Hair Removal Code.ipynb

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    "# -*- coding: utf-8 -*-\n",
    "\"\"\"\n",
    "Following are the DHR tasks followed in this example code:\n",
    "    \n",
    "    -- Applying Morphological Black-Hat transformation\n",
    "    -- Creating the mask for InPainting task\n",
    "    -- Applying inpainting algorithm on the image\n",
    "\"\"\"\n",
    "\n",
    "import cv2\n",
    "from matplotlib import pyplot as plt\n",
    "src = cv2.imread(\"Skin_data/Original data/sample1.jpg\")\n",
    "plt.imshow(src)\n",
    "\n",
    "\n",
    "\n",
    "# Convert the original image to grayscale\n",
    "grayScale = cv2.cvtColor(src, cv2.COLOR_RGB2GRAY)\n",
    "plt.imshow(grayScale)\n",
    "\n",
    "# Kernel for the morphological filtering\n",
    "kernel = cv2.getStructuringElement(1,(17,17))\n",
    "\n",
    "# Perform the blackHat filtering on the grayscale image to find the \n",
    "# hair countours\n",
    "blackhat = cv2.morphologyEx(grayScale, cv2.MORPH_BLACKHAT, kernel)\n",
    "plt.imshow(blackhat)\n",
    "\n",
    "# intensify the hair countours in preparation for the inpainting \n",
    "# algorithm\n",
    "ret,thresh2 = cv2.threshold(blackhat,3,255,cv2.THRESH_BINARY)\n",
    "plt.imshow(thresh2)\n",
    "\n",
    "# inpaint the original image depending on the mask\n",
    "dst = cv2.inpaint(src,thresh2,1,cv2.INPAINT_TELEA)\n",
    "plt.imshow(dst)\n",
    "\n",
    "cv2.imwrite('Skin_data/Original data/sample2.jpg', dst, [int(cv2.IMWRITE_JPEG_QUALITY), 90])"
   ]
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   "source": [
    "import os\n",
    "import cv2\n",
    "from matplotlib import pyplot as plt\n",
    "img_file_list1 = []\n"
   ]
  },
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   "source": [
    "for fname in os.listdir('Skin_data/Original data/Training_Data/'):\n",
    "        img_file_list1.append((os.path.join('Skin_data/Original data/Training_Data/', fname)))\n",
    "        "
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   "source": [
    "for f1 in img_file_list1:\n",
    "    src = cv2.imread(f1)\n",
    "    \n",
    "    grayScale = cv2.cvtColor(src, cv2.COLOR_RGB2GRAY)\n",
    "    kernel = cv2.getStructuringElement(1,(17,17))\n",
    "    blackhat = cv2.morphologyEx(grayScale, cv2.MORPH_BLACKHAT, kernel)\n",
    "    ret,thresh2 = cv2.threshold(blackhat,10,255,cv2.THRESH_BINARY)\n",
    "    dst = cv2.inpaint(src,thresh2,1,cv2.INPAINT_TELEA)\n",
    "    \n",
    "    fname1 = os.path.splitext(os.path.basename(f1))[0]\n",
    "    output_fname = os.path.join('Skin_data/Original data/Hair_Removed_Training_Data/', '{}.jpg'.format(fname1))\n",
    "    cv2.imwrite(output_fname, dst, [int(cv2.IMWRITE_JPEG_QUALITY), 90])         "
   ]
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