{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "b45e65ab-187c-4c56-ae35-6fe2128c4180",
   "metadata": {},
   "source": [
    "# Terminology\n",
    "This notebook serves showing images and segmented images of different kind to explain common terminology."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "25ac31c4-92b1-4632-a3b5-c2a1ffdf32de",
   "metadata": {},
   "outputs": [],
   "source": [
    "from skimage.io import imread, imshow\n",
    "import napari_segment_blobs_and_things_with_membranes as nsbatwm\n",
    "import stackview\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "aff7f2a1-1609-4a5e-8b87-11cf36290f06",
   "metadata": {},
   "source": [
    "## Intensity images\n",
    "We start with intensity images as they are commonly produced by microscopes."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "3a7a4f3f-81a2-4cdc-bfe4-fbf36586e5e0",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\haase\\mambaforge\\envs\\bio39\\lib\\site-packages\\skimage\\io\\_plugins\\matplotlib_plugin.py:150: UserWarning: Low image data range; displaying image with stretched contrast.\n",
      "  lo, hi, cmap = _get_display_range(image)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x2ba68647e20>"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "input_image = imread(\"../../data/BBBC022/IXMtest_A02_s9.tif\")[:,:,0]\n",
    "\n",
    "cropped_image = input_image[0:200, 200:400]\n",
    "\n",
    "imshow(cropped_image, cmap='Greys_r')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "863deaf0-c6ad-4bcb-b1ea-934118b122a8",
   "metadata": {},
   "source": [
    "## Binary images\n",
    "Basic segmentation algorithms lead to binary images. They are characterized by having only two different intensities such as `0` and `1`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "2eb5a47a-f98d-42b4-8c71-460c28b5e848",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<tr>\n",
       "<td>\n",
       "<img src=\"data:image/png;base64,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\"></img>\n",
       "</td>\n",
       "<td style=\"text-align: center; vertical-align: top;\">\n",
       "<b><a href=\"https://www.napari-hub.org/plugins/napari-segment-blobs-and-things-with-membranes\" target=\"_blank\">nsbatwm made </a>image</b><br/>\n",
       "<table>\n",
       "<tr><td>shape</td><td>(200,&nbsp;200)</td></tr>\n",
       "<tr><td>dtype</td><td>int32</td></tr>\n",
       "<tr><td>size</td><td>156.2 kB</td></tr>\n",
       "<tr><td>min</td><td>0</td></tr><tr><td>max</td><td>1</td></tr>\n",
       "</table>\n",
       "\n",
       "</td>\n",
       "</tr>\n",
       "</table>"
      ],
      "text/plain": [
       "StackViewNDArray([[0, 0, 0, ..., 0, 0, 0],\n",
       "                  [0, 0, 0, ..., 0, 0, 0],\n",
       "                  [0, 0, 0, ..., 0, 0, 0],\n",
       "                  ...,\n",
       "                  [0, 0, 0, ..., 0, 0, 0],\n",
       "                  [0, 0, 0, ..., 0, 0, 0],\n",
       "                  [0, 0, 0, ..., 0, 0, 0]])"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "binary_image = nsbatwm.threshold_otsu(cropped_image)\n",
    "binary_image"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4850d8f4-617a-4a30-9cd3-dd89bde3f5e7",
   "metadata": {},
   "source": [
    "## Instance segmentation\n",
    "If each individual object has its own intensity / color, we call it an instance segmentation label image. The inistances are labeled with integer numbers. The maximum intensity (label) in this image typically corresponds to the number of objects."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "af147fa5-ce5b-4184-98f5-a5fc92a38943",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<tr>\n",
       "<td>\n",
       "<img src=\"data:image/png;base64,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\"></img>\n",
       "</td>\n",
       "<td style=\"text-align: center; vertical-align: top;\">\n",
       "<b><a href=\"https://www.napari-hub.org/plugins/napari-segment-blobs-and-things-with-membranes\" target=\"_blank\">nsbatwm made </a>image</b><br/>\n",
