wk-labs/lab2.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "637b3ea7",
   "metadata": {},
   "outputs": [],
   "source": [
    "import cv2 as cv\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "e78bd13a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "kernel_ellipse = cv.getStructuringElement(cv.MORPH_ELLIPSE, (7, 7))\n",
    "plt.imshow(kernel_ellipse, cmap='gray');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 200,
   "id": "453c5a62",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Final')"
      ]
     },
     "execution_count": 200,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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
      "text/plain": [
       "<Figure size 720x576 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Zad.1\n",
    "text = cv.imread(\"img/text_no_ocr.png\", cv.IMREAD_GRAYSCALE)\n",
    "_, text_bin = cv.threshold(text, 100, 255, cv.THRESH_BINARY)\n",
    "\n",
    "kernel_ellipse = cv.getStructuringElement(cv.MORPH_ELLIPSE, (5, 5))\n",
    "\n",
    "text_dilated = cv.dilate(text_bin, kernel_ellipse, iterations=1)\n",
    "\n",
    "text_eroded = cv.erode(text_dilated, kernel_ellipse, iterations=1)\n",
    "\n",
    "final_img = text_bin - text_eroded\n",
    "final_img = cv.bitwise_not(final_img)\n",
    "\n",
    "\n",
    "plt.figure(figsize=[10,8])\n",
    "plt.subplot(221)\n",
    "plt.imshow(text_bin, cmap='gray')\n",
    "plt.title(\"Binary\")\n",
    "plt.subplot(222)\n",
    "plt.imshow(text_dilated, cmap='gray')\n",
    "plt.title(\"Dilated\")\n",
    "plt.subplot(223)\n",
    "plt.imshow(text_eroded, cmap='gray')\n",
    "plt.title(\"Eroded\")\n",
    "plt.subplot(224)\n",
    "plt.imshow(final_img, cmap='gray')\n",
    "plt.title(\"Final\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 201,
   "id": "6119e7d0",
   "metadata": {},
   "outputs": [],
   "source": [
    "#zad.2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 202,
   "id": "5aae1b5f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Opened')"
      ]
     },
     "execution_count": 202,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAlYAAAHFCAYAAAAwv7dvAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjMuNCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8QVMy6AAAACXBIWXMAAAsTAAALEwEAmpwYAAEAAElEQVR4nOy9d6AlRZn+/6nuPvHmmXsn50DOQbKYM6KwYgB0V1dRzLtr1t8qu+IacXHNCuiaFhf97ooRzCCwMkoY4uRw5+Z8cof6/VFd1dXn3hkGGHSA8+hwz+lQXV1Vp9+nn/ett4SUkhZaaKGFFlpooYUWHj2cv3YFWmihhRZaaKGFFp4oaBGrFlpooYUWWmihhQOEFrFqoYUWWmihhRZaOEBoEasWWmihhRZaaKGFA4QWsWqhhRZaaKGFFlo4QGgRqxZaaKGFFlpooYUDhBaxauEJBSHENUKIf/1r16OFFlp4fEII8SUhxIf+2vVo4fGLFrFqYRaEEK8QQtwmhCgLIYbjz5cKIcRfu24ttNBCC48WQojtQoiqEKIkhJgQQvxYCLEcQEr5Rinlv/y169jC4xctYtVCCkKIfwT+HfgksAhYCLwROAPIznG8+xetYAsttNDCgcE5Usp2YDEwBHzusbyYEMJ7LMtv4eBBi1i1YCCE6AIuAy6VUv63lHJGKvxZSnmhlLIeu9q+KIT4iRCiDDxdCPFCIcSfhRDTQohdQogPW2X+WAjx1qbr3CWEeIlQuCJWxabi7UfFxxSEEJ8WQuyI990khCjE+74vhBiMt/9OCHHkPu7pRUKIO4QQk0KIPwghjnks2q6FFlp4fEJKWQP+GzgC0uEEQoinCSF2CyH+MX5ODQgh/k6f+xDPvlVCCCmEeJ0QYifwq309D/8Ct9rCXwgtYtWCjdOAHPA/D3Hcq4CPAh3ATUAZeDXQDbwQeJP1oPgGcJE+UQhxLLAU+AnwHOCpwCHxuS8HxuJDPwWcCJwOzAPeDUTxvp8C64EFwJ+Ab89VSSHECcBVwCXAfODLwP8KIXIPcX8ttNDCkwRCiCLq2XPrXg5ZBHShnluvAz4vhOiJ9+3r2adxNnA48Fz2/Txs4QmCFrFqwUYvMCqlDPSGWOWZjOMRnhpv/h8p5c1SykhKWZNS/kZKeXf8/S7gu6iHCSiStl4IsT7+fjHwX1LKBuCjyNlhgJBS3ielHBBCOMBrgbdLKfullKGU8g9SyjqAlPKqWE2rAx8Gjo3Vtma8HviylPK2uIxvAHXg1APWYi200MLjFf9PCDEJTAPPRoU/zAUfuExK6UspfwKUgEMBHuLZp/FhKWVZSlll38/DFp4gaBGrFmyMAb12LICU8nQpZXe8T4+XXfZJQohThBC/FkKMCCGmUDFZvfH5deBa4KKYML0S+M9436+A/wA+DwwJIb4ihOiMz80DW5orKIRwhRD/JoTYIoSYBrbHu3rnuJ+VwD/GxHAyfoguB5Y8zHZpoYUWnnh4SfxsywFvAX4rhFg0x3Fj9ssmUAHaYd/PPgvmebmv52ELTxy0iFULNm5BKTrnPsRxsun7d4D/BZZLKbuALwH2DMJvABcCzwQqUspbTEFSXimlPBE4EuUSfBcwCtSAtXNc+1Vx/Z6FkudXxdvnmrG4C/iolLLb+leUUn73Ie6vhRZaeJIgVrN/AITAmQ/z9Id69sHs5+Ven4ctPDHQIlYtGEgpJ4GPAF8QQvyNEKJdCOEIIY4D2vZxagcwLqWsCSGegiI/drm3oOKjPo31diaEODl+48ugYhVqQCiljFCxUZ8RQiyJVarT4tioDhT5GwOKwOX7qNdXgTfG1xBCiLY42LTjYTRLCy208ARG/Gw4F+gB7nuYp+/z2TcX9vY8bOGJgxaxaiEFKeUngH9ABYsPo6Yhfxl4D/CHvZx2KXCZEGIG+P9QUnczvgkcDXzL2taJIj8TwA4UWfpUvO+fgLuBPwLjwMdR4/Wb8bH9wL3sPeAUKeXtqDir/4ivsRn4270d30ILLTyp8CMhRAkVY/VR4DVSynseZhn78+ybC3M9D1t4gkBI2axSttDCgYcQ4tXAG6SUD1dqb6GFFlp4QqH1PHxio6VYtfCYI57OfCnwlb92XVpooYUW/ppoPQ+f+HjMiJUQ4nlCiAeEEJuFEO99rK7TwsENIcRzgRGUS/E7f+XqtNDCfqH1/GrhsUDrefjkwGPiChRqmZMHUblBdqPiZF4ppbz3gF+shRZaaOEAovX8aqGFFh4NHivF6inAZinl1jjx2fd46Cn8LbTQQgsHA1rPrxZaaOER47EiVktJJ5HcHW9roYUWWjjY0Xp+tdBCC48Yj9Vq23Mla0z5HIUQbwDeAFDI509cuXL5Y1SVvxQE6VsUSStIOcd+5j6WdOM1nzFXw+4N+qrNn/8y0Pdr37ddm7mxtzr/xeauyuRDcn0x606w9qVg3/Yju/B+bU527m20NA2ovezaXyT3qq4p4wL3NaqTc5Pj7XPuv//BUSll38OvzWOOh3x+QfoZhlrXsoUWWngSQUo559P0sSJWu1FLh2gsA/Y0VegrxLMiDj/sEHn11/4DIUBKCTL+m6qyQAiBjgnTD2t1DggBaoUAQIJwVBlqW1xm/DeSEbZJEHEhUn9ugr6Gqo9Q/xMiLiH9vBWm0uqvFMQnx1dMGW6JIxx1HzjxTUhEfC11X0LV3VElC+tyybXjBpDqAnqlYmEdKWLyJnUNBYCjKIM+19Q3aR4pI7XfMqrCvqa5jrD4oSIi+mab28iqlmoFKdPtbh2uTbK0jjfXNNePz5USHKG7W98ACNVn6l4w+3UZUkrrnyoqiuxWdOK/+gaTujqOE9fAiQ8RcZ9FCOGY9hDmvMjUze4f4uuD/S/Zrc8SVhsk5TTRT0HckUlVVfsmvx3796T/6vEvTNPav7ekvZPtMvWbnAtCWO0mpXU9eMppT9ux1xP/unjI5xekn2FCiL03QgsttPCkwmNFrP6IWmhyNSqR4yvYj4y0SBGbntioSRC2oZQysWsW6XBsm6cNvCAhEzZR0AUkTEnBEBN7swScFJlLtmOZeGlIUKLNSEMGzPFS1y8hBFITJ21olXVTJCC+tr5Pbdv1MRhDbP9JaiUQyiBr7iRFYhsliJjBpYynxdUsDmgxOpskSqvhJUSo+0GRMU1kTbNFafKq9wu7c0TMjTTpstowuZxIypRSn2aNkYRE2ARPbdAkIilbRpEheFJKZKTuTQpba0nIiA0/jAgiQSQgwiHjuWQ88ISDpx3tFjEV0lXtAyjCpki+JEpIqZRme9xwyQWt8WtxpfgywmoviwdZJydU2KblEfqFQW+R5jdiv2zocWm/kJiGRQg9XtNNrvtW95v6e1DzkEf2/GqhhRZa4DEiVlLKQAjxFuDngAtc9dAZbeM39viNP4oVq0SZSt6ugWSfkOatONmXPPiVAiaMIVXf9UM9NmqxcU+4irSukVY29LVkbMC1PiRiMqRVM+1IElZx0lzTWNy0fUmRMMu4xoWkxKSYVKVIkS7TEJPEiCU0wyJ1NjFDqyK2CqTZVRSTHsNokya0bSsopcYYYLudkmulFA7hgIziPoiJntVaKTonrM9WWyVqiiZfVh/H40hfM6lHolRFUWjUKvVdHytAOPG9KNR8GJz22Top2TrtMliWTFdDGqEgjCS5XIbOtix93W305UJW9hZY2uWxKB/R6QUIESGkUsHU7TgW8YrHEhESJyGUCeWyGkDfhh5jalxpBdS+X6WcJeNCK0ZJOXH5MWmbW4VKj38zloQmsvo3iFWWPjMe7yJR1xISd/DhkT2/Wmjh8YFiscgxxxzDhRdeyKpVq/Z57NatW/n85z/Pgw8++Jep3BMEj5VihZTyJ8BP9vd4TZLUuQIndosZZQqtQsVHi+Tt1zyihdR21KhA8eGxGhWTE02C7PqqC8fXEfoeVB3M9WOXkjlHG3bLEKVcmIkZNzzEEAIJOEQiIYAiNqFaCdK6gozA0WTT3I+l2ljlJ2QoVsJE2lWkq6eJnyEsMiFfhggZLiXiy2klQ19RWE2b3L8UICNpeSctxcVWWywlJCENttJkkYmUG1gbdctI201j1wW
