examples/Interactive Widgets/Image Processing.ipynb

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  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Image Manipulation with skimage"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This example builds a simple UI for performing basic image manipulation with [scikit-image](http://scikit-image.org/)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "from IPython.html.widgets import interact, interactive, fixed\n",
    "from IPython.display import display"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "import skimage\n",
    "from skimage import data, filter, io"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
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   "outputs": [],
   "source": [
    "i = data.coffee()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
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   "outputs": [],
   "source": [
    "io.Image(i)"
   ]
  },
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   "cell_type": "code",
   "execution_count": null,
   "metadata": {
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   "outputs": [],
   "source": [
    "def edit_image(image, sigma=0.1, r=1.0, g=1.0, b=1.0):\n",
    "    new_image = filter.gaussian_filter(image, sigma=sigma, multichannel=True)\n",
    "    new_image[:,:,0] = r*new_image[:,:,0]\n",
    "    new_image[:,:,1] = g*new_image[:,:,1]\n",
    "    new_image[:,:,2] = b*new_image[:,:,2]\n",
    "    new_image = io.Image(new_image)\n",
    "    display(new_image)\n",
    "    return new_image"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
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    "lims = (0.0,1.0,0.01)\n",
    "w = interactive(edit_image, image=fixed(i), sigma=(0.0,10.0,0.1), r=lims, g=lims, b=lims)\n",
    "display(w)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
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   "outputs": [],
   "source": [
    "w.result"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Python 3 only: Function annotations"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In Python 3, you can use the new function annotation syntax to describe widgets for interact:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "lims = (0.0,1.0,0.01)\n",
    "\n",
    "@interact\n",
    "def edit_image(image: fixed(i), sigma:(0.0,10.0,0.1)=0.1, r:lims=1.0, g:lims=1.0, b:lims=1.0):\n",
    "    new_image = filter.gaussian_filter(image, sigma=sigma, multichannel=True)\n",
    "    new_image[:,:,0] = r*new_image[:,:,0]\n",
    "    new_image[:,:,1] = g*new_image[:,:,1]\n",
    "    new_image[:,:,2] = b*new_image[:,:,2]\n",
    "    new_image = io.Image(new_image)\n",
    "    display(new_image)\n",
    "    return new_image"
   ]
  }
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