2_ITK_in_Python.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# ITK in Python"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "### Learning Objectives\n",
    "\n",
    "* Learn how to write simple Python code with ITK\n",
    "* Become familiar with the functional and object-oriented interfaces to ITK in Python\n",
    "* Understand how to bridge ITK with machine learning libraries with [NumPy](https://numpy.org/)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Working with NumPy and friends\n",
    "\n",
    "* ITK is great at reading and processing images\n",
    "* Some algorithms are not available in ITK\n",
    "* NumPy is great at processing arrays in simple ways\n",
    "* NumPy arrays can be read by many other Python packages\n",
    "    * [matplotlib](https://matplotlib.org)\n",
    "    * [scikit-learn](https://scikit-learn.org)\n",
    "    * [PyTorch](https://pytorch.org)\n",
    "    * [TensorFlow](https://www.tensorflow.org)\n",
    "    * [scikit-image](https://scikit-image.org)\n",
    "    * [OpenCV](https://opencv.org)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "import itk\n",
    "\n",
    "from packaging.version import parse\n",
    "from importlib.metadata import version\n",
    "\n",
    "if parse(version('itk')) < parse('5.3'):\n",
    "    raise ValueError(\"ITK greater than version 5.3.0 is required for this notebook\")\n",
    "\n",
    "from itkwidgets import view\n",
    "\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
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>\n",
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\";\n",
       "                    var viewer = document.getElementById(\"imjoy_window_048b741d-b3cf-4731-8b4a-a2deeace7f68\");\n",
       "                    // Hide the static image if the Viewer is visible\n",
       "                    image.style.display = viewer ? \"none\" : \"block\";\n",
       "                </script>\n",
       "            "
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "window.connectPlugin && window.connectPlugin(\"a1a409e0-26f1-4324-9230-fcb6a2cd79aa\")"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div id=\"609a539e-eef1-4441-8920-c72b36421694\"></div>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<itkwidgets.viewer.Viewer at 0x7ff484101210>"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "image = itk.imread(\"data/KitwareITK.jpg\")\n",
    "view(image)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[51 56 60]\n"
     ]
    }
   ],
   "source": [
    "array = itk.array_from_image(image)\n",
    "print(array[1, 1])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "Let go the other way around: NumPy array to an ITK image. First, we create an array with some values."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [],
   "source": [
    "def make_gaussian(size, fwhm=3, center=None):\n",
    "    \"\"\"Make a square gaussian kernel.\n",
    "\n",
    "    size is the length of a side of the square\n",
    "    fwhm is full-width-half-maximum, which\n",
    "    can be considered an effective radius.\n",
    "    \"\"\"\n",
    "\n",
    "    x = np.arange(0, size, 1, np.float32)\n",
    "    y = x[:, np.newaxis]\n",
    "\n",
    "    if center is None:\n",
    "        x0 = y0 = size // 2\n",
    "    else:\n",
    "        x0 = center[0]\n",
    "        y0 = center[1]\n",
    "\n",
    "    return np.exp(-4 * np.log(2) * ((x - x0) ** 2 + (y - y0) ** 2) / fwhm**2)\n",
    "\n",
    "\n",
    "array = make_gaussian(11)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "Let's look at the array. We use `matplotlib` or `itkwidgets.view` to do this."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(-0.5, 10.5, 10.5, -0.5)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.gray()\n",
    "plt.imshow(array)\n",
    "plt.axis(\"off\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "                <img id=\"screenshot_imjoy_window_ec6e42a8-3b8b-40f6-be3d-3eb219595390\" 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>\n",
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\";\n",
       "                    var viewer = document.getElementById(\"imjoy_window_ec6e42a8-3b8b-40f6-be3d-3eb219595390\");\n",
       "                    // Hide the static image if the Viewer is visible\n",
       "                    image.style.display = viewer ? \"none\" : \"block\";\n",
       "                </script>\n",
       "            "
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "window.connectPlugin && window.connectPlugin(\"a1a409e0-26f1-4324-9230-fcb6a2cd79aa\")"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div id=\"3a425858-96fe-4592-8941-ab73762db3ef\"></div>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<itkwidgets.viewer.Viewer at 0x7ff483a10510>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "image = itk.image_from_array(array)\n",
    "view(image, cmap=\"Grayscale\", interpolation=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Exercises"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "### Exercise 1: Visualize an image\n",
    "* Read an image with ITK\n",
    "* Apply a filter\n",
    "* Show both original image and filtered images with matplotlib"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [],
   "source": [
    "image = itk.imread(\"data/CBCT-TextureInput.png\", itk.F)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [],
   "source": [
    "# %load solutions/2_ITK_in_Python_answers_Exercise1.py"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Views vs Copies"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "So far we have used\n",
    "\n",
    "- `itk.array_from_image()`\n",
    "- `itk.image_from_array()`.\n",
    "\n",
    "Also available:\n",
    "\n",
    "- `itk.array_view_from_image()`\n",
    "- `itk.image_view_from_array()`\n",
    "\n",
    "You can see the keyword **view** in both the names of these functions.\n",
    "\n",
    "How to they differ in their behavior?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "Let's compare the result of `itk.array_view_from_image()` and `itk.array_from_image()`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Copy')"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "gaussian = itk.gaussian_image_source(size=11, sigma=3, scale=100, mean=[5, 5])\n",
    "\n",
    "arr_view_gaussian = itk.array_view_from_image(gaussian)\n",
    "arr_gaussian = itk.array_from_image(gaussian)\n",
    "\n",
    "gaussian.SetPixel([5, 5], 0)\n",
    "\n",
    "plt.subplot(1, 2, 1)\n",
    "plt.imshow(arr_view_gaussian)\n",
    "plt.title(\"View\")\n",
    "\n",
    "plt.subplot(1, 2, 2)\n",
    "plt.imshow(arr_gaussian)\n",
    "plt.title(\"Copy\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "### Exercise 2: ITK image to NumPy array\n",
