Automatically select a crop to threshold an arm

ThresholdArm.ipynb

{
 "metadata": {
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.0-final"
  },
  "orig_nbformat": 2,
  "kernelspec": {
   "name": "python3",
   "display_name": "Python 3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2,
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import imageio as iio\n",
    "import numpy as np\n",
    "from skimage import morphology, color, draw\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "img = iio.imread(\"test.png\") # channel format: RGBA\n",
    "img_gray = color.rgb2gray(color.rgba2rgb(img))\n",
    "img_binary = (img_gray > .8).astype(np.uint8)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# filter elements smaller than 1/6-th of the total width\n",
    "selem = morphology.rectangle(1, img_binary.shape[1] // 6)\n",
    "img_opened = morphology.opening(img_binary, selem=selem)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# vertical histogram\n",
    "hist = np.sum(img_opened, axis=1)\n",
    "non_zero = np.argwhere(hist > 0)\n",
    "top_bound = int(np.round(np.min(non_zero) * (1 - 0.05))) # 5% tolerance\n",
    "bottom_bound = int(np.round(np.max(non_zero) * (1 + 0.05))) # 5% tolerance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# visualize clip\n",
    "img_bbox = color.rgba2rgb(img)\n",
    "rr, cc = draw.line(top_bound, 0, top_bound, img_bbox.shape[1]-1)\n",
    "img_bbox[rr, cc, :] = [255, 0, 0]\n",
    "rr, cc = draw.line(bottom_bound, 0, bottom_bound, img_bbox.shape[1]-1)\n",
    "img_bbox[rr, cc, :] = [255, 0, 0]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "output_type": "stream",
     "name": "stderr",
     "text": [
      "Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n"
     ]
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": "<Figure size 1224x2160 with 4 Axes>",
      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\r\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\r\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\r\n<!-- Created with matplotlib (https://matplotlib.org/) -->\r\n<svg height=\"166.10367pt\" version=\"1.1\" viewBox=\"0 0 963 166.10367\" width=\"963pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\r\n <metadata>\r\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\r\n   <cc:Work>\r\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\r\n    <dc:date>2020-11-22T12:53:25.779969</dc:date>\r\n    <dc:format>image/svg+xml</dc:format>\r\n    <dc:creator>\r\n     <cc:Agent>\r\n      <dc:title>Matplotlib v3.3.2, https://matplotlib.org/</dc:title>\r\n     </cc:Agent>\r\n    </dc:creator>\r\n   </cc:Work>\r\n  </rdf:RDF>\r\n </metadata>\r\n <defs>\r\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\r\n </defs>\r\n <g id=\"figure_1\">\r\n  <g id=\"patch_1\">\r\n   <path d=\"M 0 166.10367 \r\nL 963 166.10367 \r\nL 963 0 \r\nL 0 0 \r\nz\r\n\" style=\"fill:none;\"/>\r\n  </g>\r\n  <g id=\"axes_1\">\r\n   <g clip-path=\"url(#p157e682764)\">\r\n    <image height=\"137\" id=\"image28d9369906\" transform=\"scale(1 -1)translate(0 -137)\" width=\"207\" x=\"7.2\" xlink:href=\"data:image/png;base64,\r\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\" y=\"-21.90367\"/>\r\n   </g>\r\n   <g id=\"text_1\">\r\n    <!