diff --git a/environment-examples.yml b/environment-examples.yml index a49e4dbf..aba31382 100644 --- a/environment-examples.yml +++ b/environment-examples.yml @@ -37,3 +37,4 @@ dependencies: - trame-vuetify - ipywidgets - vtk>=9.4.2 + - SimpleITK diff --git a/example_requirements.txt b/example_requirements.txt index 8aae3237..97370b3a 100644 --- a/example_requirements.txt +++ b/example_requirements.txt @@ -29,3 +29,5 @@ ipywidgets trame trame-vtk trame-vuetify +SimpleITK +mahotas diff --git a/examples/Basics/Example_Subsegmentation_Methods.ipynb b/examples/Basics/Example_Subsegmentation_Methods.ipynb new file mode 100644 index 00000000..51397e93 --- /dev/null +++ b/examples/Basics/Example_Subsegmentation_Methods.ipynb @@ -0,0 +1,566 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "a31569b0", + "metadata": {}, + "source": [ + "# Methods and Parameters for Feature Detection: Subsegmentation\n", + "\n", + "## Overview\n", + "\n", + "In this example, we will explore tobac's feature detection methods with a focus on the **subsegmentation** approach for identifying complex atmospheric features. We will compare different feature detection methods to understand when and why to use each one.\n", + "\n", + "\n", + "The **subsegmentation** method is particularly useful in situations where objects start to be interconnected via filament or bridge-like connections. Subsegmentation breaks these interconnection up with the need to define multiple thresholds." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "fef91b75", + "metadata": { + "execution": { + "iopub.execute_input": "2026-03-01T12:29:15.117830Z", + "iopub.status.busy": "2026-03-01T12:29:15.117367Z", + "iopub.status.idle": "2026-03-01T12:29:17.906369Z", + "shell.execute_reply": "2026-03-01T12:29:17.904302Z" + } + }, + "outputs": [], + "source": [ + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "import xarray as xr\n", + "import datetime\n", + "\n", + "%matplotlib inline\n", + "\n", + "import seaborn as sns\n", + "sns.set_context(\"talk\")\n", + "\n", + "import scipy.ndimage\n", + "import warnings\n", + "warnings.filterwarnings(\"ignore\")" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "c46918cf", + "metadata": { + "execution": { + "iopub.execute_input": "2026-03-01T12:29:17.910924Z", + "iopub.status.busy": "2026-03-01T12:29:17.910321Z", + "iopub.status.idle": "2026-03-01T12:29:19.267128Z", + "shell.execute_reply": "2026-03-01T12:29:19.265692Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "mahotas package not available - do not use mahotas options\n" + ] + } + ], + "source": [ + "import tobac" + ] + }, + { + "cell_type": "markdown", + "id": "53eef5dc", + "metadata": {}, + "source": [ + "## Creating Synthetic Test Data\n", + "\n", + "We will create a synthetic 2D field that mimics atmospheric data with multiple features at different scales and intensities. This type of complex field is where subsegmentation methods excel compared to simple thresholding.\n", + "\n", + "The data will contain:\n", + "- Multiple features with varying intensities\n", + "- Background noise typical of atmospheric data\n", + "- Complex spatial structures that challenge simple threshold methods" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "7fa5abb7", + "metadata": { + "execution": { + "iopub.execute_input": "2026-03-01T12:29:19.272425Z", + "iopub.status.busy": "2026-03-01T12:29:19.271772Z", + "iopub.status.idle": "2026-03-01T12:29:19.316156Z", + "shell.execute_reply": "2026-03-01T12:29:19.314562Z" + } + }, + "outputs": [], + "source": [ + "# Set random seed for reproducibility\n", + "np.random.seed(48)\n", + "\n", + "# Create synthetic data resembling atmospheric fields\n", + "nx, ny = 300, 300\n", + "x = np.linspace(0, 100, nx)\n", + "y = np.linspace(0, 100, ny)\n", + "X, Y = np.meshgrid(x, y)\n", + "\n", + "# Generate