{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "0",
   "metadata": {
    "editable": true,
    "slideshow": {
     "slide_type": ""
    },
    "tags": []
   },
   "source": [
    "```{eval-rst}\n",
    ".. include:: sinebow.rst\n",
    "\n",
    "```\n",
    "\n",
    "{sinebow23}`Cell contours`\n",
    "==================================\n",
    "\n",
    "The boundary of a closed and bounded 2D region may be parameterized as a function of one variable. Instance masks, or more specifically, affinity graphs, allow us to traverse the boundary of a cell and index each pixel from 0 to N-1, where N is the number of boundary pixels. Indexed/parameterized boundaries are called contours.   \n",
    "\n",
    "\n",
    "{header-2}`Example cells`\n",
    "-------------------------\n",
    "The [previous section](affinity.ipynb#affinity-segmentation) demonstrated the generation of cell contours in the context of self-contact, where a cyclic color map was applied to visualize the cell boundaries. Here we demonstrate how to convert contours to vector outlines with a simpler set of cell masks. We first preprocess the masks to remove any \"spurs\" (boundary pixels sharing only one face with a neighbor), then generate an affinity graph, compute the contours, and finally make a spline to interpolate a smooth outline through the contour pixels. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1",
   "metadata": {
    "editable": true,
    "slideshow": {
     "slide_type": ""
    },
    "tags": [
     "remove-cell"
    ]
   },
   "outputs": [],
   "source": [
    "%load_ext autoreload\n",
    "%autoreload 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2",
   "metadata": {
    "editable": true,
    "slideshow": {
     "slide_type": ""
    },
    "tags": [
     "hide-input"
    ]
   },
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 7200x1200 with 6 Axes>"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%capture --no-display \n",
    "\n",
    "from scipy.interpolate import splprep, splev\n",
    "from skimage.segmentation import find_boundaries\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.path as mpath\n",
    "import matplotlib.patches as mpatches\n",
    "\n",
    "\n",
    "import matplotlib as mpl\n",
    "%matplotlib inline\n",
    "\n",
    "mpl.rcParams['figure.dpi'] = 600\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib import cm\n",
    "plt.style.use('dark_background')\n",
    "plt.rcParams['image.cmap'] = 'gray'\n",
    "plt.rcParams['image.interpolation'] = 'nearest'\n",
    "plt.rcParams['figure.frameon'] = False\n",
    "\n",
    "\n",
    "import omnipose\n",
    "import cellpose_omni\n",
    "import numpy as np\n",
    "\n",
    "from omnipose.plot import imshow\n",
    "\n",
    "from pathlib import Path\n",
    "import os, re\n",
    "from cellpose_omni import io\n",
    "import fastremap\n",
    "\n",
    "omnidir = Path(omnipose.__file__).parent.parent.parent\n",
    "basedir = os.path.join(omnidir,'docs','_static')\n",
    "# name = 'ecoli_phase'\n",
    "name = 'ecoli'\n",
    "ext = '.tif'\n",
    "image = io.imread(os.path.join(basedir,name+ext))\n",
    "masks = io.imread(os.path.join(basedir,name+'_labels'+ext))\n",
    "slc = omnipose.measure.crop_bbox(masks>0,pad=0)[0]\n",
    "masks = fastremap.renumber(masks[slc])[0]\n",
    "image = image[slc]\n",
    "\n",
    "# set up dimensions\n",
    "msk = masks\n",
    "dim = msk.ndim\n",
    "shape = msk.shape\n",
    "steps,inds,idx,fact,sign = omnipose.utils.kernel_setup(dim)\n",
    "\n",
    "# remove spur points - this method is way easier than running core._despur() on the priginal affinity graph\n",
    "bd = find_boundaries(msk,mode='inner',connectivity=2)\n",
    "msk, bounds, _ = omnipose.core.boundary_to_masks(bd,binary_mask=msk>0,connectivity=1) \n",
    "\n",
    "# generate affinity graph\n",
    "coords = np.nonzero(msk)\n",
    "affinity_graph =  omnipose.core.masks_to_affinity(msk, coords, steps, inds, idx, fact, sign, dim)\n",
    "neighbors = omnipose.utils.get_neighbors(tuple(coords),steps,dim,shape) # shape (d,3**d,npix)\n",
    "\n",
    "# find contours \n",
    "contour_map, contour_list, unique_L = omnipose.core.get_contour(msk,\n",
    "                                                                affinity_graph,\n",
    "                                                                coords,\n",
    "                                                                neighbors,\n",
    "                                                                cardinal_only=1)\n",
    "\n",
    "# make a figure\n",
    "dpi=90\n",
    "fig = imshow([image,masks,bd,bounds,contour_map,image],\n",
    "             titles=['image','masks','boundary','despurred boundary','contour','vector outline'], \n",
    "             dpi=dpi, hold=True)\n",
    "\n",
    "# plot vector outlines on last panel \n",
    "ax = fig.get_axes()[-1]\n",
    "\n",
    "# outline params\n",
    "smooth_factor = 5 # smaller is smoother, higher follows pixel edges more tightly \n",
    "color = 'r' \n",
    "\n",
    "\n",
    "for contour in contour_list:\n",
    "    if len(contour) > 1:\n",
    "        pts = np.stack([c[contour] for c in coords]).T\n",
    "        tck, u = splprep(pts.T, u=None, s=len(pts)/smooth_factor, per=1) \n",
    "        u_new = np.linspace(u.min(), u.max(), len(pts))\n",
    "        x_new, y_new = splev(u_new, tck, der=0)\n",
    "\n",
    "        # Define the points of the polygon\n",
    "        points = np.column_stack([y_new, x_new])\n",
    "        \n",
    "        # Create a Path from the points\n",
    "        path = mpath.Path(points, closed=True)\n",
    "        \n",
    "        # Create a PathPatch from the Path\n",
    "        patch = mpatches.PathPatch(path, fill=None, edgecolor=color, linewidth= dpi/72, capstyle='round')\n",
    "        \n",
    "        ax.add_patch(patch)\n",
    "\n",
    "fig"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3",
   "metadata": {
    "editable": true,
    "slideshow": {
     "slide_type": ""
    },
    "tags": []
   },
   "source": [
    "Currently, the contours are not following strict left- or right-handedness, and that is something I would like to improve. \n",
    "<!-- \n",
    "{header-2}`Curvature measurements`\n",
    "--------------------------------- -->"
   ]
  }
 ],
 "metadata": {
  "keep_output": true,
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}