{
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    {
      "cell_type": "code",
      "execution_count": null,
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      "source": [
        "%matplotlib inline"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "\n# Radiograph segmentation tutorial\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "Importing modules\n\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "import numpy as np\nimport matplotlib.pyplot as plt\nfrom skimage.filters import median, rank\n\n#from xripl.data import shot\nfrom xripl.reader import openRadiograph\nfrom xripl.contrast import equalize\nfrom xripl.clean import cleanArtifacts, flatten\nfrom xripl.segmentation import detectShock\n# import xripl.pltDefaults"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "Plot\n\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "xData = np.arange(10)\nyData = xData ** 2\n\nplt.plot(xData, yData)\nplt.xlabel('X')\nplt.ylabel('Y')\nplt.show()"
      ]
    }
  ],
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