    "\n",
    "* Read an image with ITK\n",
    "\n",
    "--\n",
    "\n",
    "* Convert image to NumPy array as a view\n",
    "* Modify a pixel in the image\n",
    "* Has the array been modified?\n",
    "\n",
    "--\n",
    "\n",
    "* Convert image to NumPy array as a copy\n",
    "* Modify a pixel in the image\n",
    "* Has the array been modified?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "# %load solutions/2_ITK_and_NumPy_answers_Exercise2.py"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Templated Types\n",
    "\n",
    "* Is my ITK type templated? (hint: usually, yes)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Help on itkTemplate in module itk.support.template_class object:\n",
      "\n",
      "itk::Image = class itkTemplate(collections.abc.Mapping)\n",
      " |  itk::Image(new_object_name: str) -> 'itkTemplate'\n",
      " |  \n",
      " |  This class manages access to available template arguments of a C++ class.\n",
      " |  \n",
      " |  This class is generic and does not give help on the methods available in\n",
      " |  the instantiated class. To get help on a specific ITK class, instantiate an\n",
      " |  object of that class.\n",
      " |  \n",
      " |  e.g.: median = itk.MedianImageFilter[ImageType, ImageType].New()\n",
      " |        help(median)\n",
      " |  \n",
      " |  There are two ways to access types:\n",
      " |  \n",
      " |  1. With a dict interface. The user can manipulate template parameters\n",
      " |  similarly to C++, with the exception that the available parameters sets are\n",
      " |  chosen at compile time. It is also possible, with the dict interface, to\n",
      " |  explore the available parameters sets.\n",
      " |  2. With object attributes. The user can easily find the available parameters\n",
      " |  sets by pressing tab in interpreter like ipython\n",
      " |  \n",
      " |  Method resolution order:\n",
      " |      itkTemplate\n",
      " |      collections.abc.Mapping\n",
      " |      collections.abc.Collection\n",
      " |      collections.abc.Sized\n",
      " |      collections.abc.Iterable\n",
      " |      collections.abc.Container\n",
      " |      builtins.object\n",
      " |  \n",
      " |  Methods defined here:\n",
      " |  \n",
      " |  GetTypes(self)\n",
      " |      Helper method which prints out the available template parameters.\n",
      " |  \n",
      " |  GetTypesAsList(self)\n",
      " |      Helper method which returns the available template parameters.\n",
      " |  \n",
      " |  New(self, *args, **kwargs)\n",
      " |      Instantiate the template with a type implied from its input.\n",
      " |      \n",
      " |      Template type specification can be avoided by assuming that the type's\n",
      " |      first template argument should have the same type as its primary input.\n",
      " |      This is generally true. If it is not true, then specify the types\n",
      " |      explicitly.\n",
      " |      \n",
      " |      For example, instead of the explicit type specification::\n",
      " |      \n",
      " |        median = itk.MedianImageFilter[ImageType, ImageType].New()\n",
      " |        median.SetInput(reader.GetOutput())\n",
      " |      \n",
      " |      call::\n",
      " |      \n",
      " |        median = itk.MedianImageFilter.New(Input=reader.GetOutput())\n",
      " |      \n",
      " |      or, the shortened::\n",
      " |      \n",
      " |        median = itk.MedianImageFilter.New(reader.GetOutput())\n",
      " |      \n",
      " |      or:\n",
      " |      \n",
      " |        median = itk.MedianImageFilter.New(reader)\n",
      " |  \n",
      " |  __add__(self, paramSetString: str, cl: Callable[..., Any]) -> None\n",
      " |      Add a new argument set and the resulting class to the template.\n",
      " |      \n",
      " |      paramSetString is the C++ string which defines the parameters set.\n",
      " |      cl is the class which corresponds to the couple template-argument set.\n",
      " |  \n",
      " |  __call__(self, *args, **kwargs)\n",
      " |      Deprecated procedural interface function.\n",
      " |      \n",
      " |      Use snake case function instead. This function is now\n",
      " |      merely a wrapper around the snake case function (more\n",
      " |      specifically around `__internal_call__()` to avoid\n",
      " |      creating a new instance twice).\n",
      " |      \n",
      " |      Create a process object, update with the inputs and\n",
      " |      attributes, and return the result.\n",
      " |      \n",
      " |      The syntax is the same as the one used in New().\n",
      " |      \n",
      " |      UpdateLargestPossibleRegion() is execute and the current output,\n",
      " |      or tuple of outputs if there is more than one, is returned.\n",
      " |      \n",
      " |      For example,\n",
      " |      \n",
      " |        outputImage = itk.MedianImageFilter(inputImage, Radius=(1,2))\n",
      " |  \n",
      " |  __contains__(self, key)\n",
      " |  \n",
      " |  __dir__(self)\n",
      " |      Returns the list of the attributes available in the current template.\n",
      " |      \n",
      " |      This loads all the modules that might be required by this template first,\n",
      " |      and then returns the list of attributes. It is used when dir() is called\n",
      " |      or when it tries to autocomplete attribute names.\n",
      " |  \n",
      " |  __find_param__(self, paramSetString) -> List[Any]\n",
      " |      Find the parameters of the template.\n",
      " |      \n",
      " |      paramSetString is the C++ string which defines the parameters set.\n",
      " |      \n",
      " |      __find_param__ returns a list of itk classes, itkCType, and/or numbers\n",
      " |      which correspond to the parameters described in paramSetString.\n",
      " |      The parameters MUST have been registered before calling this method,\n",
      " |      or __find_param__ will return a string and not the wanted object, and\n",
      " |      will display a warning. Registration order is important.\n",
      " |      \n",
      " |      This method is not static only to be able to display the template name\n",
      " |      in the warning.\n",
      " |  \n",
      " |  __getattr__(self, attr)\n",
      " |      Support for lazy loading.\n",
      " |  \n",
      " |  __getitem__(self, parameters) -> Callable[..., Any]\n",
      " |      Return the class which corresponds to the given template parameters.\n",
      " |      \n",
      " |      parameters can be:\n",
      " |          - a single parameter (Ex: itk.Index[2])\n",
      " |          - a list of elements (Ex: itk.Image[itk.UC, 2])\n",