base random field with spatial correlation (like atmospheric turbulence)\n", + "rand = np.random.randn(1, ny, nx)\n", + "rand_sm = scipy.ndimage.gaussian_filter(rand, sigma=3)\n", + "\n", + "# Add some structured features at different scales\n", + "# Large-scale feature\n", + "large_feature = 2.0 * np.exp(-((X-30)**2 + (Y-40)**2) / (15**2))\n", + "# Medium-scale features\n", + "medium_feature1 = 1.4 * np.exp(-((X-32)**2 + (Y-70)**2) / (8**2))\n", + "medium_feature2 = 1.2 * np.exp(-((X-15)**2 + (Y-76)**2) / (6**2))\n", + "# Small-scale features\n", + "small_feature1 = 0.8 * np.exp(-((X-80)**2 + (Y-20)**2) / (4**2))\n", + "small_feature2 = 0.9 * np.exp(-((X-60)**2 + (Y-30)**2) / (3**2))\n", + "\n", + "# Combine all features with the noisy background\n", + "synthetic_field = (rand_sm[0] + large_feature + medium_feature1 + \n", + " medium_feature2 + small_feature1 + small_feature2)\n", + "\n", + "# Create xarray DataArray\n", + "darray = xr.DataArray(\n", + " synthetic_field[np.newaxis, :, :],\n", + " dims=(\"time\", \"y\", \"x\"),\n", + " coords={\n", + " \"y\": y,\n", + " \"x\": x,\n", + " 'time': [datetime.datetime(2022, 2, 22)],\n", + " },\n", + " attrs={\n", + " 'units': 'arbitrary_units',\n", + " 'long_name': 'Synthetic atmospheric field',\n", + " 'description': 'Multi-scale features with realistic noise'\n", + " }\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "2b0bfda4", + "metadata": { + "execution": { + "iopub.execute_input": "2026-03-01T12:29:19.320636Z", + "iopub.status.busy": "2026-03-01T12:29:19.320282Z", + "iopub.status.idle": "2026-03-01T12:29:20.152013Z", + "shell.execute_reply": "2026-03-01T12:29:20.150352Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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yxbDLTD8ukbUbKs0e0N+i7U3S3NAPq7JpWSEjafdY9Ac5pnYbvf5LCUhzdaxXSqKYk2umlHQ3FJlcW7l7Twl/nSRHptdTOsPBHsrEJJTVlpEIanvv0eug1ANzp6Gd7WDWS2clDEmoata1yW9L98rUJqUNZTeVNDeVSSaiftrskGjmidx/dcHKgFkXc8FsPcPnNjR8gKf43r17/eeDDz54s6sDAAAAADDfEBi+5UEMn1tGeVG1EcFLYkrViIBB7KpEVGrW8b9NgnChNhkpsQ9v/8O9CubqWd6xeFijX7LUwU79tx69tUFEI+BYn3AxgVER3AqMvjI5JSe1trAlyc86oFDw9i7YGXTo80vXd+uXPp5EgwJKnyd6WMfYqnhP61KV3GzICeElWs/idoCmbL8i9hSt4LeuBBXpoIwRv/KicGKTkhC26QzqWDE1T/YwimJ9jyWSH9gyHvO2zpH10GjKQEFStvUflzLVWsMVPPgz9Ur3EQv3qRo9XvM9wjh8dEiXqzgu9412ELAKAnjnMPTdW7RMs/9py9CBnqL1VPDUNi26Vk/55hhWY1UU1omslZqqmXbK7qswoGD9+EfNtVX3435LmLnApw1YfJuUafzd3/2du//++93S0pI799xzN7s6AAAAAABzDVr41gcxHAAAAGBGfPnLX3ZnnXXW4PVf9rKXuZe//OWb0v4/+tGP3Gte8xr/+aUvfak78sgjN6UeAAAAAAAA+wvE8HkeapKISjvqNCS6TiLHRyYqc+juQlSrjfQdTY04rLfrSahn676OKfKD4wpzFhieQuRsWJbYZIzENKBJimmPPT0OU9Y064fI5qaz/3omQGdxwYagkyA0RPPKxzZCuWQv4aNANULWjbxFwrTznusj9frmEEsBwxlbGy2zLzpcj7sYSVywAal/KySo1KKSWQxTz58WkVsvWZazFWkulXbfJvI7m1i1NxnlSrAi8aXbKPG+NgkHUb6irBVL6FdRUlFjQ1SYNeHSOuWixJPtS9HDaZ+yUdelSOY0MjzMdjFWINLvSv1VF6d9PdgUJT5FbXLKerZKtk8nbWNNS9rI+TYaP6pPoW9K3xKTo1xCTKlELhFmHbk+/frrw85QCUeyYvqxRFvnkifPWYS4b7sZRoar4dQDDzzgbr755sHb3X333W6z7FFe9KIX+eSau3btcm95y1s2pR4AAAAAAFuJdc1ch7kAMXxuEUVlUiuNqxEQRCDrsyWI99BrN6A+tIL92XpXiyg7nozaGfF++v/qxIVWCBy31hiuikqprVHM90jMUYVquTg1P9S/ICoNtTzpm+6/aisAKzp2RLfueevaEGRscnz7t+fe2lsU6+3FNGMg35D2CRUGZyFnRYL4DMpbi5eKtSEqCuFGfI8Ey2QAQ9pPT2Gvv3Ukejd2Nn2DJFZgtNvLNR4W73POWvqsZtCpt67LbiQDazkLlNx1ZgcqtD66vNdHfXU9KhJvM3YfkS1KRhS3lil6Z4hs6a03uLFrsrvzorNZZi2AVBDX9dprWfqorinHbOyW0gGf1dyTbH1W2oHJZigv2w7h/tnj358OhNltdH+RH78MkEzLF7FNOOigg9ypp546eP1jjjmm+NsrXvEKd/nll6+6Dk9+8pPdxz72seLvcn4lIv3qq692hx9+uPvQhz4UkmgCAAAAAAAsMojhAAAAsA3ZmASaIoTfdNNNMylRBOqjjjpq1dsdccQRvb+/6lWvcn/+53/uDjvsMPeRj3zE/dRP/dQ6agkAAAAAsD2QDGhtFrTZlAf7H8TwOcZHro5MQjt5b6wR3HIcARpPs2/tDeIo8WERoxpFaCMk00SJ+lUiBCWCXIserymiN/9TsCQIVh7tco28jKb8Z+0kcokSTXRmIfoyREonQcdinTIakhjO2rWUfk/Oh42Qt5GiYX8SJRzsKVLrlibC1VrkeHuKQoJAG/U5bqOa6xD89rdl3fVAC5TQTgMTydmo1Fw0/KwI15C8qadEVRUsT9IkjzbGNrb/0H4i10DukKMg5qoy5zi18cltLNe7CQZPIsRtXlxvjZSzeylYktgI3miXdjaFj/S2v5pZCX11ttunmHrn9p+td/qT+RwlkjWVTWc62MjonGVKVCWTlDI9pyEC3Ed8t/WJZ6rk6+rrZCL4s7MS/P26/zqo+1Eb0W6v38mkTaAbHdOAKPHujkbRTCBdTe75Yf8+Grzbp9eTPBlixLpk1vYl4hH+zne+0x188ME+Mvzss8+m2QEAAAAAYNuAGD7PBGFbPYBbkbuaLLVewo01Sv15qfboFYuVRLBLUSFJxBMVRFT8zFljWI0lxNKZafltHdcoaopA1NRbDlmn7IufdSyAtb95MWia8rpK6wi1vIhEpWDD26rvkR9vTmjUY5omCgXhKBFdUxuCxJ6iU0Zdw1a18sJjctw5j2Y/6NJaf6zkfMkNkR2F8V1ORfG+02LPX+SpbataTRG2/XmNN5o28OOLtNsPIBUrVUCV/hGuDzlNKhCaOsmgTfi60uMTbknrbtxJivkDhlhSWJsTu7jg6VwUNDu++Rmf8I4Ib78nkbiRR/losIe79dAXJskAVr1SfW508Cz1AM/lQvDn0nyeZhVSe4Tn+3BKuBfbnASmvv6e03ypSsK/HLcdzFpZjtcrDWyEQZxMO2XQ+5+1fKnLrWLPeGvdtI5Bjk1Bmnt5hpHhAwcBN5PXv/717m1ve5s78MAD3Qc/+EF33nnnbXaVAAAAAAC2FHiGb30Qw+cUL8g2kYSjnJAnYsS4EK062RG+e+HOCC02kjIXQeiFPCPwqaQhgei5ZIoqlMSV74mGTupbQhPD6THY/dgoxfp4qiiSvvklSlAXdjtAZFMhvKRrhKhIKxYWptoPTh7XiRJfpaoywCO+JMC2LSjFTNqBESvs9tRHV0lbVUV1/c0K4Lnt7TGnAzjhJy8Ehsp2+1TGwzvaVzPY0onyL5DOEJB+saxiZSGCWMq0ntLt8gE+4WnftMcos0SWaxGyV3MN60+y/uh2nU49Sp8T7/LoGpKBuaTunYGGAQMP0ayNdGCksI2dpdEubJ3yNWo63Ov8fcUclh23MiJ0LoeCve/smMg9aRTuNKOVvW09ktk42oeinLepKF+oj03MGRLK2ol0ek3nZqIk13ibDHU01Zdc6mwHF/zPNhpc73dDvMGzswVGC22TMq+8+c1vdm9605vczp073d/8zd+4888/f7OrBAAAAAAAsN+ZszAtAAAAAJglf/Inf+J+//d/3y0tLbm/+qu/cs961rNoYAAAAAAA2JYQGT6v6Gx54zPrY+kav+NOdLNGH3qblIn3MK6LiSPVNKp1LXF5Nu5vUqx3T0RozsIi8taIj0kjEzWWM+cp7QPZm6MRSxBvEaORqRqwWKyjN8ju7Ns3uWu9d1O7gqgcaxFQinwvRQBHPu8yEyDvWR7ZsYTl+fMfRaUmdR1sezGFyBXHt5V+jltpnMwk0O3kvf08vSemMxpCVGtyXqokCteev7DpagM3zQwBuaSsN7i1RtFj1OMLy9cwf6p7bXdtXSrf94Z7MsdR4T0zN5Jo8Gj7jMWOv95K/XuVthl+hkKmH9ooavWvDsUayyIbodxa6dS5FnLb1OkK2j6iFlHWAzyNEA9WIWbuyWh5TzwzZCQR3aZ9mgj9dLZJLio9Xa778IZHheOOGGC/U98jzcwAY59j2y29h0XlDvEGL+a0MCH2m413oVp8m5R/+qd/chdffLH/LAkzxSZFXjkuuugi/wIAAAAAgDzYpGx9EMPnnCCIC5p8rUfoENFkZUWsHHT7+OncCnZhWbLPkn+4lanShHHBMzfxRS5ibQSa4yp5m+csJ5TY1nvU2mD4JJTGUmaKHYa3T9HP3ndb/t/db22J0CaxzAlE5Z3kRc5aMBtnrW18k2TF37zwbr2BQ72mYe1FCs00ztie1PWLRTqLTU5oLSZkm9IZLYnZYRCnsoJka4WjdhTtIFCc/NUK9cX6Zo49tULxgniwSUkGBQoCeGTFspqkgkl/qfXJ5h5QsElatSdzZLGx+oSH9XUzHl6u3B9sjgNT5z77olwCTBGyg5VHIr732RMF2ykvkptrLuTVbe+fue2CX3mwRjH3gWBnVRwuHCyEl5J9ynHrvUmEft8vjO96ZA9ll0f3BdNXC3kEOoMZQxIHh4KSxM32PLW1g/3Enj17Qj/7/ve/7z71qU8V133qU5/KeQEAAAAAgIUGMRwAAAC2HRKrP8vI8HKmic1l165d2WSxAAAAAACwesrhfbBVQAyfWyQiNc7OZ60iokSAURRtHcmqEbJm82hqfzrtvk1I2UaE13YPTRmSwM1c8FoVSWy5NB65cdUICivLUxOq+YjBpv7e1iWTYM7uo5Mkz9hh+F1aOxNTxkTbyEQ5hqhu3WHYqYl2bCKlJeoypY4yz0SDl+xhStHgNoJ7PPHtoO1rbSF8BGiwi4mjPvuS30XtVrIzMHXRbWRWQS5C2keAa3R2EmVd+mcgTa6qEd3RTALZXs9fck5zSQV9/2wW+PJMBK61MFlOj0OTDyb9uBSdm7OzkHVsxHBq2WEThLYzMGx60oGUbIQkdDnpo1mbmyh5Yz6p5dTIXr8706dWYruWYhR3qdySpUshgtj2SXtjsFH+lQ1wNtdDNio8myy4bbexv/50uSRpbfvLupDjSGYW6HHkqBNldpf7vhYSBbcWTpIgNLKH8ve3dibJVGuqEp37WU8fzvSF6P5WStgJAAAAAAAAsAkghm8hrEhq9bVUuLOioMWKMalQaQminhGeakuC+vexETZ3TEZuSbSO5X2tGBNsRBIrj4xIZ60tUoIFQlqWF//MYIA59uh4VTQVccsMHrRimZ36H7Vi7KXb2b/1xxgg7uS8c6U+xiZFBFq134gsFKTdVbz19iJdUcmKyLUPcru86JFt7Gn8vpudWhE53dRa7NjBk/T3kj2PruvPRzrQYerfJxzaQZycPqfbpIL2EE1TtxXBW/e5YvaTHyRoj0mvD7k29LP/XYXgxJ85LqhHLDSDQUHwtWX4AaW8oJzF+NNHwnFh4Kb+nNiATBns6RyfCut6H4gsgjJ5A3quq5wfu+3rcmy9dh9tpSK7IR2g0etwGqENRyvhWtJ6WesnGWDq85hPMeY/ZWFcraxWKt/fwn1hvGTOaWzVkusPnUGyvmO3VjDFvpUR3dMBj3nCe4avzLQ8AAAAAABYYNp4xZmVB/sfxHAAAADYhszWJgU1HAAAAABgsfEzwWdcHux/EMPnFomA7dpmVKtIxra2vZpoXzNnX+oSkrk11iiCvI/2PeRGy00yueU9IRI2slOYJBGDJmFjNcMbQhpF3CwNUaPeOkWSawbLk0YIiaIjNaI0I5IkEa+5iMeSBUVsHZBEZttEjckxSFS+WqZIktAUjTxV2uR6JuI4tVYZjUP7yL5DZLi33MlWv02amiRQTX9vd95NOqg/pRHh9XG3fd1G0UY2KXIk5rqw1kHrwUaSWzuUqB6hDjUSkTs2x66zJSQqPCT5TJIrhmOV6OXkexZ/gRTsTUqWO9EMjLYeUWJFvSB67FZKdepLTpnWrfNdo4SNhVHuGpJ6Jy5RbVGlc26OIxv53kcy28Ri73u2T2ryzXq/caLKqjm+0iydktVQbW2i/TuOEg9VlXuFa/uaTbLsLVMKs0ai/UfWUhkrmdyMgSFWK6X+M28R4QAAAAAAALBtQQyfU0T2FCFExAy1C7Fiof++6jJbwTK2uoiFDd3H2GwgAkxsA9FYZizvrYXwvQ92PbkHiiBWCCrVabVlap0FETaD+NTYCmg53je43mOPnULP/jP1FGOTot1AxhNZfbpjoc2W54JoHYlmBcL5S/3GzT5lFbWDEMEuJ/7W1Z0uNluRvF1mBHkV38LAg20P6w2d9+oui4it3Uo43tZgP3scqQe03UewWIksU6ruqcxYw3gB3FwfoybaNLKhSC1hhlhHVMbLPhEoS5Y79hzrQIlvKxWgrVuLLTdYmGRsS8x6VTOY1KlfCSuQNrYowVYk8f/POhGZ82ZtcqKxl2TQoDvokA5lJHWTwaFVDCR6v3KttxxLem4y/apsNVS+/6roPW2QM/ycWCbp5ZAOHOmnzrkrDm60A5iDbVLCupnzO9N5heuByHAAAAAAAFgl8/I4A2uGcC0AAAAAAAAAAAAAWHiIDJ9bKjda3uNGJgJUPo9CpHYSQWitJJLvdnmwb8hE74b1zDCXWnT4BHWuG/nqJCpc6qkR4dZ/1SSyqyMpu1GmEq0aYjfXaHsRubqYSMqOvYZUV35vfliKLCJiSxQbMdmZ7j8tMVwpmjddr4dgzeDaqO2+BJXRLjQy2NjDBMudpmD5f84apRQVbiNZ+yJcbSR4bUOTSc5nbXL890k4/7l66H7CvkMdZCZCe95qV5i6rHHB7sX2rzQSWPeZRs1XhaSu8jGaLaHX1spyez0UZwgUIrB9JHmbMDOOLE+SupYsd0zCxnBsJasg/2Ncj2LEul6zUdLF2Mij97ppGs1HrzfnKY1eH3KN2/4W9j7UDiUqdH3D+aE7T1kvnY2g21grnei3ZrmcRxsRr/3TJqMN29iZJCYaPCyLIs6TjbXcZFZPev5sUlC76dwEea+Buv/NzjN8nS5lAAAAAACwBWjVMdiqIIYP4Prrr3dve9vb3A033OB+/OMfu+OOO8698IUvdK997WvdIYccsjFnRsTE5b31NP+MHUIqjOt8eBVNIvFwgHBpiUTPjJLjxb7GI1wElNHyvlZQKYlhaRlB4Guld9lXVJdg4mxsHNJyRi4R0+vlKiDnxOVgI2FE2doupes5bBoi7DCIQuLPnBGexqNJ6yfcI4zrscq5ELFShXypY7DsMJYpKnLapun1A/YuKY2wFoRe48mdtE1OAA/LTfnpchXXvDCpfvEirEk/yRx7bZURlNnsMfT5lodBnIzoHL6Pxu05aL43K0a2LKFOxkijtooxy41ndFQX89kL8bYOqaDd8Yw3ViG2frJ+OCYVx/M2KaHuBf/3SAw3faESqyBtw8mOzvVvbVZK94gS2WveCP/1uR9nr5uOlYe6kCR/aMTWO0agn1YP3XiVimXWlsUK0Glx1Uroe3JPiyxfbN3VSseK0KaPyKCFnktfh4zNSWoVVCId/PT3bCG6hvL9S/uq9jEZvAiuLOb4h9QlXCNzoxpXrlomgSYALNgzBAAAAGwoWzkgCGqwSZnCO97xDnf++ee7//t//6878MAD3amnnuruuusu9wd/8Afu7LPPdt/73vemFQEAAAAAANsIniEAAABgswflf+EXfsH9xE/8hDvooIPcKaec4i655BJ33333zVWZmwFieA833XSTu/jii/3nyy+/3H3jG99wN998s/va177mzjrrLPflL3/Z/dZv/dYGnRqJHNxXR143L7EkGenLL5OovmUfkSuRnvLy0d8+Qq99pdGBai+g29t9pC9JkOmTZMp+wufG/iKNWjURsHUU7Mh8tjYiTURnEwVr9xWONS0/ifT0NhzBNqCJEG+sXOogyrotchYFthpt0sCxKaiJwJf35KUWD1UTtbm3ee0zL/kuUZQ+kjIbnRxHsvrdhqjnepn9LMGhGsmtL/nuE18mL7/cvLROYZ1muZaRRmB7K53m5a0c9HtjAxJezXKNBq0tS2SWgOmj+x6sE6vKa9+e8BL7n3D+bcR4E7ke7EoKEfBhf7KtRNdqHxa7nrDvh9qXX2b2G/WBen8aDa4WKbVlS2y10+6/va70PPmo29BnTf/u2OTUlbf9aGU0Cf2lXrYUIqjrSlpbklxDjKP62v5i+0LUVySCvIki133rS9fRa6QTxBuOMU5aKcdqXzn6km2mUeF6jcu9yr6i+5a1kjGvafVoD67dJtwbwzlt7iWRNU98T9X2CPvT+1nT3/w9s1puX3oPNX1V+7B/mXugHGN7vbX3Nn+vb5b79qiSl7kfZruL7CfTZtl7bmOPIrMFQp8xfSydgdOe50y9bHvPC75KyzN7rTqrNQAsLJv7DAEAAAAbyWiGr600KP+OBQoWRgzv4Y1vfKNbWVlxv/7rv+5e9rKXBRHkUY96lLvqqqvceDx2f/u3f+u++MUvzv7MeCVLrCbaVySMGxHbizEqdOTsHIxgp4KSFaK9OGEFmcwrEm28sJEITUY4scKxmzSvjv9wI6al+7IieZ/3tu42EYGsoKXCVSRuFeazBMFeX0aUtC8RLq3wHcRmIzqKuKrCUWUHBDo7bYWhVMhPu4IVr2vhVkRM13m1glUilDd1s2XY/hFEbyN875h0xe/6NcoOqtT9pBGd5X1fIk7b/mrtQzKCq/2a6ktWWAvl6HXS7NvvX19qW9L0W1tu1J7hc16IV6cK25ey4qgRhssCY9uP9iaDKiqSW2/1XJ/J4cV9c2wq9i8nfXXvcuVfdv+hz5pj1/tKdL+wA2j2HCTHGi834rm5X7XXaz2oYgXv3IBZWQA3oxl9JAK47Re670hsNuc7ftWWTvUrvn/aASGXDsxErwfrV9pXtRx/nO29LRLAk4HMUr+I2tfW114PAwZbdKDN9qnU11+F9t4B1mkDFAAAC8KmPkMAAADAtmYjBuVvWrCBfsTwAuLr9+EPf9h/lj9iUx73uMe5pzzlKf7z+9///o08RwAAADBzqtlGhhMaDgA8QwAAACw+cx4avhGD8m9csIF+xPACn//8591DDz3kDjjgAPeEJzwhu87P/uzP+vfPfOYzG3eGJCFhzgYgiXYNlgIDnfxtdGAU6Vl4ZafRN/ioZ7USCRYQTUS4jxSXafYm6jraOCnXRJ8XrSYK21uLgL5WaCOwk6KaCO42EnzSWlmohYSNuLZ2ASvl5SEauJDUT+ut2KjjzuGqrUe0LP/y9TAR42kkp7WC0M9xFPjILY3rlyxfGjn/8hG0je1DZI1iZzGEqPBuxKsm2UxJo9ZzNi6jnihfSQpoXyX7h9DtTQS4RvSX2kijgb1dRYhqtlHiJhK6hPavJtJWo7P3mJftR22yzea6se02ILrWzh6wMxesrU9qn9Jpb40mTiKW2+vVzF5Jl2ciu8P9SiOIte0aW5TI5sREomdffdHgA+w40n0EuyaJvFZLEknq2zMDINqX3pfNDIUQ/d28wswFuT7My88CamYCtbMd7H1ZI67je3XaxuE+aO+FzTXba4li+mi4V4XPkuA3thSy12aIPLeR6oUZP+0+8RMBgMVlbp4hAAAAYNuxEYG9P17AYOGlza7AvHLbbbf598c85jFux44d2XVOOOEE/37rrbduXEXGPeMVwUKk8SsWRpN6kRGIvHd14/+c8/gO4lau/EaQG5nPkajrhfBxu3nzXT+HdUUoD+Um0+sz+67X0HJ6jt1s7y3Am21EnKkNH9rjr5d3vXRDvbXo5netpngxa42tYKiWAfU+2pElu7y2SanLqw0Oymi9ZH+2viVfXtuMOW9rv70eXsY6RxepCF7X0Xz2inG3neudaz9qhFJfiUaE9p9FBGvEOr/xOLK8qXosPvqOp7vRSjxoZNG6j4w1SuOvrftTb2wv7oV9J/1T33XAIJzPnjqlFkLJ5+WV9ryKKB3Oz0ottgtL3jd8b7uf9F5QsAQJ/TPqw3a7+pbhl6/UtiDNYjeR/+vxjUwbWosZe17T48u1gfyu9xq9TsPFYr6ktkha+ZKoXRhcytbFfM5ZL0kfDk00GrtJc7+S/tGXdyBsYsuUwZjctdKpV3tSRk0freSf5LFtg0xfS9tG8x009SgPumXOZbSCGaw0924dONI+VN9na3QgyG/ir8Emj4PeE/Tfi+C7M2fj73LP8RHdsysPAGBuniEAAABgQ6hNbrf2oPw111wzeFB+I8rcbBDDC6jx+xFHHFFsPP3t+9//fm8ji5/OFVdcMeiEiM8OAAAAbCw+4n2GYjhSOAAIPEMAAAAsLjmXgfWWN++D8rct4EA/YniBBx980L/v3Lmz2HgyKiI88MADvY189913e2P51fCV22935zz1WVMuFQ3Jaz/XE/zbCNt4S/lPfyklm6vWcIn2bDPtLuE3zde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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Visualize