       "<table>\n",
       "<tr><td>shape</td><td>(200,&nbsp;200)</td></tr>\n",
       "<tr><td>dtype</td><td>int32</td></tr>\n",
       "<tr><td>size</td><td>156.2 kB</td></tr>\n",
       "<tr><td>min</td><td>0</td></tr><tr><td>max</td><td>12</td></tr>\n",
       "</table>\n",
       "\n",
       "</td>\n",
       "</tr>\n",
       "</table>"
      ],
      "text/plain": [
       "StackViewNDArray([[0, 0, 0, ..., 0, 0, 0],\n",
       "                  [0, 0, 0, ..., 0, 0, 0],\n",
       "                  [0, 0, 0, ..., 0, 0, 0],\n",
       "                  ...,\n",
       "                  [0, 0, 0, ..., 0, 0, 0],\n",
       "                  [0, 0, 0, ..., 0, 0, 0],\n",
       "                  [0, 0, 0, ..., 0, 0, 0]])"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "instance_segmentation = nsbatwm.voronoi_otsu_labeling(cropped_image, \n",
    "                                        spot_sigma=5, \n",
    "                                        outline_sigma=1)\n",
    "\n",
    "instance_segmentation"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ab0a7241-a868-47ab-81c7-aba4fab1bdbe",
   "metadata": {},
   "source": [
    "When you run this notebook locally, you can hover with your mouse over the image and inspect pixel intensities."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "93c2224d-a994-4cff-ab30-49d0642db886",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "e5ee5a7795a54039ba9eb30a1566f154",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "VBox(children=(HBox(children=(VBox(children=(ImageWidget(height=200, width=200),)),)), IntSlider(value=100, de…"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import stackview\n",
    "stackview.picker(instance_segmentation)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bff2f3ad-4288-42d8-9a3f-f70369ee8b32",
   "metadata": {},
   "source": [
    "## Semantic segmentation\n",
    "Semantic segmentation label images can have more than two labels and typically label regions where pixels have the same meanings, for example: nuclei, nuclear envelope and background."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "29bc29d4-7997-4278-b6e5-e73b56c5591e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<tr>\n",
       "<td>\n",
       "<img src=\"data:image/png;base64,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\"></img>\n",
       "</td>\n",
       "<td style=\"text-align: center; vertical-align: top;\">\n",
       "<b><a href=\"https://www.napari-hub.org/plugins/napari-segment-blobs-and-things-with-membranes\" target=\"_blank\">nsbatwm made  made </a>image</b><br/>\n",
       "<table>\n",
       "<tr><td>shape</td><td>(200,&nbsp;200)</td></tr>\n",
       "<tr><td>dtype</td><td>int64</td></tr>\n",
       "<tr><td>size</td><td>312.5 kB</td></tr>\n",
       "<tr><td>min</td><td>1</td></tr><tr><td>max</td><td>3</td></tr>\n",
       "</table>\n",
       "\n",
       "</td>\n",
       "</tr>\n",
       "</table>"
      ],
      "text/plain": [
       "StackViewNDArray([[1, 1, 1, ..., 1, 1, 1],\n",
       "                  [1, 1, 1, ..., 1, 1, 1],\n",
       "                  [1, 1, 1, ..., 1, 1, 1],\n",
       "                  ...,\n",
       "                  [1, 1, 1, ..., 1, 1, 1],\n",
       "                  [1, 1, 1, ..., 1, 1, 1],\n",
       "                  [1, 1, 1, ..., 1, 1, 1]], dtype=int64)"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "semantic_segmentation = binary_image + nsbatwm.maximum_filter(binary_image).astype(np.uint32) + 1\n",
    "semantic_segmentation"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9811b205-4973-4b56-b833-7b745ef6cc77",
   "metadata": {},
   "source": [
    "## Sparse annotations\n",
