRCLFy9WLBZLeYvH48nHHcfR4sWLVVNTo9LSUk2YMEE7d+4M8Ii9t2nTJk2ZMkU1NTWKxWJav359yuPZnJOuri7NmTNHQ4YM0eDBg3XjjTdq//79Pn4X3unv/MyaNeu0n6nLLrss5TlRPT9NTU265JJLVFZWpqFDh2rq1KnatWtXynNs//nJ5hzZ/DOE7BEAkbN169apsbFRixYt0rZt23TVVVepoaFB+/btC/rQAvGVr3xFBw4cSL5t3749+djSpUv18MMPa9myZdq6davi8biuu+46HT58OMAj9tbRo0c1evRoLVu2LO3j2ZyTxsZGPf/881q7dq02b96sI0eOaPLkyTp58qRf34Zn+js/knTDDTek/Ey98sorKY9H9fxs3LhR9957r95++201NzfrxIkTqq+v19GjR5PPsf3nJ5tzJNn7M4QcOECOLr30Uueuu+5K+diXvvQl53vf+15ARxSc++67zxk9enTax06dOuXE43HnwQcfTH7sr3/9q1NRUeH867/+q09HGCxJzvPPP598P5tz8vHHHztFRUXO2rVrk8/5j//4D2fAgAHOq6++6tux+6H3+XEcx5k5c6bz9a9/PePn2HR+2tvbHUnOxo0bHcfh5yed3ufIcfgZQnZoAJGT7u5utbS0qL6+PuXj9fX12rJlS0BHFazdu3erpqZGI0aM0N/93d/pgw8+kCTt2bNHbW1tKeeqpKREV199tbXnKptz0tLSouPHj6c8p6amRnV1ddactzfffFNDhw7VhRdeqG9/+9tqb29PPmbT+eno6JAkVVZWSuLnJ53e5yiBnyH0hwCInHz00Uc6efKkqqqqUj5eVVWltra2gI4qOGPHjtVTTz2lX/7yl/q3f/s3tbW1ady4cTp48GDyfHCuPpPNOWlra1NxcbHOPvvsjM+JsoaGBv3kJz/Rhg0b9NBDD2nr1q2aNGmSurq6JNlzfhzH0dy5c3XllVeqrq5OEj8/vaU7RxI/Q8jOoKAPAOEUi8VS3ncc57SP2aChoSH551GjRunyyy/XBRdcoFWrViUvuuZcnS6fc2LLeZsxY0byz3V1dbr44os1fPhwvfzyy5o2bVrGz4va+Zk9e7beffddbd68+bTH+Pn5VKZzxM8QskEDiJwMGTJEAwcOPO1fie3t7af9q9xGgwcP1qhRo7R79+7kamDO1WeyOSfxeFzd3d06dOhQxufYpLq6WsOHD9fu3bsl2XF+5syZoxdffFFvvPGGzjvvvOTH+fn5TKZzlI6NP0PoHwEQOSkuLtaYMWPU3Nyc8vHm5maNGzcuoKMyR1dXl95//31VV1drxIgRisfjKeequ7tbGzdutPZcZXNOxowZo6KiopTnHDhwQDt27LDyvB08eFCtra2qrq6WFO3z4ziOZs+ereeee04bNmzQiBEjUh7n56f/c5SOTT9DyEEwa08QZmvXrnWKioqc5cuXO++9957T2NjoDB482Nm7d2/Qh+a7efPmOW+++abzwQcfOG+//bYzefJkp6ysLHkuHnzwQaeiosJ57rnnnO3btzu33HKLU11d7XR2dgZ85N45fPiws23bNmfbtm2OJOfhhx92tm3b5nz44YeO42R3Tu666y7nvPPOc15//XXnd7/7nTNp0iRn9OjRzokTJ4L6tlzT1/k5fPiwM2/ePGfLli3Onj17nDfeeMO5/PLLnc9//vNWnJ+7777bqaiocN58803nwIEDybdPPvkk+Rzbf376O0e2/wwhewRA5OVf/uVfnOHDhzvFxcXO1772tZQtCGwyY8YMp7q62ikqKnJqamqcadOmOTt37kw+furUKee+++5z4vG4U1JS4owfP97Zvn17gEfsvTfeeMORdNrbzJkzHcfJ7pwcO3bMmT17tlNZWemUlpY6kydPdvbt2xfAd+O+vs7PJ5984tTX1zvnnnuuU1RU5AwbNsyZOXPmad97VM9PuvMiyVmxYkXyObb//PR3jmz/GUL2Yo7jOP71jQAAAAga1wACAABYhgAIAABgGQIgAACAZQiAAAAAliEAAgAAWIYACAAAYBkCIAAAgGUIgAAAAJYhAAIAAFiGAAgAAGAZAiAAAIBlCIAAAACWIQACAABYhgAIAABgGQIgAACAZQiAAAAAliEAAgAAWIYACAAAYBkCIAAAgGUIgAAAAJYhAAIAAFiGAAgAAGAZAiAAAIBlCIAAAACWIQACAABYhgAIAABgGQIgAACAZQiAAAAAliEAAgAAWIYACAAAYBkCIAAAgGX+PwakuElxK+XwAAAAAElFTkSuQmCC\"></img>\n",
       "</td>\n",
       "<td style=\"text-align: center; vertical-align: top;\">\n",
       "<b><a href=\"https://github.com/clEsperanto/pyclesperanto_prototype\" target=\"_blank\">cle._</a> image</b><br/>\n",
       "<table>\n",
       "<tr><td>shape</td><td>(256,&nbsp;256)</td></tr>\n",
       "<tr><td>dtype</td><td>uint32</td></tr>\n",
       "<tr><td>size</td><td>256.0 kB</td></tr>\n",
       "<tr><td>min</td><td>0.0</td></tr><tr><td>max</td><td>27.0</td></tr>\n",
       "</table>\n",
       "\n",
       "</td>\n",
       "</tr>\n",
       "</table>"
      ],
      "text/plain": [
       "cl.OCLArray([[ 5,  5,  5, ...,  3,  3,  3],\n",
       "       [ 5,  5,  5, ...,  0,  0,  0],\n",
       "       [ 5,  5,  5, ...,  0,  0,  0],\n",
       "       ...,\n",
       "       [24, 24, 24, ...,  0,  0,  0],\n",
       "       [24, 24, 24, ...,  0,  0,  0],\n",