      " |  \n",
      " |  __getnewargs_ex__(self)\n",
      " |      Return arguments for __new__.\n",
      " |      Required by the Pickle protocol.\n",
      " |  \n",
      " |  __hash__(self)\n",
      " |      Overloads `hash()` when called on an `itkTemplate` object.\n",
      " |      \n",
      " |      Identify with the __name__, e.g. `itk.Image.__name__` is `itk::Image`.\n",
      " |      Used by frozenset construction in typing._GenericAlias\n",
      " |  \n",
      " |  __instancecheck__(self, instance) -> bool\n",
      " |      Overloads `isinstance()` when called on an `itkTemplate` object.\n",
      " |      \n",
      " |      This function allows to compare an object to a filter without\n",
      " |      specifying the actual template arguments of the class. It will\n",
      " |      test all available template parameters that have been wrapped\n",
      " |      and return `True` if one that corresponds to the object is found.\n",
      " |  \n",
      " |  __iter__(self)\n",
      " |      # everything after this comment is for dict interface\n",
      " |      # and is a copy/paste from DictMixin\n",
      " |      # only methods to edit dictionary are not there\n",
      " |  \n",
      " |  __len__(self)\n",
      " |  \n",
      " |  __local__init__(self, new_object_name: str) -> None\n",
      " |      Can not have a __init__ because we must use __new__\n",
      " |      so that the singleton takes preference.\n",
      " |      Use this to define the class member elements\n",
      " |  \n",
      " |  __repr__(self) -> str\n",
      " |      Return repr(self).\n",
      " |  \n",
      " |  get(self, key, default=None)\n",
      " |      D.get(k[,d]) -> D[k] if k in D, else d.  d defaults to None.\n",
      " |  \n",
      " |  items(self)\n",
      " |      D.items() -> a set-like object providing a view on D's items\n",
      " |  \n",
      " |  keys(self)\n",
      " |      D.keys() -> a set-like object providing a view on D's keys\n",
      " |  \n",
      " |  values(self)\n",
      " |      D.values() -> an object providing a view on D's values\n",
      " |  \n",
      " |  ----------------------------------------------------------------------\n",
      " |  Static methods defined here:\n",
      " |  \n",
      " |  __new__(cls, new_object_name: str) -> 'itkTemplate'\n",
      " |      Create and return a new object.  See help(type) for accurate signature.\n",
      " |  \n",
      " |  normalizeName(name: str) -> str\n",
      " |      Normalize the class name to remove ambiguity\n",
      " |      \n",
      " |      This function removes the white spaces in the name, and also\n",
      " |      remove the pointer declaration \"*\" (it have no sense in python)\n",
      " |  \n",
      " |  registerNoTpl(name: str, cl: 'itkTemplate') -> None\n",
      " |      Register a class without template\n",
      " |      \n",
      " |      It can seem not useful to register classes without template (and it wasn't\n",
      " |      useful until the SmartPointer template was generated), but those classes\n",
      " |      can be used as template argument of classes with template.\n",
      " |  \n",
      " |  ----------------------------------------------------------------------\n",
      " |  Data descriptors defined here:\n",
      " |  \n",
      " |  __dict__\n",
      " |      dictionary for instance variables\n",
      " |  \n",
      " |  __weakref__\n",
      " |      list of weak references to the object\n",
      " |  \n",
      " |  ----------------------------------------------------------------------\n",
      " |  Data and other attributes defined here:\n",
      " |  \n",
      " |  __abstractmethods__ = frozenset()\n",
      " |  \n",
      " |  ----------------------------------------------------------------------\n",
      " |  Methods inherited from collections.abc.Mapping:\n",
      " |  \n",
      " |  __eq__(self, other)\n",
      " |      Return self==value.\n",
      " |  \n",
      " |  ----------------------------------------------------------------------\n",
      " |  Data and other attributes inherited from collections.abc.Mapping:\n",
      " |  \n",
      " |  __reversed__ = None\n",
      " |  \n",
      " |  ----------------------------------------------------------------------\n",
      " |  Class methods inherited from collections.abc.Collection:\n",
      " |  \n",
      " |  __subclasshook__(C) from abc.ABCMeta\n",
      " |      Abstract classes can override this to customize issubclass().\n",
      " |      \n",
      " |      This is invoked early on by abc.ABCMeta.__subclasscheck__().\n",
      " |      It should return True, False or NotImplemented.  If it returns\n",
      " |      NotImplemented, the normal algorithm is used.  Otherwise, it\n",
      " |      overrides the normal algorithm (and the outcome is cached).\n",
      " |  \n",
      " |  ----------------------------------------------------------------------\n",
      " |  Class methods inherited from collections.abc.Iterable:\n",
      " |  \n",
      " |  __class_getitem__ = GenericAlias(...) from abc.ABCMeta\n",
      " |      Represent a PEP 585 generic type\n",
      " |      \n",
      " |      E.g. for t = list[int], t.__origin__ is list and t.__args__ is (int,).\n",
      "\n"
     ]
    }
   ],
   "source": [
    "help(itk.Image)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "* If so, you need to specify the data type\n",
    "* This is similar to `dtype` in NumPy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0., 0.])"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import numpy\n",
    "\n",
    "numpy.array([0, 0], dtype=float)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "* Define and create a simple object"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "itkIndex3 ([0, 0, 0])\n"
     ]
    }
   ],
   "source": [
    "# A pixel Index is templated over the image dimension\n",
    "IndexType = itk.Index[3]\n",
    "index = IndexType()\n",
    "print(index)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "* Define and use smart pointer object"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Image (0x561be6e990f0)\n",
      "  RTTI typeinfo:   itk::Image<float, 2u>\n",
      "  Reference Count: 1\n",
      "  Modified Time: 868\n",
      "  Debug: Off\n",
      "  Object Name: \n",
      "  Observers: \n",
      "    none\n",
      "  Source: (none)\n",
      "  Source output name: (none)\n",
      "  Release Data: Off\n",
      "  Data Released: False\n",
      "  Global Release Data: Off\n",
      "  PipelineMTime: 0\n",
      "  UpdateMTime: 0\n",
      "  RealTimeStamp: 0 seconds \n",
      "  LargestPossibleRegion: \n",
      "    Dimension: 2\n",
