7. Code to mask white pixels in a colored image.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#  CODE TO SELECT WHITE PIXELS OUT OF THE IMAGE"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Import all the necessary libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-05-17T12:56:18.926566Z",
     "start_time": "2020-05-17T12:56:18.333526Z"
    }
   },
   "outputs": [],
   "source": [
    "import matplotlib.image as mpimg\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import cv2"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Read the image and display it"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-05-17T12:56:20.089535Z",
     "start_time": "2020-05-17T12:56:19.809525Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(540, 960, 3)"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "image_color = mpimg.imread('image_lane_c.jpg')\n",
    "image_color.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Let's sort out the white colour out of the image"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-05-17T12:56:21.342528Z",
     "start_time": "2020-05-17T12:56:21.334537Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(540, 960, 3)"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "image_copy = np.copy(image_color)\n",
    "image_copy.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-05-17T12:56:22.340524Z",
     "start_time": "2020-05-17T12:56:22.234524Z"
    },
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "image_copy[ (image_copy[:,:,0] < 200) | (image_copy[:,:,1] < 200) | (image_copy[:,:,2] < 200) ] = 0  # any value that is not white colour"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-05-17T12:56:23.265611Z",
     "start_time": "2020-05-17T12:56:23.039617Z"
    },
    "scrolled": true
   },
   "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": [
    "# Display the image                 \n",
    "plt.imshow(image_copy, cmap = 'gray')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Well Done!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "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": "3.7.4"
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": false,
   "sideBar": true,
   "skip_h1_title": false,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {},
   "toc_section_display": true,
   "toc_window_display": false
  },
  "widgets": {
   "state": {},
   "version": "1.1.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}