the synthetic field\n", + "fig, axes = plt.subplots(1, 2, figsize=(16, 6))\n", + "\n", + "# Raw field\n", + "im1 = darray[0].plot(ax=axes[0], cmap='RdBu_r', add_colorbar=False)\n", + "axes[0].set_title('Synthetic Atmospheric Field\\n(Raw Data)', fontsize=14, fontweight='bold')\n", + "axes[0].set_aspect('equal')\n", + "plt.colorbar(im1, ax=axes[0], label='Field Intensity')\n", + "\n", + "# Thresholded field to show potential features\n", + "threshold = 0.5\n", + "im2 = (darray[0] > threshold).plot(ax=axes[1], cmap='Blues', add_colorbar=False)\n", + "axes[1].set_title(f'Simple Threshold (> {threshold})\\n(Potential Features)', fontsize=14, fontweight='bold')\n", + "axes[1].set_aspect('equal')\n", + "plt.colorbar(im2, ax=axes[1], label='Above Threshold')\n", + "\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "2cbfe933", + "metadata": {}, + "source": [ + "## Standard Feature Detection Method\n", + "\n", + "Let's start by using tobac's standard feature detection methods. These methods identify features by finding connected regions above a threshold and detecting local maxima within those regions.\n", + "\n", + "### Method 1: Single Threshold Labeling\n", + "\n", + "This is the classic approach where features are identified as local maxima within regions above a single threshold. " + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "17c9d23b", + "metadata": { + "execution": { + "iopub.execute_input": "2026-03-01T12:29:20.156112Z", + "iopub.status.busy": "2026-03-01T12:29:20.155784Z", + "iopub.status.idle": "2026-03-01T12:29:20.217069Z", + "shell.execute_reply": "2026-03-01T12:29:20.215507Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "... using connected components for feature detection\n", + "Standard method detected 7 features\n", + "\n", + "Feature summary:\n", + " threshold_value x y num\n", + "0 0.5 80.09 19.95 209\n", + "1 0.5 43.31 21.40 6\n", + "2 0.5 29.19 48.71 12047\n", + "3 0.5 43.13 25.95 45\n", + "4 0.5 59.73 30.23 148\n", + "5 0.5 10.98 29.40 12\n", + "6 0.5 39.31 57.79 24\n" + ] + } + ], + "source": [ + "# Standard feature detection with multiple thresholds\n", + "labels_standard, features_standard = tobac.feature_detection_multithreshold(\n", + " darray,\n", + " dxy=1.0, # Grid spacing in km (arbitrary units for this example)\n", + " threshold=0.5, # Multiple thresholds for feature hierarchy\n", + " min_num=21,\n", + " target='maximum', # Look for local maxima\n", + " return_labels = True,\n", + ")\n", + "\n", + "print(f\"Standard method detected {len(features_standard)} features\")\n", + "print(\"\\nFeature summary:\")\n", + "print(features_standard[['threshold_value', 'x', 'y', 'num']].round(2))" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "f0e9d298", + "metadata": { + "execution": { + "iopub.execute_input": "2026-03-01T12:29:20.222203Z", + "iopub.status.busy": "2026-03-01T12:29:20.221683Z", + "iopub.status.idle": "2026-03-01T12:29:20.920001Z", + "shell.execute_reply": "2026-03-01T12:29:20.918640Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Visualize the labeled features\n", + "fig, axes = plt.subplots(1, 2, figsize=(16, 6))\n", + "\n", + "# Raw field with detected features overlaid\n", + "im1 = darray[0].plot(ax=axes[0], cmap='RdBu_r', add_colorbar=False)\n", + "for _, feature in