      "    Index: [0, 0]\n",
      "    Size: [0, 0]\n",
      "  BufferedRegion: \n",
      "    Dimension: 2\n",
      "    Index: [0, 0]\n",
      "    Size: [0, 0]\n",
      "  RequestedRegion: \n",
      "    Dimension: 2\n",
      "    Index: [0, 0]\n",
      "    Size: [0, 0]\n",
      "  Spacing: [1, 1]\n",
      "  Origin: [0, 0]\n",
      "  Direction: \n",
      "1 0\n",
      "0 1\n",
      "\n",
      "  IndexToPointMatrix: \n",
      "1 0\n",
      "0 1\n",
      "\n",
      "  PointToIndexMatrix: \n",
      "1 0\n",
      "0 1\n",
      "\n",
      "  Inverse Direction: \n",
      "1 0\n",
      "0 1\n",
      "\n",
      "  PixelContainer: \n",
      "    ImportImageContainer (0x561bea401390)\n",
      "      RTTI typeinfo:   itk::ImportImageContainer<unsigned long, float>\n",
      "      Reference Count: 1\n",
      "      Modified Time: 869\n",
      "      Debug: Off\n",
      "      Object Name: \n",
      "      Observers: \n",
      "        none\n",
      "      Pointer: 0\n",
      "      Container manages memory: true\n",
      "      Size: 0\n",
      "      Capacity: 0\n",
      "\n"
     ]
    }
   ],
   "source": [
    "ImageType = itk.Image[itk.ctype(\"float\"), 2]\n",
    "my_image = ImageType.New()\n",
    "print(my_image)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "* Print list of available types"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<itkTemplate itk::Image>\n",
      "Options:\n",
      "  [<itkCType bool>, 2]\n",
      "  [<itkCType bool>, 3]\n",
      "  [<itkCType bool>, 4]\n",
      "  [<itkCType double>, 2]\n",
      "  [<itkCType double>, 3]\n",
      "  [<itkCType double>, 4]\n",
      "  [<itkCType float>, 2]\n",
      "  [<itkCType float>, 3]\n",
      "  [<itkCType float>, 4]\n",
      "  [<itkCType signed int>, 2]\n",
      "  [<itkCType signed int>, 3]\n",
      "  [<itkCType signed int>, 4]\n",
      "  [<itkCType signed short>, 2]\n",
      "  [<itkCType signed short>, 3]\n",
      "  [<itkCType signed short>, 4]\n",
      "  [<itkCType unsigned char>, 2]\n",
      "  [<itkCType unsigned char>, 3]\n",
      "  [<itkCType unsigned char>, 4]\n",
      "  [<itkCType unsigned int>, 2]\n",
      "  [<itkCType unsigned int>, 3]\n",
      "  [<itkCType unsigned int>, 4]\n",
      "  [<itkCType unsigned long long>, 2]\n",
      "  [<itkCType unsigned long long>, 3]\n",
      "  [<itkCType unsigned long long>, 4]\n",
      "  [<itkCType unsigned long>, 2]\n",
      "  [<itkCType unsigned long>, 3]\n",
      "  [<itkCType unsigned long>, 4]\n",
      "  [<itkCType unsigned short>, 2]\n",
      "  [<itkCType unsigned short>, 3]\n",
      "  [<itkCType unsigned short>, 4]\n",
      "  [<class 'itk.itkCoocurrenceTextureFeaturesImageFilterPython.itkVectorF8'>, 2]\n",
      "  [<class 'itk.itkCoocurrenceTextureFeaturesImageFilterPython.itkVectorF8'>, 3]\n",
      "  [<class 'itk.itkCoocurrenceTextureFeaturesImageFilterPython.itkVectorF8'>, 4]\n",
      "  [<class 'itk.itkCovariantVectorPython.itkCovariantVectorD2'>, 2]\n",
      "  [<class 'itk.itkCovariantVectorPython.itkCovariantVectorD2'>, 3]\n",
      "  [<class 'itk.itkCovariantVectorPython.itkCovariantVectorD2'>, 4]\n",
      "  [<class 'itk.itkCovariantVectorPython.itkCovariantVectorD3'>, 2]\n",
      "  [<class 'itk.itkCovariantVectorPython.itkCovariantVectorD3'>, 3]\n",
      "  [<class 'itk.itkCovariantVectorPython.itkCovariantVectorD3'>, 4]\n",
      "  [<class 'itk.itkCovariantVectorPython.itkCovariantVectorD4'>, 2]\n",
      "  [<class 'itk.itkCovariantVectorPython.itkCovariantVectorD4'>, 3]\n",
      "  [<class 'itk.itkCovariantVectorPython.itkCovariantVectorD4'>, 4]\n",
      "  [<class 'itk.itkCovariantVectorPython.itkCovariantVectorF2'>, 2]\n",
      "  [<class 'itk.itkCovariantVectorPython.itkCovariantVectorF2'>, 3]\n",
      "  [<class 'itk.itkCovariantVectorPython.itkCovariantVectorF2'>, 4]\n",
      "  [<class 'itk.itkCovariantVectorPython.itkCovariantVectorF3'>, 2]\n",
      "  [<class 'itk.itkCovariantVectorPython.itkCovariantVectorF3'>, 3]\n",
      "  [<class 'itk.itkCovariantVectorPython.itkCovariantVectorF3'>, 4]\n",
      "  [<class 'itk.itkCovariantVectorPython.itkCovariantVectorF4'>, 2]\n",
      "  [<class 'itk.itkCovariantVectorPython.itkCovariantVectorF4'>, 3]\n",
      "  [<class 'itk.itkCovariantVectorPython.itkCovariantVectorF4'>, 4]\n",
      "  [<class 'itk.itkFixedArrayPython.itkFixedArrayD2'>, 2]\n",
      "  [<class 'itk.itkFixedArrayPython.itkFixedArrayD3'>, 3]\n",
      "  [<class 'itk.itkFixedArrayPython.itkFixedArrayD4'>, 4]\n",
      "  [<class 'itk.itkFixedArrayPython.itkFixedArrayF2'>, 2]\n",
      "  [<class 'itk.itkFixedArrayPython.itkFixedArrayF3'>, 3]\n",
      "  [<class 'itk.itkFixedArrayPython.itkFixedArrayF4'>, 4]\n",
      "  [<class 'itk.itkOffsetPython.itkOffset2'>, 2]\n",
      "  [<class 'itk.itkOffsetPython.itkOffset3'>, 3]\n",
      "  [<class 'itk.itkOffsetPython.itkOffset4'>, 4]\n",
      "  [<class 'itk.itkRGBAPixelPython.itkRGBAPixelUC'>, 2]\n",
      "  [<class 'itk.itkRGBAPixelPython.itkRGBAPixelUC'>, 3]\n",
      "  [<class 'itk.itkRGBAPixelPython.itkRGBAPixelUC'>, 4]\n",
      "  [<class 'itk.itkRGBPixelPython.itkRGBPixelUC'>, 2]\n",
      "  [<class 'itk.itkRGBPixelPython.itkRGBPixelUC'>, 3]\n",
      "  [<class 'itk.itkRGBPixelPython.itkRGBPixelUC'>, 4]\n",
      "  [<class 'itk.itkRunLengthTextureFeaturesImageFilterPython.itkVectorF10'>, 2]\n",
      "  [<class 'itk.itkRunLengthTextureFeaturesImageFilterPython.itkVectorF10'>, 3]\n",
      "  [<class 'itk.itkRunLengthTextureFeaturesImageFilterPython.itkVectorF10'>, 4]\n",
      "  [<class 'itk.itkSparseFieldFourthOrderLevelSetImageFilterPython.itkNormalBandNodeID2'>, 2]\n",
      "  [<class 'itk.itkSparseFieldFourthOrderLevelSetImageFilterPython.itkNormalBandNodeID3'>, 3]\n",
      "  [<class 'itk.itkSparseFieldFourthOrderLevelSetImageFilterPython.itkNormalBandNodeID4'>, 4]\n",
      "  [<class 'itk.itkSparseFieldFourthOrderLevelSetImageFilterPython.itkNormalBandNodeIF2'>, 2]\n",
      "  [<class 'itk.itkSparseFieldFourthOrderLevelSetImageFilterPython.itkNormalBandNodeIF3'>, 3]\n",
      "  [<class 'itk.itkSparseFieldFourthOrderLevelSetImageFilterPython.itkNormalBandNodeIF4'>, 4]\n",
      "  [<class 'itk.itkSymmetricSecondRankTensorPython.itkSymmetricSecondRankTensorD2'>, 2]\n",
      "  [<class 'itk.itkSymmetricSecondRankTensorPython.itkSymmetricSecondRankTensorD3'>, 3]\n",
      "  [<class 'itk.itkSymmetricSecondRankTensorPython.itkSymmetricSecondRankTensorD4'>, 4]\n",
      "  [<class 'itk.itkSymmetricSecondRankTensorPython.itkSymmetricSecondRankTensorF2'>, 2]\n",
      "  [<class 'itk.itkSymmetricSecondRankTensorPython.itkSymmetricSecondRankTensorF3'>, 3]\n",
      "  [<class 'itk.itkSymmetricSecondRankTensorPython.itkSymmetricSecondRankTensorF4'>, 4]\n",
