Ex-29-Circle Detection.ipynb

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   "source": [
    "# Circle Detection"
   ]
  },
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   "metadata": {},
   "source": [
    "#### Import Libraries"
   ]
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   "cell_type": "code",
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   "source": [
    "import cv2\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt"
   ]
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    "img = cv2.imread('D:\\Computer-Vision-Bootcamp\\images\\expert.png')\n",
    "img2= img.copy()\n",
    "gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)\n",
    "gray = cv2.medianBlur(gray, 5)\n",
    "\n",
    "#parameters---(img,circle_method,dp,mindist,parm1,parm2[p1>p2],)\n",
    "circles = cv2.HoughCircles(gray, cv2.HOUGH_GRADIENT, 1, 20,\n",
    "                          param1=50, param2=30, minRadius=0,\n",
    "                          maxRadius=0)\n",
    "\n",
    "data = np.uint16(np.around(circles))\n",
    "for (x, y ,r) in data[0, :]:\n",
    "    cv2.circle(img2, (x, y), r, (50, 10, 50), 3) #outer circle\n",
    "    cv2.circle(img2, (x, y), 2, (0, 255, 100), -1) #center\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "cv2.imshow('Original',img)\n",
    "cv2.imshow('Result',img2)\n",
    "cv2.waitKey(0)\n",
    "cv2.destroyAllWindows()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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