-- Original -->\r\n    <g transform=\"translate(86.829946 16.318125)scale(0.12 -0.12)\">\r\n     <defs>\r\n      <path d=\"M 39.40625 66.21875 \r\nQ 28.65625 66.21875 22.328125 58.203125 \r\nQ 16.015625 50.203125 16.015625 36.375 \r\nQ 16.015625 22.609375 22.328125 14.59375 \r\nQ 28.65625 6.59375 39.40625 6.59375 \r\nQ 50.140625 6.59375 56.421875 14.59375 \r\nQ 62.703125 22.609375 62.703125 36.375 \r\nQ 62.703125 50.203125 56.421875 58.203125 \r\nQ 50.140625 66.21875 39.40625 66.21875 \r\nz\r\nM 39.40625 74.21875 \r\nQ 54.734375 74.21875 63.90625 63.9375 \r\nQ 73.09375 53.65625 73.09375 36.375 \r\nQ 73.09375 19.140625 63.90625 8.859375 \r\nQ 54.734375 -1.421875 39.40625 -1.421875 \r\nQ 24.03125 -1.421875 14.8125 8.828125 \r\nQ 5.609375 19.09375 5.609375 36.375 \r\nQ 5.609375 53.65625 14.8125 63.9375 \r\nQ 24.03125 74.21875 39.40625 74.21875 \r\nz\r\n\" id=\"DejaVuSans-79\"/>\r\n      <path d=\"M 41.109375 46.296875 \r\nQ 39.59375 47.171875 37.8125 47.578125 \r\nQ 36.03125 48 33.890625 48 \r\nQ 26.265625 48 22.1875 43.046875 \r\nQ 18.109375 38.09375 18.109375 28.8125 \r\nL 18.109375 0 \r\nL 9.078125 0 \r\nL 9.078125 54.6875 \r\nL 18.109375 54.6875 \r\nL 18.109375 46.1875 \r\nQ 20.953125 51.171875 25.484375 53.578125 \r\nQ 30.03125 56 36.53125 56 \r\nQ 37.453125 56 38.578125 55.875 \r\nQ 39.703125 55.765625 41.0625 55.515625 \r\nz\r\n\" id=\"DejaVuSans-114\"/>\r\n      <path d=\"M 9.421875 54.6875 \r\nL 18.40625 54.6875 \r\nL 18.40625 0 \r\nL 9.421875 0 \r\nz\r\nM 9.421875 75.984375 \r\nL 18.40625 75.984375 \r\nL 18.40625 64.59375 \r\nL 9.421875 64.59375 \r\nz\r\n\" id=\"DejaVuSans-105\"/>\r\n      <path d=\"M 45.40625 27.984375 \r\nQ 45.40625 37.75 41.375 43.109375 \r\nQ 37.359375 48.484375 30.078125 48.484375 \r\nQ 22.859375 48.484375 18.828125 43.109375 \r\nQ 14.796875 37.75 14.796875 27.984375 \r\nQ 14.796875 18.265625 18.828125 12.890625 \r\nQ 22.859375 7.515625 30.078125 7.515625 \r\nQ 37.359375 7.515625 41.375 12.890625 \r\nQ 45.40625 18.265625 45.40625 27.984375 \r\nz\r\nM 54.390625 6.78125 \r\nQ 54.390625 -7.171875 48.1875 -13.984375 \r\nQ 42 -20.796875 29.203125 -20.796875 \r\nQ 24.46875 -20.796875 20.265625 -20.09375 \r\nQ 16.0625 -19.390625 12.109375 -17.921875 \r\nL 12.109375 -9.1875 \r\nQ 16.0625 -11.328125 19.921875 -12.34375 \r\nQ 23.78125 -13.375 27.78125 -13.375 \r\nQ 36.625 -13.375 41.015625 -8.765625 \r\nQ 45.40625 -4.15625 45.40625 5.171875 \r\nL 45.40625 9.625 \r\nQ 42.625 4.78125 38.28125 2.390625 \r\nQ 33.9375 0 27.875 0 \r\nQ 17.828125 0 11.671875 7.65625 \r\nQ 5.515625 15.328125 5.515625 27.984375 \r\nQ 5.515625 40.671875 11.671875 48.328125 \r\nQ 17.828125 56 27.875 56 \r\nQ 33.9375 56 38.28125 53.609375 \r\nQ 42.625 51.21875 45.40625 46.390625 \r\nL 45.40625 54.6875 \r\nL 54.390625 54.6875 \r\nz\r\n\" id=\"DejaVuSans-103\"/>\r\n      <path d=\"M 54.890625 33.015625 \r\nL 54.890625 0 \r\nL 45.90625 0 \r\nL 45.90625 32.71875 \r\nQ 45.90625 40.484375 42.875 44.328125 \r\nQ 39.84375 48.1875 33.796875 48.1875 \r\nQ 26.515625 48.1875 22.3125 43.546875 \r\nQ 18.109375 38.921875 18.109375 30.90625 \r\nL 18.109375 0 \r\nL 9.078125 0 \r\nL 9.078125 54.6875 \r\nL 18.109375 54.6875 \r\nL 18.109375 46.1875 \r\nQ 21.34375 51.125 25.703125 53.5625 \r\nQ 30.078125 56 35.796875 56 \r\nQ 45.21875 56 50.046875 50.171875 \r\nQ 54.890625 44.34375 54.890625 33.015625 \r\nz\r\n\" id=\"DejaVuSans-110\"/>\r\n      <path d=\"M 34.28125 27.484375 \r\nQ 23.390625 27.484375 19.1875 25 \r\nQ 14.984375 22.515625 14.984375 16.5 \r\nQ 14.984375 11.71875 18.140625 8.90625 \r\nQ 21.296875 6.109375 26.703125 6.109375 \r\nQ 34.1875 6.109375 38.703125 11.40625 \r\nQ 43.21875 16.703125 43.21875 25.484375 \r\nL 43.21875 27.484375 \r\nz\r\nM 52.203125 31.203125 \r\nL 52.203125 0 \r\nL 43.21875 0 \r\nL 43.21875 8.296875 \r\nQ 40.140625 3.328125 35.546875 0.953125 \r\nQ 30.953125 -1.421875 24.3125 -1.421875 \r\nQ 15.921875 -1.421875 10.953125 3.296875 \r\nQ 6 8.015625 6 15.921875 \r\nQ 6 25.140625 12.171875 29.828125 \r\nQ 18.359375 34.515625 30.609375 34.515625 \r\nL 43.21875 34.515625 \r\nL 43.21875 35.40625 \r\nQ 43.21875 41.609375 39.140625 45 \r\nQ 35.0625 48.390625 27.6875 48.390625 \r\nQ 23 48.390625 18.546875 47.265625 \r\nQ 14.109375 46.140625 10.015625 43.890625 \r\nL 10.015625 52.203125 \r\nQ 14.9375 54.109375 19.578125 55.046875 \r\nQ 24.21875 56 28.609375 56 \r\nQ 40.484375 56 46.34375 49.84375 \r\nQ 52.203125 43.703125 52.203125 31.203125 \r\nz\r\n\" id=\"DejaVuSans-97\"/>\r\n      <path d=\"M 9.421875 75.984375 \r\nL 18.40625 75.984375 \r\nL 18.40625 0 \r\nL 9.421875 0 \r\nz\r\n\" id=\"DejaVuSans-108\"/>\r\n     </defs>\r\n     <use xlink:href=\"#DejaVuSans-79\"/>\r\n     <use x=\"78.710938\" xlink:href=\"#DejaVuSans-114\"/>\r\n     <use x=\"119.824219\" xlink:href=\"#DejaVuSans-105\"/>\r\n     <use x=\"147.607422\" xlink:href=\"#DejaVuSans-103\"/>\r\n     <use x=\"211.083984\" xlink:href=\"#DejaVuSans-105\"/>\r\n     <use x=\"238.867188\" xlink:href=\"#DejaVuSans-110\"/>\r\n     <use x=\"302.246094\" xlink:href=\"#DejaVuSans-97\"/>\r\n     <use x=\"363.525391\" xlink:href=\"#DejaVuSans-108\"/>\r\n    </g>\r\n   </g>\r\n  </g>\r\n  <g id=\"axes_2\">\r\n   <g clip-path=\"url(#pcd334c8b9b)\">\r\n    <image height=\"137\" id=\"imageb20d6e7897\" transform=\"scale(1 -1)translate(0 -137)\" width=\"207\" x=\"254.66087\" xlink:href=\"data:image/png;base64,\r\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\" y=\"-21.90367\"/>\r\n   </g>\r\n   <g id=\"text_2\">\r\n    <!