      "  [<class 'itk.itkVectorPython.itkVectorD2'>, 2]\n",
      "  [<class 'itk.itkVectorPython.itkVectorD2'>, 3]\n",
      "  [<class 'itk.itkVectorPython.itkVectorD2'>, 4]\n",
      "  [<class 'itk.itkVectorPython.itkVectorD2'>, 5]\n",
      "  [<class 'itk.itkVectorPython.itkVectorD3'>, 2]\n",
      "  [<class 'itk.itkVectorPython.itkVectorD3'>, 3]\n",
      "  [<class 'itk.itkVectorPython.itkVectorD3'>, 4]\n",
      "  [<class 'itk.itkVectorPython.itkVectorD3'>, 5]\n",
      "  [<class 'itk.itkVectorPython.itkVectorD4'>, 2]\n",
      "  [<class 'itk.itkVectorPython.itkVectorD4'>, 3]\n",
      "  [<class 'itk.itkVectorPython.itkVectorD4'>, 4]\n",
      "  [<class 'itk.itkVectorPython.itkVectorD4'>, 5]\n",
      "  [<class 'itk.itkVectorPython.itkVectorF1'>, 2]\n",
      "  [<class 'itk.itkVectorPython.itkVectorF1'>, 3]\n",
      "  [<class 'itk.itkVectorPython.itkVectorF1'>, 4]\n",
      "  [<class 'itk.itkVectorPython.itkVectorF2'>, 2]\n",
      "  [<class 'itk.itkVectorPython.itkVectorF2'>, 3]\n",
      "  [<class 'itk.itkVectorPython.itkVectorF2'>, 4]\n",
      "  [<class 'itk.itkVectorPython.itkVectorF3'>, 2]\n",
      "  [<class 'itk.itkVectorPython.itkVectorF3'>, 3]\n",
      "  [<class 'itk.itkVectorPython.itkVectorF3'>, 4]\n",
      "  [<class 'itk.itkVectorPython.itkVectorF4'>, 2]\n",
      "  [<class 'itk.itkVectorPython.itkVectorF4'>, 3]\n",
      "  [<class 'itk.itkVectorPython.itkVectorF4'>, 4]\n",
      "  [<class 'itk.stdcomplexPython.stdcomplexD'>, 2]\n",
      "  [<class 'itk.stdcomplexPython.stdcomplexD'>, 3]\n",
      "  [<class 'itk.stdcomplexPython.stdcomplexD'>, 4]\n",
      "  [<class 'itk.stdcomplexPython.stdcomplexF'>, 2]\n",
      "  [<class 'itk.stdcomplexPython.stdcomplexF'>, 3]\n",
      "  [<class 'itk.stdcomplexPython.stdcomplexF'>, 4]\n"
     ]
    }
   ],
   "source": [
    "itk.Image.GetTypes()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "## Non-templated Types\n",
    "\n",
    "* `MetaDataDictionary`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "'new_key' value: 5\n"
     ]
    }
   ],
   "source": [
    "d = itk.MetaDataDictionary()\n",
    "d[\"new_key\"] = 5\n",
    "print(f\"'new_key' value: {d['new_key']}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "## Python Sequences for of ITK Objects\n",
    "\n",
    "* Some ITK objects expect inputs of a certain ITK type. However, it is often more convenient to directly provide Python sequences, i.e. a `list` or `tuple`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Help on method itkImageBase2_SetOrigin:\n",
      "\n",
      "itkImageBase2_SetOrigin(...) method of itk.itkImagePython.itkImageF2 instance\n",
      "    SetOrigin(self, _arg)\n",
      "    \n",
      "    Parameters\n",
      "    ----------\n",
      "    _arg: itkPointD2 const\n",
      "    \n",
      "    SetOrigin(self, origin)\n",
      "    \n",
      "    Parameters\n",
      "    ----------\n",
      "    origin: double const *\n",
      "    \n",
      "    SetOrigin(self, origin)\n",
      "    \n",
      "    Parameters\n",
      "    ----------\n",
      "    origin: float const *\n",
      "\n"
     ]
    }
   ],
   "source": [
    "image = ImageType.New()\n",
    "help(image.SetOrigin)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "* Use a Python `list` where an `itk.Index`, `itk.Point`, or `itk.Vector` is requested."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Image origin: itkPointD2 ([2, 10])\n",
      "Image origin: [2.0, 10.0]\n",
      "Image origin: (2.0, 10.0)\n"
     ]
    }
   ],
   "source": [
    "image.SetOrigin([2, 10])\n",
    "print(f\"Image origin: {str(image.GetOrigin())}\")\n",
    "print(f\"Image origin: {str(list(image.GetOrigin()))}\")\n",
    "print(f\"Image origin: {str(tuple(image.GetOrigin()))}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# scikit-learn"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "* *scikit-learn* is a machine learning package in Python.\n",
    "* scikit-learn is used to illustrate solving a problem using ITK and *NumPy* arrays."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [],
   "source": [
    "import sklearn"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "First, we load 10 2D-images of circles with different radii and center position to which noise has been added and their corresponding ground truth segmentations."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "itkSize2 ([50, 50])\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Segmentation')"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "l_label = []\n",
    "l_image = []\n",
    "\n",
    "for i in range(0, 10):\n",
    "    image_name = \"data/sklearn/im%d.nrrd\" % i\n",
    "    image = itk.imread(image_name, itk.F)\n",
    "    array = itk.array_from_image(image)\n",
    "    l_image.append(array)\n",
    "\n",
    "    label_name = \"data/sklearn/im%d_label.nrrd\" % i\n",
    "    image = itk.imread(label_name, itk.UC)\n",
    "    array = itk.array_from_image(image)\n",
    "    l_label.append(array)\n",
    "\n",
    "size = itk.size(image)\n",
    "print(size)\n",
    "\n",
    "plt.subplot(1, 2, 1)\n",
    "plt.imshow(l_image[0])\n",
    "plt.title(\"Image\")\n",
    "\n",
    "plt.subplot(1, 2, 2)\n",
    "plt.imshow(l_label[0])\n",
    "plt.title(\"Segmentation\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "The goal is to find the segmentation based on the input image."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "We create arrays of data:\n",
    "* X - the input samples\n",
    "* Y - the target values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [],
   "source": [
    "X0 = l_image[0].flatten()\n",
    "X = X0\n",
    "\n",
    "Y = l_label[0].flatten()\n",
    "\n",
    "for i in range(1, 10):\n",
    "    X = np.concatenate((X, l_image[i].flatten()))\n",
    "    Y = np.concatenate((Y, l_label[i].flatten()))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "* We use a supervised learning methods based on Bayes’ theorem.\n",
    "* The only information provided to the algorithm is the image intensity value."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x7ff470cf9fd0>"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from sklearn.naive_bayes import GaussianNB\n",
    "\n",
    "clf = GaussianNB()\n",
    "clf.fit(X.reshape(-1, 1), Y)\n",
    "\n",
    "result = clf.predict(X0.reshape(-1, 1)).reshape(size[0], size[1])\n",
    "plt.imshow(result)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "To improve our segmentation, we filter the input image with a median image filter and add this information as a second sample vector.\n",
    "\n",
