Ex-26-Image BackProjection.ipynb

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   "source": [
    "# Image BackProjection"
   ]
  },
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   "metadata": {},
   "source": [
    "#### Import Libraries"
   ]
  },
  {
   "cell_type": "code",
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   "metadata": {},
   "outputs": [],
   "source": [
    "import cv2\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt"
   ]
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   "execution_count": 5,
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   "source": [
    "original_image = cv2.imread(\"D:\\Computer-Vision-Bootcamp\\images\\expert.png\")\n",
    "original_image = cv2.resize(original_image,(200,300))\n",
    "hsv_original = cv2.cvtColor(original_image, cv2.COLOR_BGR2HSV)\n",
    "\n",
    "roi = cv2.imread(\"D:\\Computer-Vision-Bootcamp\\images\\lambo.png\")\n",
    "hsv_roi = cv2.cvtColor(roi, cv2.COLOR_BGR2HSV)\n",
    "\n",
    "# Histogram ROI\n",
    "roi_hist = cv2.calcHist([hsv_roi], [0, 1], None, [180, 256], [0, 180, 0, 256])\n",
    "mask = cv2.calcBackProject([hsv_original], [0, 1], roi_hist, [0, 180, 0, 256], 1)\n",
    "\n",
    "\n",
    "# Filtering remove noise\n",
    "kernel = cv2.getStructuringElement(cv2.MORPH_ELLIPSE, (5, 5))  # predefine\n",
    "mask = cv2.filter2D(mask, -1, kernel)\n",
    "_, mask = cv2.threshold(mask, 200, 255, cv2.THRESH_BINARY)\n",
    "\n",
    "mask = cv2.merge((mask, mask, mask))\n",
    "result = cv2.bitwise_or(original_image, mask)\n",
    "\n",
    "\n",
    "\n",
    "cv2.imshow(\"Original image\", original_image)\n",
    "cv2.imshow(\"Mask\", mask)\n",
    "cv2.imshow(\"Result\", result)\n",
    "cv2.imshow(\"Roi\", hsv_original)\n",
    "cv2.waitKey(0)\n",
    "cv2.destroyAllWindows()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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