演示如何使用 OpenCV 图像修复功能填补缺失值

opencv-inpaint.ipynb

{
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  {
   "cell_type": "code",
   "execution_count": 1,
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   "source": [
    "import cv2\n",
    "import numpy as np"
   ]
  },
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   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "def reconstruct_matrix(matrix, mask):\n",
    "    # Convert the matrix to an image format\n",
    "    image = np.float32(matrix)\n",
    "\n",
    "    # Convert the mask to an image format\n",
    "    mask = np.uint8(mask)\n",
    "\n",
    "    # Perform inpainting using the Navier-Stokes based method\n",
    "    filled_image = cv2.inpaint(image, mask, 3, cv2.INPAINT_TELEA)\n",
    "\n",
    "    # Convert the filled image back to a matrix format\n",
    "    filled_matrix = np.array(filled_image, dtype=np.float64)\n",
    "\n",
    "    return filled_matrix"
   ]
  },
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   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[1.         2.         6.97709751]\n",
      " [3.         5.74754715 7.        ]\n",
      " [6.73858976 8.         9.        ]]\n"
     ]
    }
   ],
   "source": [
    "# 原始图像：斜对角线初值为 0，需要被复原\n",
    "matrix = np.array([[1, 2.0, 0],\n",
    "                   [3.0, 0, 7.0],\n",
    "                   [0, 8.0, 9.0]])\n",
    "\n",
    "# 斜对角线是需要复原的\n",
    "mask = np.array([[0, 0, 1],\n",
    "                 [0, 1, 0],\n",
    "                 [1, 0, 0]])\n",
    "\n",
    "filled_matrix = reconstruct_matrix(matrix, mask)\n",
    "print(filled_matrix)"
   ]
  }
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主要使用了 cv.inpaint() 这个函数。