    "ITK is often used to read, reformat, denoise, and augment medical imaging data to improve the effectiveness of medical imaging models."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Median Filtered Image')"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "l_median = []\n",
    "for i in range(0, 10):\n",
    "    image_name = \"data/sklearn/im%d.nrrd\" % i\n",
    "    image = itk.imread(image_name, itk.F)\n",
    "\n",
    "    median = itk.median_image_filter(image, radius=3)\n",
    "\n",
    "    array = itk.array_from_image(median)\n",
    "    l_median.append(array)\n",
    "\n",
    "plt.gray()\n",
    "plt.imshow(l_median[0])\n",
    "plt.title(\"Median Filtered Image\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [],
   "source": [
    "M0 = l_median[0].flatten()\n",
    "M = M0\n",
    "X0 = np.concatenate((X0.reshape(-1, 1), M0.reshape(-1, 1)), axis=1)\n",
    "for i in range(1, 10):\n",
    "    M = np.concatenate((M, l_median[i].flatten()))\n",
    "\n",
    "X = np.concatenate((X.reshape(-1, 1), M.reshape(-1, 1)), axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x7ff470c164d0>"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "clf.fit(X, Y)\n",
    "result = clf.predict(X0).reshape(50, 50)\n",
    "plt.imshow(result)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Typical processing\n",
    "\n",
    "* Resampling for consistent pixel grid size and spacing\n",
    "* Image preprocessing\n",
    "    * Bias field correction, e.g. `n4_bias_field_correction_image_filter`\n",
    "    * Noise reduction, e.g. `smoothing_recursive_gaussian_image_filter`\n",
    "    * Feature computation, e.g. texture, wavelet, or edge detector\n",
    "* Converting ITK data to NumPy and organize the data as needed\n",
    "* Train classifier\n",
    "* Use classifier on new data\n",
    "* Convert classifier result to ITK data\n",
    "* Apply post processing filters\n",
    "    * Fill holes, e.g. `binary_fillhole_image_filter`\n",
    "    * Smoothing, e.g. `median_image_filter`"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "## Two ways of using ITK in Python\n",
    "\n",
    "* Functional programming API\n",
    " * *Pythonic*\n",
    " * Eager execution\n",
    " * More concise\n",
    " * A few functions and filters are not available\n",
    "* Object-oriented way\n",
    " * Set up processing pipelines\n",
    " * Delayed execution\n",
    " * Full access to ITK\n",
    " * Conserve memory\n",
    "   * Optimally re-use and release pixel buffer memory\n",
    "   * Stream process pipelines in chunks"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Let's start with the Pythonic way"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [],
   "source": [
    "image = itk.imread(\"data/CBCT-TextureInput.png\", itk.ctype(\"float\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [],
   "source": [
    "filtered_image = itk.median_image_filter(image, radius=3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "                <img id=\"screenshot_imjoy_window_57400162-b2f8-467d-b8d5-c036a516f459\" 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>\n",
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\";\n",
       "                    var viewer = document.getElementById(\"imjoy_window_57400162-b2f8-467d-b8d5-c036a516f459\");\n",
       "                    // Hide the static image if the Viewer is visible\n",
       "                    image.style.display = viewer ? \"none\" : \"block\";\n",
       "                </script>\n",
       "            "
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "window.connectPlugin && window.connectPlugin(\"a1a409e0-26f1-4324-9230-fcb6a2cd79aa\")"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div id=\"301c4ed3-54e5-40c2-9fb7-b1da6107a4e3\"></div>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<itkwidgets.viewer.Viewer at 0x7ff483ab6310>"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "view(filtered_image, ui_collapsed=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "### Pythonic exercises\n",
    "\n",
    "* In the example above, change the radius of the filter and observe the result.\n",
    "* Replace filter with `mean_image_filter`\n",
    "* Replace filter with `otsu_threshold_image_filter`\n",
    "* Visualize results"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "Uncomment and change the radius of the filter and observe the result."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "slideshow": {
     "slide_type": "-"
    }
   },
   "outputs": [],
   "source": [
    "# median_filtered_image = itk.median_image_filter(image, radius = XX)\n",
    "# view(median_filtered_image)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "slideshow": {
     "slide_type": "-"
    }
   },
   "outputs": [],
   "source": [
    "# %load solutions/2_Using_ITK_in_Python_real_world_filters_median.py"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "Uncomment and replace filter with `mean_image_filter`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "slideshow": {
     "slide_type": "-"
    }
   },
   "outputs": [],
   "source": [
    "# mean_filtered_image = itk.filter(image, radius = 5)\n",
    "# view(mean_filtered_image)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "slideshow": {
     "slide_type": "-"
    }
   },
   "outputs": [],
   "source": [
    "# %load solutions/2_Using_ITK_in_Python_real_world_filters_mean.py"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "Uncomment and replace filter with `otsu_threshold_image_filter`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "slideshow": {
     "slide_type": "-"
    }
   },
   "outputs": [],
   "source": [
    "# otsu_filtered_image = itk.filter(image)\n",
    "# view(otsu_filtered_image)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "slideshow": {
     "slide_type": "-"
    }
   },
   "outputs": [],
   "source": [
    "# %load solutions/2_Using_ITK_in_Python_real_world_filters_otsu.py"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Object-oriented\n",
    "\n",
    "* Two types of C++ ITK objects\n",
    " * Smart pointers (hint: most ITK objects are smart pointers)\n",
    " * \"Simple\" objects\n",
    "* Translates in two ways of creating objects in Python\n",
    " * `obj = itk.SmartPointerObjectType.New()` (use auto-completion to see if `New()` method exists)\n",
    " * `obj = itk.SimpleObjectType()`"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "## Examples of objects\n",
    "\n",
    "* With `New()` method:\n",
    " * `itk.Image`\n",
    " * `itk.MedianImageFilter`\n",
    "* Without `New()` method:\n",
    " * `itk.Index`\n",
    " * `itk.RGBPixel`\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Filters with object-oriented syntax"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "                <img id=\"screenshot_imjoy_window_b1a8c16b-a5d9-4e2d-8541-3de3d44db085\" 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\";\n",