-- Binary -->\r\n    <g transform=\"translate(338.48894 16.318125)scale(0.12 -0.12)\">\r\n     <defs>\r\n      <path d=\"M 19.671875 34.8125 \r\nL 19.671875 8.109375 \r\nL 35.5 8.109375 \r\nQ 43.453125 8.109375 47.28125 11.40625 \r\nQ 51.125 14.703125 51.125 21.484375 \r\nQ 51.125 28.328125 47.28125 31.5625 \r\nQ 43.453125 34.8125 35.5 34.8125 \r\nz\r\nM 19.671875 64.796875 \r\nL 19.671875 42.828125 \r\nL 34.28125 42.828125 \r\nQ 41.5 42.828125 45.03125 45.53125 \r\nQ 48.578125 48.25 48.578125 53.8125 \r\nQ 48.578125 59.328125 45.03125 62.0625 \r\nQ 41.5 64.796875 34.28125 64.796875 \r\nz\r\nM 9.8125 72.90625 \r\nL 35.015625 72.90625 \r\nQ 46.296875 72.90625 52.390625 68.21875 \r\nQ 58.5 63.53125 58.5 54.890625 \r\nQ 58.5 48.1875 55.375 44.234375 \r\nQ 52.25 40.28125 46.1875 39.3125 \r\nQ 53.46875 37.75 57.5 32.78125 \r\nQ 61.53125 27.828125 61.53125 20.40625 \r\nQ 61.53125 10.640625 54.890625 5.3125 \r\nQ 48.25 0 35.984375 0 \r\nL 9.8125 0 \r\nz\r\n\" id=\"DejaVuSans-66\"/>\r\n      <path d=\"M 32.171875 -5.078125 \r\nQ 28.375 -14.84375 24.75 -17.8125 \r\nQ 21.140625 -20.796875 15.09375 -20.796875 \r\nL 7.90625 -20.796875 \r\nL 7.90625 -13.28125 \r\nL 13.1875 -13.28125 \r\nQ 16.890625 -13.28125 18.9375 -11.515625 \r\nQ 21 -9.765625 23.484375 -3.21875 \r\nL 25.09375 0.875 \r\nL 2.984375 54.6875 \r\nL 12.5 54.6875 \r\nL 29.59375 11.921875 \r\nL 46.6875 54.6875 \r\nL 56.203125 54.6875 \r\nz\r\n\" id=\"DejaVuSans-121\"/>\r\n     </defs>\r\n     <use xlink:href=\"#DejaVuSans-66\"/>\r\n     <use x=\"68.603516\" xlink:href=\"#DejaVuSans-105\"/>\r\n     <use x=\"96.386719\" xlink:href=\"#DejaVuSans-110\"/>\r\n     <use x=\"159.765625\" xlink:href=\"#DejaVuSans-97\"/>\r\n     <use x=\"221.044922\" xlink:href=\"#DejaVuSans-114\"/>\r\n     <use x=\"262.158203\" xlink:href=\"#DejaVuSans-121\"/>\r\n    </g>\r\n   </g>\r\n  </g>\r\n  <g id=\"axes_3\">\r\n   <g clip-path=\"url(#pdd4534a653)\">\r\n    <image height=\"137\" id=\"imaged6d5eefba3\" transform=\"scale(1 -1)translate(0 -137)\" width=\"207\" x=\"502.121739\" xlink:href=\"data:image/png;base64,\r\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\" y=\"-21.90367\"/>\r\n   </g>\r\n   <g id=\"text_3\">\r\n    <!-- Opened -->\r\n    <g transform=\"translate(581.702935 16.318125)scale(0.12 -0.12)\">\r\n     <defs>\r\n      <path d=\"M 18.109375 8.203125 \r\nL 18.109375 -20.796875 \r\nL 9.078125 -20.796875 \r\nL 9.078125 54.6875 \r\nL 18.109375 54.6875 \r\nL 18.109375 46.390625 \r\nQ 20.953125 51.265625 25.265625 53.625 \r\nQ 29.59375 56 35.59375 56 \r\nQ 45.5625 56 51.78125 48.09375 \r\nQ 58.015625 40.1875 58.015625 27.296875 \r\nQ 58.015625 14.40625 51.78125 6.484375 \r\nQ 45.5625 -1.421875 35.59375 -1.421875 \r\nQ 29.59375 -1.421875 25.265625 0.953125 \r\nQ 20.953125 3.328125 18.109375 8.203125 \r\nz\r\nM 48.6875 27.296875 \r\nQ 48.6875 37.203125 44.609375 42.84375 \r\nQ 40.53125 48.484375 33.40625 48.484375 \r\nQ 26.265625 48.484375 22.1875 42.84375 \r\nQ 18.109375 37.203125 18.109375 27.296875 \r\nQ 18.109375 17.390625 22.1875 11.75 \r\nQ 26.265625 6.109375 33.40625 6.109375 \r\nQ 40.53125 6.109375 44.609375 11.75 \r\nQ 48.6875 17.390625 48.6875 27.296875 \r\nz\r\n\" id=\"DejaVuSans-112\"/>\r\n      <path d=\"M 56.203125 29.59375 \r\nL 56.203125 25.203125 \r\nL 14.890625 25.203125 \r\nQ 15.484375 15.921875 20.484375 11.0625 \r\nQ 25.484375 6.203125 34.421875 6.203125 \r\nQ 39.59375 6.203125 