features_standard.iterrows():\n", + " axes[0].scatter(feature['x'], feature['y'], \n", + " s=200, c='red', marker='x', linewidth=3)\n", + " axes[0].text(feature['x']+3, feature['y']+3, \n", + " f\"{int(feature['feature'])}\", \n", + " fontsize=10, fontweight='bold', color='white',\n", + " bbox=dict(boxstyle=\"round,pad=0.2\", facecolor='black', alpha=0.7))\n", + "axes[0].set_title('Standard Feature Detection\\n(Feature Locations)', fontsize=14, fontweight='bold')\n", + "axes[0].set_aspect('equal')\n", + "plt.colorbar(im1, ax=axes[0], label='Field Intensity')\n", + "\n", + "# Feature labels (segmented regions)\n", + "labels_masked = labels_standard.where(labels_standard > 0)\n", + "im2 = labels_masked[0].plot(ax=axes[1], cmap='tab20', add_colorbar=False)\n", + "axes[1].set_title('Feature Labels\\n(Segmented Regions)', fontsize=14, fontweight='bold')\n", + "axes[1].set_aspect('equal')\n", + "plt.colorbar(im2, ax=axes[1], label='Feature ID')\n", + "\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "f5f3da28", + "metadata": {}, + "source": [ + "### Method 2: Multiple Thresholds Labeling\n", + "\n", + "This is the classic approach where features are identified as local maxima within regions above multiple thresholds. " + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "fc2d5e09", + "metadata": { + "execution": { + "iopub.execute_input": "2026-03-01T12:29:20.924767Z", + "iopub.status.busy": "2026-03-01T12:29:20.924387Z", + "iopub.status.idle": "2026-03-01T12:29:20.987955Z", + "shell.execute_reply": "2026-03-01T12:29:20.986558Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "... using connected components for feature detection\n", + "... using connected components for feature detection\n", + "... using connected components for feature detection\n", + "Standard method detected 9 features\n", + "\n", + "Feature summary:\n", + " threshold_value x y num\n", + "0 0.5 43.31 21.40 6\n", + "1 0.5 43.13 25.95 45\n", + "2 0.5 10.98 29.40 12\n", + "3 0.5 39.31 57.79 24\n", + "4 0.7 80.36 19.95 80\n", + "5 0.7 59.74 30.25 67\n", + "6 1.0 30.04 40.04 4213\n", + "7 1.0 31.65 69.97 709\n", + "8 1.0 14.93 75.68 256\n" + ] + } + ], + "source": [ + "# Standard feature detection with multiple thresholds\n", + "labels_standard, features_standard = tobac.feature_detection_multithreshold(\n", + " darray,\n", + " dxy=1.0, # Grid spacing in km (arbitrary units for this example)\n", + " threshold=[0.5,0.7,1.0], # Multiple thresholds for feature hierarchy\n", + " min_num=21,\n", + " target='maximum', # Look for local maxima\n", + " return_labels = True,\n", + ")\n", + "\n", + "print(f\"Standard method detected {len(features_standard)} features\")\n", + "print(\"\\nFeature summary:\")\n", + "print(features_standard[['threshold_value', 'x', 'y', 'num']].round(2))" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "97eb0cfc", + "metadata": { + "execution": { + "iopub.execute_input": "2026-03-01T12:29:20.992506Z", + "iopub.status.busy": "2026-03-01T12:29:20.992126Z", + "iopub.status.idle": "2026-03-01T12:29:21.829072Z", + "shell.execute_reply": "2026-03-01T12:29:21.827042Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Visualize the labeled features\n", + "fig, axes = plt.subplots(1, 2, figsize=(16, 6))\n", + "\n", + "# Raw field with detected features overlaid\n", + "im1 = darray[0].plot(ax=axes[0], cmap='RdBu_r', add_colorbar=False)\n", + "for _, feature in features_standard.iterrows():\n", + " axes[0].scatter(feature['x'], feature['y'], \n", + " s=200, c='black', marker='x', linewidth=3)\n", + " axes[0].text(feature['x']+3, feature['y']+3, \n", + " f\"{int(feature['feature'])}\", \n", + " fontsize=10, fontweight='bold', color='white',\n", + " bbox=dict(boxstyle=\"round,pad=0.2\", facecolor='black', alpha=0.7))\n", + "axes[0].set_title('Standard Feature Detection\\n(Feature Locations)', fontsize=14, fontweight='bold')\n", + "axes[0].set_aspect('equal')\n", + "plt.colorbar(im1, ax=axes[0], label='Field