    "Annotated label images are typically drawn by humans. When executing this notebook locally, you can draw some annotations. If you annotate a couple of nuclei precisely, you create a sparse nuclei annotation. Hold down the ALT key to erase an annotation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "190b7905-02ce-4656-b99e-3acd8e938423",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "046b028af8aa4b13a61c5aafcb2ff501",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "VBox(children=(HBox(children=(HBox(children=(VBox(children=(ImageWidget(height=200, width=200),)),)), VBox(chi…"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sparse_label_annotation = np.zeros_like(cropped_image, dtype=np.uint32)\n",
    "stackview.annotate(cropped_image, sparse_label_annotation)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "836fd117-b702-4909-9f7c-ad4e923bf17f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<tr>\n",
       "<td>\n",
       "<img src=\"data:image/png;base64,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\"></img>\n",
       "</td>\n",
       "<td style=\"text-align: center; vertical-align: top;\">\n",
       "\n",
       "<table>\n",
       "<tr><td>shape</td><td>(200,&nbsp;200)</td></tr>\n",
       "<tr><td>dtype</td><td>uint32</td></tr>\n",
       "<tr><td>size</td><td>156.2 kB</td></tr>\n",
       "<tr><td>min</td><td>0</td></tr><tr><td>max</td><td>4</td></tr>\n",
       "</table>\n",
       "\n",
       "</td>\n",
       "</tr>\n",
       "</table>"
      ],
      "text/plain": [
       "StackViewNDArray([[0, 0, 0, ..., 0, 0, 0],\n",
       "                  [0, 0, 0, ..., 0, 0, 0],\n",
       "                  [0, 0, 0, ..., 0, 0, 0],\n",
       "                  ...,\n",
       "                  [0, 0, 0, ..., 0, 0, 0],\n",
       "                  [0, 0, 0, ..., 0, 0, 0],\n",
       "                  [0, 0, 0, ..., 0, 0, 0]], dtype=uint32)"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stackview.insight(sparse_label_annotation)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "51dfa64f-816c-4c46-8e38-0a4fa2adfbc7",
   "metadata": {},
   "source": [
    "You can also create a sparse semantic annotation, e.g. by annotating some pixels within nuclei and some pixels within the background."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "1a6fc019-8145-4016-a566-afd09c1262c8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "365e1f4fbc9749e9a988e245f9b6f4f0",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "VBox(children=(HBox(children=(HBox(children=(VBox(children=(ImageWidget(height=200, width=200),)),)), VBox(chi…"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sparse_semantic_annotation = np.zeros_like(cropped_image, dtype=np.uint32)\n",
    "stackview.annotate(cropped_image, sparse_semantic_annotation)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "157f0116-afc8-48fa-928f-841d7b57a13d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<tr>\n",
       "<td>\n",
       "<img src=\"data:image/png;base64,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\"></img>\n",
       "</td>\n",
       "<td style=\"text-align: center; vertical-align: top;\">\n",
       "\n",
       "<table>\n",
       "<tr><td>shape</td><td>(200,&nbsp;200)</td></tr>\n",
       "<tr><td>dtype</td><td>uint32</td></tr>\n",
       "<tr><td>size</td><td>156.2 kB</td></tr>\n",
       "<tr><td>min</td><td>0</td></tr><tr><td>max</td><td>3</td></tr>\n",
       "</table>\n",
       "\n",
       "</td>\n",
       "</tr>\n",
       "</table>"
      ],
      "text/plain": [
       "StackViewNDArray([[0, 0, 0, ..., 0, 0, 0],\n",
       "                  [0, 0, 0, ..., 0, 0, 0],\n",
       "                  [0, 0, 0, ..., 0, 0, 0],\n",
       "                  ...,\n",
       "                  [0, 0, 0, ..., 0, 0, 0],\n",
       "                  [0, 0, 0, ..., 0, 0, 0],\n",
       "                  [0, 0, 0, ..., 0, 0, 0]], dtype=uint32)"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stackview.insight(sparse_semantic_annotation)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "eebacd6e-c161-4924-9f3a-288eca0bfc30",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "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": "3.9.15"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}