Lecture 21 Hough Transformation Line.ipynb

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   "source": [
    "import cv2\n",
    "import numpy as np"
   ]
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    "img = cv2.imread(\"hough.png\")\n",
    "img = cv2.resize(img, (550,500))\n",
    "gry = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)\n",
    "\n",
    "edge = cv2.Canny(gry, 20, 250)\n",
    "\n",
    "lines = cv2.HoughLines(edge, 1, np.pi/180, 200)\n",
    "\n",
    "for r, th in lines[0]:\n",
    "    a = np.cos(th)\n",
    "    b = np.sin(th)\n",
    "    \n",
    "    \n",
    "    x0 = a * r\n",
    "    y0 = b * r\n",
    "    \n",
    "    x1 = int(x0 + 1000 * (-b))\n",
    "    y1 = int(y0 + 1000 * (a))\n",
    "    x2 = int(x0 - 1000 * (-b))\n",
    "    y2 = int(y0 - 1000 * (a))\n",
    "    \n",
    "    cv2.line(img, (x1,y1), (x2,y2), (0,255,0), 2)\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "cv2.imshow(\"hough\", img)\n",
    "cv2.waitKey(0)\n",
    "cv2.destroyAllWindows()"
   ]
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    "img = cv2.imread(\"hough.png\")\n",
    "img = cv2.resize(img, (550,500))\n",
    "gry = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)\n",
    "\n",
    "edge = cv2.Canny(gry, 20, 250)\n",
    "\n",
    "\n",
    "l = cv2.HoughLinesP(edge, 1, np.pi/180, 200, minLineLength = 180, maxLineGap = 100)\n",
    "\n",
    "\n",
    "\n",
    "for i in l:\n",
    "    x1,y1,x2,y2 = i[0]\n",
    "    cv2.line(img, (x1,y1), (x2,y2), (0,255,0), 2)\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "cv2.imshow(\"hough\", img)\n",
    "cv2.waitKey(0)\n",
    "cv2.destroyAllWindows()"
   ]
  },
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