Intensity')\n", + "\n", + "# Feature labels (segmented regions)\n", + "labels_masked = labels_standard.where(labels_standard > 0)\n", + "im2 = labels_masked[0].plot(ax=axes[1], cmap='tab20', add_colorbar=False)\n", + "axes[1].set_title('Feature Labels\\n(Segmented Regions)', fontsize=14, fontweight='bold')\n", + "axes[1].set_aspect('equal')\n", + "plt.colorbar(im2, ax=axes[1], label='Feature ID')\n", + "\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "a0d3edbb", + "metadata": {}, + "source": [ + "## Subsegmentation Method for Complex Features\n", + "\n", + "The **subsegmentation method** uses advanced image segmentation techniques to identify features in complex fields. Instead of simple thresholding, it employs:\n", + "\n", + "1. **Watershed segmentation**: Separates features that might be connected in threshold-based approaches\n", + "2. **Marker-based segmentation**: Uses sophisticated marker detection to identify feature centers\n", + "3. **Iterative shrinking**: Reduces markers to their most significant points\n" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "541362d1", + "metadata": { + "execution": { + "iopub.execute_input": "2026-03-01T12:29:21.833630Z", + "iopub.status.busy": "2026-03-01T12:29:21.833257Z", + "iopub.status.idle": "2026-03-01T12:29:22.089685Z", + "shell.execute_reply": "2026-03-01T12:29:22.088308Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "... using subsegmentation for feature detection\n", + "0 . Shrinking iteration\n", + "1 . Shrinking iteration\n", + "2 . Shrinking iteration\n", + "3 . Shrinking iteration\n", + "4 . Shrinking iteration\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Standard method detected 6 features\n", + "\n", + "Feature summary:\n", + " threshold_value x y num\n", + "0 0.5 30.20 40.24 8685\n", + "1 0.5 31.09 68.69 2377\n", + "2 0.5 15.51 75.67 965\n", + "3 0.5 80.10 19.96 208\n", + "4 0.5 59.73 30.24 147\n", + "5 0.5 43.14 25.92 44\n" + ] + } + ], + "source": [ + "# Standard feature detection with multiple thresholds\n", + "labels_subsegment, features_subsegment = tobac.feature_detection_multithreshold(\n", + " darray,\n", + " dxy=1.0, # Grid spacing in km (arbitrary units for this example)\n", + " threshold=0.5, # Multiple thresholds for feature hierarchy\n", + " min_num=21,\n", + " target='maximum', # Look for local maxima\n", + " return_labels = True,\n", + " # -------------------------------------\n", + " # special options for subsegmentation\n", + " # -------------------------------------\n", + " feature_detection_method = 'subsegmentation',\n", + " marker_method=\"iterative_shrinking\",\n", + " marker_shrinkage_Niter=5,\n", + " marker_shrinkage_dmin=0.2,\n", + ")\n", + "\n", + "print(f\"Standard method detected {len(features_subsegment)} features\")\n", + "print(\"\\nFeature summary:\")\n", + "print(features_subsegment[['threshold_value', 'x', 'y', 'num']].round(2))" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "dc010135", + "metadata": { + "execution": { + "iopub.execute_input": "2026-03-01T12:29:22.094644Z", + "iopub.status.busy": "2026-03-01T12:29:22.094264Z", + "iopub.status.idle": "2026-03-01T12:29:22.848514Z", + "shell.execute_reply": "2026-03-01T12:29:22.846347Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Visualize the labeled features\n", + "fig, axes = plt.subplots(1, 2, figsize=(16, 6))\n", + "\n", + "# Raw field with detected features overlaid\n", + "im1 = darray[0].plot(ax=axes[0], cmap='RdBu_r', add_colorbar=False)\n", + "for _, feature in features_subsegment.iterrows():\n", + " axes[0].scatter(feature['x'], feature['y'], \n", + " s=200, c='red', marker='x', linewidth=3)\n", + " axes[0].text(feature['x']+3, feature['y']+3, \n", + " f\"{int(feature['feature'])}\", \n", + " fontsize=10, fontweight='bold', color='white',\n", + " bbox=dict(boxstyle=\"round,pad=0.2\", facecolor='black', alpha=0.7))\n", + "axes[0].set_title('Standard