Lecture 2.5 - Grayscaling.ipynb

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    "## Grayscaling\n",
    "\n",
    "#### Grayscaling is process by which an image is converted from a full color to shades of grey (black & white)\n",
    "\n",
    "In OpenCV, many functions grayscale images before processing. This is done because it simplifies the image, acting almost as a noise reduction and increasing processing time as there is less information in the image.\n",
    "\n",
    "### Let convert our color image to greyscale"
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    "import cv2\n",
    "\n",
    "# Load our input image\n",
    "image = cv2.imread('./images/input.jpg')\n",
    "cv2.imshow('Original', image)\n",
    "cv2.waitKey()\n",
    "\n",
    "# We use cvtColor, to convert to grayscale\n",
    "gray_image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)\n",
    "\n",
    "cv2.imshow('Grayscale', gray_image)\n",
    "cv2.waitKey()\n",
    "cv2.destroyAllWindows()"
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    "#Another method faster method\n",
    "img = cv2.imread('./images/input.jpg',0)\n",
    "\n",
    "cv2.imshow('Grayscale', img)\n",
    "cv2.waitKey()\n",
    "cv2.destroyAllWindows()"
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    "image.shape"
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