       "       [24, 24, 24, ...,  0,  0,  0]], dtype=uint32)"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "eroded_labels = cle.erode_labels(labels, radius=5)\n",
    "\n",
    "eroded_labels"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0b90e469-de37-4bcb-b1a1-0a8d8c18de33",
   "metadata": {},
   "source": [
    "## Label dilation\n",
    "To close these black gaps again, we can apply label dilation. It is different from binary image dilation as labels cannot overwrite each other. When the gap between them is closed, the labels stop growing."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "efba5780-bda3-4286-864f-1fd56afa37ec",
   "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/clEsperanto/pyclesperanto_prototype\" target=\"_blank\">cle._</a> image</b><br/>\n",
       "<table>\n",
       "<tr><td>shape</td><td>(256,&nbsp;256)</td></tr>\n",
       "<tr><td>dtype</td><td>uint32</td></tr>\n",
       "<tr><td>size</td><td>256.0 kB</td></tr>\n",
       "<tr><td>min</td><td>0.0</td></tr><tr><td>max</td><td>27.0</td></tr>\n",
       "</table>\n",
       "\n",
       "</td>\n",
       "</tr>\n",
       "</table>"
      ],
      "text/plain": [
       "cl.OCLArray([[ 5,  5,  5, ...,  3,  3,  3],\n",
       "       [ 5,  5,  5, ...,  3,  3,  3],\n",
       "       [ 5,  5,  5, ...,  3,  3,  3],\n",
       "       ...,\n",
       "       [24, 24, 24, ...,  0,  0,  0],\n",
       "       [24, 24, 24, ...,  0,  0,  0],\n",
       "       [24, 24, 24, ...,  0,  0,  0]], dtype=uint32)"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dilated_labels = cle.dilate_labels(eroded_labels, radius=5)\n",
    "dilated_labels"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a2e69606-95c1-4da2-8e8b-5c8334b964d6",
   "metadata": {},
   "source": [
    "## Label opening and closing\n",
    "Combining label erosion and dilation as shown above can also be done in one shot using label closing and opening."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "ce4d3c0a-0fde-4b93-b4bf-98e81387a0cb",
   "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/clEsperanto/pyclesperanto_prototype\" target=\"_blank\">cle._</a> image</b><br/>\n",
       "<table>\n",
       "<tr><td>shape</td><td>(256,&nbsp;256)</td></tr>\n",
       "<tr><td>dtype</td><td>uint32</td></tr>\n",
       "<tr><td>size</td><td>256.0 kB</td></tr>\n",
       "<tr><td>min</td><td>0.0</td></tr><tr><td>max</td><td>27.0</td></tr>\n",
       "</table>\n",
       "\n",
       "</td>\n",
       "</tr>\n",
       "</table>"
      ],
      "text/plain": [
       "cl.OCLArray([[ 5,  5,  5, ...,  3,  3,  3],\n",
       "       [ 5,  5,  5, ...,  3,  3,  3],\n",
       "       [ 5,  5,  5, ...,  3,  3,  3],\n",
       "       ...,\n",
       "       [24, 24, 24, ...,  0,  0,  0],\n",
       "       [24, 24, 24, ...,  0,  0,  0],\n",
       "       [24, 24, 24, ...,  0,  0,  0]], dtype=uint32)"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "opened_labels = cle.opening_labels(labels, radius=5)\n",
    "opened_labels"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "59465a6b-6e51-4706-8d25-713dcd15da5e",
   "metadata": {},
   "source": [
    "## Smoothing labels\n",