       "                    var viewer = document.getElementById(\"imjoy_window_b1a8c16b-a5d9-4e2d-8541-3de3d44db085\");\n",
       "                    // Hide the static image if the Viewer is visible\n",
       "                    image.style.display = viewer ? \"none\" : \"block\";\n",
       "                </script>\n",
       "            "
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "window.connectPlugin && window.connectPlugin(\"a1a409e0-26f1-4324-9230-fcb6a2cd79aa\")"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div id=\"06d5043e-2383-4a47-8205-77885ac1edb7\"></div>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<itkwidgets.viewer.Viewer at 0x7ff4712cd250>"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "PixelType = itk.ctype(\"float\")\n",
    "image = itk.imread(\"data/CBCT-TextureInput.png\", PixelType)\n",
    "\n",
    "ImageType = itk.Image[PixelType, 2]\n",
    "median_filter = itk.MedianImageFilter[ImageType, ImageType].New()\n",
    "median_filter.SetInput(image)\n",
    "median_filter.SetRadius(4)\n",
    "median_filter.Update()\n",
    "view(median_filter.GetOutput(), ui_collapsed=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "### Object-oriented exercises\n",
    "\n",
    "* In the example above, change the radius of the filter and observe the result.\n",
    "* Replace filter with `MeanImageFilter`\n",
    "* Replace filter with `OtsuThresholdImageFilter`\n",
    "* Visualize results"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "Uncomment and change the radius of the filter and observe the result."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "slideshow": {
     "slide_type": "-"
    }
   },
   "outputs": [],
   "source": [
    "# median_filter = itk.MedianImageFilter[ImageType, ImageType].New()\n",
    "# median_filter.SetInput(image)\n",
    "# median_filter.SetRadius(XX)\n",
    "# median_filter.Update()\n",
    "# median_filtered_image = median_filter.GetOutput()\n",
    "# view(median_filtered_image)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "slideshow": {
     "slide_type": "-"
    }
   },
   "outputs": [],
   "source": [
    "# %load solutions/2_Using_ITK_in_Python_real_world_filters_MedianFilter.py"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "Uncomment and edit to use `MeanImageFilter`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "slideshow": {
     "slide_type": "-"
    }
   },
   "outputs": [],
   "source": [
    "# mean_filter = itk.XX[ImageType, ImageType].New()\n",
    "# mean_filter.SetInput(XX)\n",
    "# mean_filter.SetRadius(XX)\n",
    "# mean_filter.Update()\n",
    "# mean_filtered_image = mean_filter.GetOutput()\n",
    "# view(mean_filtered_image)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "slideshow": {
     "slide_type": "-"
    }
   },
   "outputs": [],
   "source": [
    "# %load solutions/2_Using_ITK_in_Python_real_world_filters_MeanFilter.py"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "Uncomment and replace filter with `OtsuThresholdImageFilter`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "slideshow": {
     "slide_type": "-"
    }
   },
   "outputs": [],
   "source": [
    "# InputImageType = itk.Image[itk.ctype('float'), 2]\n",
    "# OutputImageType = itk.Image[itk.ctype('short'), 2]\n",
    "\n",
    "# otsu_filter = itk.OtsuThresholdImageFilter[XX]\n",
    "# XX"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "slideshow": {
     "slide_type": "-"
    }
   },
   "outputs": [],
   "source": [
    "# %load solutions/2_Using_ITK_in_Python_real_world_filters_OtsuFilter.py"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "## ITK Object-oriented Summary\n",
    "* Has `New()` method?\n",
    "  * Call `Update()` with filters!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Supported Image Types"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "### Unsupported (image) types\n",
    "\n",
    "ITK filters have compile-time performance optimized for a specific image types and dimensions.\n",
    "\n",
    "When an attempt is made to use a filter with an image type that is not supported, a error will occur like:"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "`KeyError: \"itkTemplate : No template [<class 'itkImagePython.itkImageD2'>] for the itk::ImageFileReader class\"`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [],
   "source": [
    "# image = itk.imread(\"data/BrainProtonDensitySlice.png\", itk.D)\n",
    "# print(image)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To find the supported types for a filter, call `.GetTypes()` on the filter. `itk.imread` wraps, the `itk.ImageFileReader` filter."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<itkTemplate itk::ImageFileReader>\n",
      "Options:\n",
      "  [<class 'itk.itkCoocurrenceTextureFeaturesImageFilterPython.itkImageVF82'>,]\n",
      "  [<class 'itk.itkCoocurrenceTextureFeaturesImageFilterPython.itkImageVF83'>,]\n",
      "  [<class 'itk.itkCoocurrenceTextureFeaturesImageFilterPython.itkImageVF84'>,]\n",
      "  [<class 'itk.itkImagePython.itkImageCD2'>,]\n",
      "  [<class 'itk.itkImagePython.itkImageCD3'>,]\n",
      "  [<class 'itk.itkImagePython.itkImageCD4'>,]\n",
      "  [<class 'itk.itkImagePython.itkImageCF2'>,]\n",
      "  [<class 'itk.itkImagePython.itkImageCF3'>,]\n",
      "  [<class 'itk.itkImagePython.itkImageCF4'>,]\n",
      "  [<class 'itk.itkImagePython.itkImageCVF22'>,]\n",
      "  [<class 'itk.itkImagePython.itkImageCVF23'>,]\n",
      "  [<class 'itk.itkImagePython.itkImageCVF24'>,]\n",
      "  [<class 'itk.itkImagePython.itkImageCVF32'>,]\n",
      "  [<class 'itk.itkImagePython.itkImageCVF33'>,]\n",
      "  [<class 'itk.itkImagePython.itkImageCVF34'>,]\n",
      "  [<class 'itk.itkImagePython.itkImageCVF42'>,]\n",
      "  [<class 'itk.itkImagePython.itkImageCVF43'>,]\n",
      "  [<class 'itk.itkImagePython.itkImageCVF44'>,]\n",
      "  [<class 'itk.itkImagePython.itkImageD2'>,]\n",
      "  [<class 'itk.itkImagePython.itkImageD3'>,]\n",
      "  [<class 'itk.itkImagePython.itkImageD4'>,]\n",
      "  [<class 'itk.itkImagePython.itkImageF2'>,]\n",
      "  [<class 'itk.itkImagePython.itkImageF3'>,]\n",
      "  [<class 'itk.itkImagePython.itkImageF4'>,]\n",
      "  [<class 'itk.itkImagePython.itkImageRGBAUC2'>,]\n",
      "  [<class 'itk.itkImagePython.itkImageRGBAUC3'>,]\n",
      "  [<class 'itk.itkImagePython.itkImageRGBAUC4'>,]\n",
      "  [<class 'itk.itkImagePython.itkImageRGBUC2'>,]\n",
      "  [<class 'itk.itkImagePython.itkImageRGBUC3'>,]\n",
      "  [<class 'itk.itkImagePython.itkImageRGBUC4'>,]\n",
      "  [<class 'itk.itkImagePython.itkImageSI2'>,]\n",
      "  [<class 'itk.itkImagePython.itkImageSI3'>,]\n",