44.453125 7.46875 \r\nQ 49.3125 8.734375 54.109375 11.28125 \r\nL 54.109375 2.78125 \r\nQ 49.265625 0.734375 44.1875 -0.34375 \r\nQ 39.109375 -1.421875 33.890625 -1.421875 \r\nQ 20.796875 -1.421875 13.15625 6.1875 \r\nQ 5.515625 13.8125 5.515625 26.8125 \r\nQ 5.515625 40.234375 12.765625 48.109375 \r\nQ 20.015625 56 32.328125 56 \r\nQ 43.359375 56 49.78125 48.890625 \r\nQ 56.203125 41.796875 56.203125 29.59375 \r\nz\r\nM 47.21875 32.234375 \r\nQ 47.125 39.59375 43.09375 43.984375 \r\nQ 39.0625 48.390625 32.421875 48.390625 \r\nQ 24.90625 48.390625 20.390625 44.140625 \r\nQ 15.875 39.890625 15.1875 32.171875 \r\nz\r\n\" id=\"DejaVuSans-101\"/>\r\n      <path d=\"M 45.40625 46.390625 \r\nL 45.40625 75.984375 \r\nL 54.390625 75.984375 \r\nL 54.390625 0 \r\nL 45.40625 0 \r\nL 45.40625 8.203125 \r\nQ 42.578125 3.328125 38.25 0.953125 \r\nQ 33.9375 -1.421875 27.875 -1.421875 \r\nQ 17.96875 -1.421875 11.734375 6.484375 \r\nQ 5.515625 14.40625 5.515625 27.296875 \r\nQ 5.515625 40.1875 11.734375 48.09375 \r\nQ 17.96875 56 27.875 56 \r\nQ 33.9375 56 38.25 53.625 \r\nQ 42.578125 51.265625 45.40625 46.390625 \r\nz\r\nM 14.796875 27.296875 \r\nQ 14.796875 17.390625 18.875 11.75 \r\nQ 22.953125 6.109375 30.078125 6.109375 \r\nQ 37.203125 6.109375 41.296875 11.75 \r\nQ 45.40625 17.390625 45.40625 27.296875 \r\nQ 45.40625 37.203125 41.296875 42.84375 \r\nQ 37.203125 48.484375 30.078125 48.484375 \r\nQ 22.953125 48.484375 18.875 42.84375 \r\nQ 14.796875 37.203125 14.796875 27.296875 \r\nz\r\n\" id=\"DejaVuSans-100\"/>\r\n     </defs>\r\n     <use xlink:href=\"#DejaVuSans-79\"/>\r\n     <use x=\"78.710938\" xlink:href=\"#DejaVuSans-112\"/>\r\n     <use x=\"142.1875\" xlink:href=\"#DejaVuSans-101\"/>\r\n     <use x=\"203.710938\" xlink:href=\"#DejaVuSans-110\"/>\r\n     <use x=\"267.089844\" xlink:href=\"#DejaVuSans-101\"/>\r\n     <use x=\"328.613281\" xlink:href=\"#DejaVuSans-100\"/>\r\n    </g>\r\n   </g>\r\n  </g>\r\n  <g id=\"axes_4\">\r\n   <g clip-path=\"url(#pddfd150cdc)\">\r\n    <image height=\"137\" id=\"image0a52ec40d2\" transform=\"scale(1 -1)translate(0 -137)\" width=\"207\" x=\"749.582609\" xlink:href=\"data:image/png;base64,\r\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\" y=\"-21.90367\"/>\r\n   </g>\r\n   <g id=\"text_4\">\r\n    <!-- Clip Drawn -->\r\n    <g transform=\"translate(819.979117 16.318125)scale(0.12 -0.12)\">\r\n     <defs>\r\n      <path d=\"M 64.40625 67.28125 \r\nL 64.40625 56.890625 \r\nQ 59.421875 61.53125 53.78125 63.8125 \r\nQ 48.140625 66.109375 41.796875 66.109375 \r\nQ 29.296875 66.109375 22.65625 58.46875 \r\nQ 16.015625 50.828125 16.015625 36.375 \r\nQ 16.015625 21.96875 22.65625 14.328125 \r\nQ 29.296875 6.6875 41.796875 6.6875 \r\nQ 48.140625 6.6875 53.78125 8.984375 \r\nQ 59.421875 11.28125 64.40625 15.921875 \r\nL 64.40625 5.609375 \r\nQ 59.234375 2.09375 53.4375 0.328125 \r\nQ 47.65625 -1.421875 41.21875 -1.421875 \r\nQ 24.65625 -1.421875 15.125 8.703125 \r\nQ 5.609375 18.84375 5.609375 36.375 \r\nQ 5.609375 53.953125 15.125 64.078125 \r\nQ 24.65625 