    "An operation similar to label opening is label smoothing: It just prevents that black gaps are introduced. The `smooth_labels` function allows to straighten the outlines of the labels."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "c5312691-1ed3-4e2c-8037-7425d7df0c45",
   "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/clEsperanto/pyclesperanto_prototype\" target=\"_blank\">cle._</a> image</b><br/>\n",
       "<table>\n",
       "<tr><td>shape</td><td>(256,&nbsp;256)</td></tr>\n",
       "<tr><td>dtype</td><td>uint32</td></tr>\n",
       "<tr><td>size</td><td>256.0 kB</td></tr>\n",
       "<tr><td>min</td><td>1.0</td></tr><tr><td>max</td><td>27.0</td></tr>\n",
       "</table>\n",
       "\n",
       "</td>\n",
       "</tr>\n",
       "</table>"
      ],
      "text/plain": [
       "cl.OCLArray([[ 5,  5,  5, ...,  3,  3,  3],\n",
       "       [ 5,  5,  5, ...,  3,  3,  3],\n",
       "       [ 5,  5,  5, ...,  3,  3,  3],\n",
       "       ...,\n",
       "       [24, 24, 24, ..., 22, 22, 22],\n",
       "       [24, 24, 24, ..., 27, 22, 22],\n",
       "       [24, 24, 24, ..., 27, 27, 22]], dtype=uint32)"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cle.smooth_labels(labels, radius=5)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d5c8787a-63cc-4989-bcf0-59fd197f80eb",
   "metadata": {},
   "source": [
    "## Exercise\n",
    "Use `stackview.interact` to play with the `radius` parameter of `cle.opening_labels` and `cle.smooth_labels`. In case there is an error message, make sure that `stackview>=0.6.2` installed."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "213865ff-5451-4cff-94de-1618bdb6e4cb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'0.6.1'"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stackview.__version__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "d1444682-6faf-4820-95bc-47d8e052e4a0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "37382fea14f745059c863397035fc91f",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "VBox(children=(interactive(children=(IntSlider(value=0, description='radius'), Output()), _dom_classes=('widge…"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stackview.interact(cle.opening_labels, labels)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "aa673421-1930-4f28-b285-21c561dc182f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "86faae3c6ca246f69a8a744414b2076b",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "VBox(children=(interactive(children=(IntSlider(value=0, description='radius'), Output()), _dom_classes=('widge…"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stackview.interact(cle.smooth_labels, labels)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cc2a6cc7-8234-4e97-bcd7-2d972f23b96c",
   "metadata": {},
   "source": [
    "## Exercise\n",
    "Apply a maximum filter to the `eroded_labels` image. Try different radii. Find out why applying this function is not a good idea in practice."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f31d2788-3aaa-4454-b877-5c4cf4d71648",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
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