      "text/plain": [
       "<Figure size 720x576 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "coins = cv.imread(\"img/coins.png\")\n",
    "coins_gray = cv.cvtColor(coins, cv.COLOR_BGR2GRAY)\n",
    "_, coins_bin = cv.threshold(coins_gray, 160, 255, cv.THRESH_BINARY_INV)\n",
    "\n",
    "\n",
    "kernel = cv.getStructuringElement(cv.MORPH_ELLIPSE, (7, 7))\n",
    "\n",
    "coins_opened = cv.morphologyEx(coins_bin, cv.MORPH_CLOSE, kernel, iterations=1)\n",
    "\n",
    "\n",
    "plt.figure(figsize=[10,8])\n",
    "plt.subplot(221)\n",
    "plt.imshow(coins, cmap='gray')\n",
    "plt.title(\"Grayscale\")\n",
    "plt.subplot(222)\n",
    "plt.imshow(coins_bin, cmap='gray')\n",
    "plt.title(\"Binary\")\n",
    "plt.subplot(223)\n",
    "plt.imshow(coins_opened, cmap='gray')\n",
    "plt.title(\"Opened\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 203,
   "id": "c296a5ef",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "No. of contours: 6\n"
     ]
    },
    {
     "data": {
      "image/png": "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
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "shapes_contours, _ = cv.findContours(coins_opened, cv.RETR_EXTERNAL, cv.CHAIN_APPROX_SIMPLE)\n",
    "print(f\"No. of contours: {len(shapes_contours)}\")\n",
    "# shapes_with_contours = coins.copy()\n",
    "\n",
    "\n",
    "shapes_with_bb = coins_gray.copy()\n",
    "\n",
    "# cv.drawContours(shapes_with_contours, shapes_contours, -1, (255,255,0), 2)\n",
    "for idx, contour in enumerate(shapes_contours):\n",
    "    (x,y), radius = cv.minEnclosingCircle(contour)\n",
    "    cv.circle(shapes_with_bb, (int(x),int(y)), int(round(radius)), (0,0,0), -1)\n",
    "#     cv.putText(shapes_with_bb, str(idx + 1), (int(x-10),int(y+10)), cv.FONT_HERSHEY_SIMPLEX, 1, (255, 255, 255), 2)\n",
    "    \n",
    "plt.figure(figsize=[10,5])\n",
    "plt.imshow(shapes_with_bb);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 204,
   "id": "365ce640",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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
      "text/plain": [
       "<Figure size 720x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "_, coins_binary = cv.threshold(shapes_with_bb, 127, 255, cv.THRESH_BINARY_INV)\n",
    "\n",
    "_, coins_labels = cv.connectedComponents(coins_binary)\n",
    "\n",
    "\n",
    "for idx, contour in enumerate(shapes_contours):\n",
    "    (x,y), radius = cv.minEnclosingCircle(contour)\n",
    "    cv.putText(coins_labels, str(idx + 1), (int(x-10),int(y+10)), cv.FONT_HERSHEY_SIMPLEX, 1, (0, 0, 0), 2)\n",
    "\n",
    "\n",
    "\n",
    "plt.figure(figsize=[10,5])\n",
    "\n",
    "\n",
    "plt.imshow(coins_labels, cmap='inferno')\n",
    "plt.colorbar();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c6910eba",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2633aff0",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "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",
   "version": "3.8.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}