"cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "print(hi)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import cv2\n",
    "import numpy as np\n",
    "from matplotlib import pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "img = cv2.imread('GrayGradient.png',0)\n",
    "ret,thresh1 = cv2.threshold(img,127,255,cv2.THRESH_BINARY)\n",
    "ret,thresh2 = cv2.threshold(img,127,255,cv2.THRESH_BINARY_INV)\n",
    "ret,thresh3 = cv2.threshold(img,127,255,cv2.THRESH_TRUNC)\n",
    "ret,thresh4 = cv2.threshold(img,127,255,cv2.THRESH_TOZERO)\n",
    "ret,thresh5 = cv2.threshold(img,127,255,cv2.THRESH_TOZERO_INV)\n",
    "\n",
    "titles = ['Original Image','BINARY','BINARY_INV','TRUNC','TOZERO','TOZERO_INV']\n",
    "images = [img, thresh1, thresh2, thresh3, thresh4, thresh5]\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "for i in xrange(6):\n",
    "    plt.subplot(2,3,i+1),plt.imshow(images[i],'gray')\n",
    "    plt.title(titles[i])\n",
    "    plt.xticks([]),plt.yticks([])\n",
    "\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}