74.21875 41.21875 74.21875 \r\nQ 47.75 74.21875 53.53125 72.484375 \r\nQ 59.328125 70.75 64.40625 67.28125 \r\nz\r\n\" id=\"DejaVuSans-67\"/>\r\n      <path id=\"DejaVuSans-32\"/>\r\n      <path d=\"M 19.671875 64.796875 \r\nL 19.671875 8.109375 \r\nL 31.59375 8.109375 \r\nQ 46.6875 8.109375 53.6875 14.9375 \r\nQ 60.6875 21.78125 60.6875 36.53125 \r\nQ 60.6875 51.171875 53.6875 57.984375 \r\nQ 46.6875 64.796875 31.59375 64.796875 \r\nz\r\nM 9.8125 72.90625 \r\nL 30.078125 72.90625 \r\nQ 51.265625 72.90625 61.171875 64.09375 \r\nQ 71.09375 55.28125 71.09375 36.53125 \r\nQ 71.09375 17.671875 61.125 8.828125 \r\nQ 51.171875 0 30.078125 0 \r\nL 9.8125 0 \r\nz\r\n\" id=\"DejaVuSans-68\"/>\r\n      <path d=\"M 4.203125 54.6875 \r\nL 13.1875 54.6875 \r\nL 24.421875 12.015625 \r\nL 35.59375 54.6875 \r\nL 46.1875 54.6875 \r\nL 57.421875 12.015625 \r\nL 68.609375 54.6875 \r\nL 77.59375 54.6875 \r\nL 63.28125 0 \r\nL 52.6875 0 \r\nL 40.921875 44.828125 \r\nL 29.109375 0 \r\nL 18.5 0 \r\nz\r\n\" id=\"DejaVuSans-119\"/>\r\n     </defs>\r\n     <use xlink:href=\"#DejaVuSans-67\"/>\r\n     <use x=\"69.824219\" xlink:href=\"#DejaVuSans-108\"/>\r\n     <use x=\"97.607422\" xlink:href=\"#DejaVuSans-105\"/>\r\n     <use x=\"125.390625\" xlink:href=\"#DejaVuSans-112\"/>\r\n     <use x=\"188.867188\" xlink:href=\"#DejaVuSans-32\"/>\r\n     <use x=\"220.654297\" xlink:href=\"#DejaVuSans-68\"/>\r\n     <use x=\"297.65625\" xlink:href=\"#DejaVuSans-114\"/>\r\n     <use x=\"338.769531\" xlink:href=\"#DejaVuSans-97\"/>\r\n     <use x=\"400.048828\" xlink:href=\"#DejaVuSans-119\"/>\r\n     <use x=\"481.835938\" xlink:href=\"#DejaVuSans-110\"/>\r\n    </g>\r\n   </g>\r\n  </g>\r\n </g>\r\n <defs>\r\n  <clipPath id=\"p157e682764\">\r\n   <rect height=\"136.585545\" width=\"206.217391\" x=\"7.2\" y=\"22.318125\"/>\r\n  </clipPath>\r\n  <clipPath id=\"pcd334c8b9b\">\r\n   <rect height=\"136.585545\" width=\"206.217391\" x=\"254.66087\" y=\"22.318125\"/>\r\n  </clipPath>\r\n  <clipPath id=\"pdd4534a653\">\r\n   <rect height=\"136.585545\" width=\"206.217391\" x=\"502.121739\" y=\"22.318125\"/>\r\n  </clipPath>\r\n  <clipPath id=\"pddfd150cdc\">\r\n   <rect height=\"136.585545\" width=\"206.217391\" x=\"749.582609\" y=\"22.318125\"/>\r\n  </clipPath>\r\n </defs>\r\n</svg>\r\n",
      "image/png": "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\n"
     },
     "metadata": {
      "needs_background": "light"
     }
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1, 4, figsize=(17, 30))\n",
    "\n",
    "ax[0].set_title(\"Original\")\n",
    "ax[0].imshow(img)\n",
    "ax[0].axis(\"off\")\n",
    "\n",
    "ax[1].set_title(\"Binary\")\n",
    "ax[1].imshow(img_binary, cmap=\"gray\")\n",
    "ax[1].axis(\"off\")\n",
    "\n",
    "ax[2].set_title(\"Opened\")\n",
    "ax[2].imshow(img_opened, cmap=\"gray\")\n",
    "ax[2].axis(\"off\")\n",
    "\n",
    "ax[3].set_title(\"Clip Drawn\")\n",
    "ax[3].imshow(img_bbox)\n",
    "ax[3].axis(\"off\")\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ]
}