Bitwise Operations.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "import cv2"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Creating Images"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Making a sqare\n",
    "square = np.zeros((300, 300), np.uint8)\n",
    "cv2.rectangle(square, (50, 50), (250, 250), 255, -2)\n",
    "\n",
    "# Making a ellipse\n",
    "ellipse = np.zeros((300, 300), np.uint8)\n",
    "cv2.ellipse(ellipse, (150, 150), (150, 150), 30, 0, 180, 255, -1)\n",
    "\n",
    "plt.figure(figsize=(10,10))\n",
    "\n",
    "plt.subplot(1,2,1)\n",
    "plt.imshow(square, cmap='gray')\n",
    "plt.title('Square')\n",
    "\n",
    "plt.subplot(1,2,2)\n",
    "plt.imshow(ellipse, cmap='gray')\n",
    "plt.title('Ellipse');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Bitwise operations"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### AND operation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x1152 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# shows only where images intersect\n",
    "and_op = cv2.bitwise_and(square, ellipse)\n",
    "\n",
    "plt.figure(figsize=(16,16))\n",
    "\n",
    "plt.subplot(1,3,1)\n",
    "plt.imshow(square, cmap='gray')\n",
    "plt.title('Square')\n",
    "\n",
    "plt.subplot(1,3,2)\n",
    "plt.imshow(ellipse, cmap='gray')\n",
    "plt.title('Ellipse');\n",
    "\n",
    "plt.subplot(1,3,3)\n",
    "plt.imshow(and_op, cmap='gray')\n",
    "plt.title('AND operation');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### OR operation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x1152 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# shows where either square or ellipse is present\n",
    "or_op = cv2.bitwise_or(square, ellipse)\n",
    "\n",
    "plt.figure(figsize=(16,16))\n",
    "\n",
    "plt.subplot(1,3,1)\n",
    "plt.imshow(square, cmap='gray')\n",
    "plt.title('Square')\n",
    "\n",
    "plt.subplot(1,3,2)\n",
    "plt.imshow(ellipse, cmap='gray')\n",
    "plt.title('Ellipse');\n",
    "\n",
    "plt.subplot(1,3,3)\n",
    "plt.imshow(or_op, cmap='gray')\n",
    "plt.title('OR operation');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### XOR opeartion"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x1152 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# shows where square and ellipse exist by itself\n",
    "xor_op = cv2.bitwise_xor(square, ellipse)\n",
    "\n",
    "plt.figure(figsize=(16,16))\n",
    "\n",
    "plt.subplot(1,3,1)\n",
    "plt.imshow(square, cmap='gray')\n",
    "plt.title('Square')\n",
    "\n",
    "plt.subplot(1,3,2)\n",
    "plt.imshow(ellipse, cmap='gray')\n",
    "plt.title('Ellipse');\n",
    "\n",
    "plt.subplot(1,3,3)\n",
    "plt.imshow(xor_op, cmap='gray')\n",
    "plt.title('XOR operation');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### NOT operation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# it inverts the image\n",
    "not_sq_op = cv2.bitwise_not(square)\n",
    "\n",
    "plt.figure(figsize=(10,10))\n",
    "\n",
    "plt.subplot(1,2,1)\n",
    "plt.imshow(square, cmap='gray')\n",
    "plt.title('Square')\n",
    "\n",
    "plt.subplot(1,2,2)\n",
    "plt.imshow(not_sq_op, cmap='gray')\n",
    "plt.title('NOT - SQUARE');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "not_sq_op = cv2.bitwise_not(ellipse)\n",
    "\n",
    "plt.figure(figsize=(10,10))\n",
    "\n",
    "plt.subplot(1,2,1)\n",
    "plt.imshow(ellipse, cmap='gray')\n",
    "plt.title('Ellipse')\n",
    "\n",
    "plt.subplot(1,2,2)\n",
    "plt.imshow(not_sq_op, cmap='gray')\n",
    "plt.title('NOT - ELLIPSE');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "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": "3.7.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}