      "  [<class 'itk.itkImagePython.itkImageSI4'>,]\n",
      "  [<class 'itk.itkImagePython.itkImageSS2'>,]\n",
      "  [<class 'itk.itkImagePython.itkImageSS3'>,]\n",
      "  [<class 'itk.itkImagePython.itkImageSS4'>,]\n",
      "  [<class 'itk.itkImagePython.itkImageUC2'>,]\n",
      "  [<class 'itk.itkImagePython.itkImageUC3'>,]\n",
      "  [<class 'itk.itkImagePython.itkImageUC4'>,]\n",
      "  [<class 'itk.itkImagePython.itkImageUI2'>,]\n",
      "  [<class 'itk.itkImagePython.itkImageUI3'>,]\n",
      "  [<class 'itk.itkImagePython.itkImageUI4'>,]\n",
      "  [<class 'itk.itkImagePython.itkImageULL2'>,]\n",
      "  [<class 'itk.itkImagePython.itkImageULL3'>,]\n",
      "  [<class 'itk.itkImagePython.itkImageULL4'>,]\n",
      "  [<class 'itk.itkImagePython.itkImageUS2'>,]\n",
      "  [<class 'itk.itkImagePython.itkImageUS3'>,]\n",
      "  [<class 'itk.itkImagePython.itkImageUS4'>,]\n",
      "  [<class 'itk.itkImagePython.itkImageVF22'>,]\n",
      "  [<class 'itk.itkImagePython.itkImageVF23'>,]\n",
      "  [<class 'itk.itkImagePython.itkImageVF24'>,]\n",
      "  [<class 'itk.itkImagePython.itkImageVF32'>,]\n",
      "  [<class 'itk.itkImagePython.itkImageVF33'>,]\n",
      "  [<class 'itk.itkImagePython.itkImageVF34'>,]\n",
      "  [<class 'itk.itkImagePython.itkImageVF42'>,]\n",
      "  [<class 'itk.itkImagePython.itkImageVF43'>,]\n",
      "  [<class 'itk.itkImagePython.itkImageVF44'>,]\n",
      "  [<class 'itk.itkRunLengthTextureFeaturesImageFilterPython.itkImageVF102'>,]\n",
      "  [<class 'itk.itkRunLengthTextureFeaturesImageFilterPython.itkImageVF103'>,]\n",
      "  [<class 'itk.itkRunLengthTextureFeaturesImageFilterPython.itkImageVF104'>,]\n",
      "  [<class 'itk.itkVectorImagePython.itkVectorImageD2'>,]\n",
      "  [<class 'itk.itkVectorImagePython.itkVectorImageD3'>,]\n",
      "  [<class 'itk.itkVectorImagePython.itkVectorImageD4'>,]\n",
      "  [<class 'itk.itkVectorImagePython.itkVectorImageF2'>,]\n",
      "  [<class 'itk.itkVectorImagePython.itkVectorImageF3'>,]\n",
      "  [<class 'itk.itkVectorImagePython.itkVectorImageF4'>,]\n",
      "  [<class 'itk.itkVectorImagePython.itkVectorImageSS2'>,]\n",
      "  [<class 'itk.itkVectorImagePython.itkVectorImageSS3'>,]\n",
      "  [<class 'itk.itkVectorImagePython.itkVectorImageSS4'>,]\n",
      "  [<class 'itk.itkVectorImagePython.itkVectorImageUC2'>,]\n",
      "  [<class 'itk.itkVectorImagePython.itkVectorImageUC3'>,]\n",
      "  [<class 'itk.itkVectorImagePython.itkVectorImageUC4'>,]\n",
      "  [<class 'itk.itkVectorImagePython.itkVectorImageUS2'>,]\n",
      "  [<class 'itk.itkVectorImagePython.itkVectorImageUS3'>,]\n",
      "  [<class 'itk.itkVectorImagePython.itkVectorImageUS4'>,]\n"
     ]
    }
   ],
   "source": [
    "itk.ImageFileReader.GetTypes()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "One approach to handle this type of error is is to read the image into a supported pixel type:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [],
   "source": [
    "image = itk.imread(\"data/KitwareITK.jpg\", itk.F)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "Another approach is to cast the image to a supported image type:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [],
   "source": [
    "InputImageType = itk.Image[itk.F, 2]\n",
    "OutputImageType = itk.Image[itk.UC, 2]\n",
    "cast_filter = itk.CastImageFilter[InputImageType, OutputImageType].New(image)\n",
    "cast_filter.Update()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "## Appendix"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "### Functions to know\n",
    "* `itk.imread(file_name [, pixel_type])`\n",
    "* `itk.imwrite(image, file_name [, compression])`\n",
    "* `itk.array_from_image(image)` and `itk.array_view_from_image(image)`\n",
    "* `itk.image_from_array(arr)` and `itk.image_view_from_array(arr)`"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "### Pixel types - Two options\n",
    "* itk.ctype('float'), itk.ctype('unsigned char')\n",
    "* itk.F, itk.UC"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "source": [
    "### Convenience functions\n",
    "* `itk.size(image)`\n",
    "* `itk.spacing(image)`\n",
    "* `itk.origin(image)`\n",
    "* `itk.index(image)`\n",
    "* `itk.physical_size(image)`"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "### Type names in C++, ITK Python and Numpy\n",
    "| C++            | ITK Python   | Numpy        |\n",
    "| :------------- | :----------: | -----------: |\n",
    "|  float         | itk.F        | numpy.float32|\n",
    "| double         | itk.D        | numpy.float64|\n",
    "| unsigned char  | itk.UC       | numpy.uint8  |\n",
    "| bool           | itk.B        | bool         |\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "notes"
    }
   },
   "source": [
    "The complete list of types can be found in the [ITK Software Guide](https://itk.org/ITKSoftwareGuide/html/Book1/ITKSoftwareGuide-Book1ch9.html#x48-1530009.5).\n",
    "Alternatively, such correspondence can be obtained by the following methods."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "True\n",
      "True\n"
     ]
    }
   ],
   "source": [
    "# names in C++ and ITK python\n",
    "print(itk.F == itk.ctype(\"float\"))  # True\n",
    "print(itk.B == itk.ctype(\"bool\"))  # True"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'numpy.float64'>\n",
      "<class 'numpy.uint8'>\n",
      "<class 'numpy.bool_'>\n"
     ]
    }
   ],
   "source": [
    "# print the numpy names of ITK python data types\n",
    "print(itk.D.dtype)  # <class 'numpy.float64'>\n",
    "print(itk.UC.dtype)  # <class 'numpy.uint8'>\n",
    "print(itk.B.dtype)  # <class 'bool'>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Specify pixel types\n",
    "* `Some ITK functions (e.g., imread()) will automatically detect the pixel type and dimensions of the image.`\n",
    "* `However, in certain cases, you want to choose the pixel type of the image that is read. `"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'itk.itkImagePython.itkImageRGBUC2'>\n",
      "<class 'itk.itkImagePython.itkImageUC2'>\n"
     ]
    }
   ],
   "source": [
    "# Automatically detect\n",
    "image = itk.imread(\"data/KitwareITK.jpg\")\n",
    "print(type(image))  # <class 'itkImagePython.itkImageRGBUC2'>\n",
    "\n",
    "# specify pixel type\n",
    "image = itk.imread(\"data/KitwareITK.jpg\", itk.ctype(\"unsigned char\"))\n",
    "print(type(image))  # <class 'itkImagePython.itkImageUC2'>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "See also: the **[ITK Python Quick Start Guide](https://docs.itk.org/en/latest/learn/python_quick_start.html)**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Enjoy ITK!"
   ]
  }
 ],
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