Feature Detection\\n(Feature Locations)', fontsize=14, fontweight='bold')\n", + "axes[0].set_aspect('equal')\n", + "plt.colorbar(im1, ax=axes[0], label='Field Intensity')\n", + "\n", + "# Feature labels (segmented regions)\n", + "labels_masked = labels_subsegment.where(labels_subsegment > 0)\n", + "im2 = labels_masked[0].plot(ax=axes[1], cmap='tab20', add_colorbar=False)\n", + "axes[1].set_title('Feature Labels\\n(Segmented Regions)', fontsize=14, fontweight='bold')\n", + "axes[1].set_aspect('equal')\n", + "plt.colorbar(im2, ax=axes[1], label='Feature ID')\n", + "\n", + "plt.tight_layout()\n", + "plt.show()" + ] + } + ], + "metadata": { + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.12" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/pyproject.toml b/pyproject.toml index d424377a..26c87c8f 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -63,6 +63,12 @@ dev = [ "nbconvert", ] +# optional dependencies for advanced segmentation features +segmentation = [ + "SimpleITK", + "mahotas", +] + # required to run example notebooks examples = [ "jupyter", @@ -79,6 +85,7 @@ examples = [ "intake-xarray==0.7.0", "healpix", "easygems", + "SimpleITK", ] # All extras combined @@ -87,6 +94,8 @@ all = [ "black", "pytest", "nbconvert", + "SimpleITK", + "mahotas", "jupyter", "notebook", "pytables", diff --git a/tobac/feature_detection.py b/tobac/feature_detection.py index d5729ff2..31817b1e 100644 --- a/tobac/feature_detection.py +++ b/tobac/feature_detection.py @@ -36,6 +36,7 @@ from tobac.utils import periodic_boundaries as pbc_utils from tobac.utils.general import spectral_filtering from tobac.utils.generators import field_and_features_over_time +from tobac.segmentation import subsegmentation def feature_position( @@ -478,6 +479,10 @@ def feature_detection_threshold( from skimage.morphology import binary_erosion from copy import deepcopy + feature_detection_method = kwargs.get( + "feature_detection_method", "connected_components" + ) + if min_num != 0: warnings.warn( "min_num parameter has no effect and will be deprecated in a future version of tobac. " @@ -501,18 +506,43 @@ def feature_detection_threshold( # if looking for minima, set values above threshold to 0 and scale by data minimum: elif target == "minimum": mask = data_i <= threshold - # only include values greater than threshold - # erode selected regions by n pixels - if n_erosion_threshold > 0: - if is_3D: - selem = np.ones( - (n_erosion_threshold, n_erosion_threshold, n_erosion_threshold) - ) + + # selecting feature detection implementations + # =========================================== + if feature_detection_method == "connected_components": + print("... using connected components for feature detection") + + # only include values greater than threshold + # erode selected regions by n pixels + if n_erosion_threshold > 0: + if is_3D: + selem = np.ones( + (n_erosion_threshold, n_erosion_threshold, n_erosion_threshold) + ) + else: + selem = np.ones((n_erosion_threshold, n_erosion_threshold)) + mask = binary_erosion(mask, selem) + # detect individual regions, label and count the number of pixels included: + + labels, num_labels = label(mask, background=0, return_num=True) + + elif feature_detection_method == "subsegmentation": + print("... using subsegmentation for feature detection") + + # we keep data and just turn sign for minimum criterium + if target == "minimum": + data_for_detection = -data_i + threshold_for_detection = -threshold else: - selem = np.ones((n_erosion_threshold, n_erosion_threshold)) - mask = binary_erosion(mask, selem) - # detect individual regions, label and count the number of pixels included: - labels, num_labels = label(mask, background=0, return_num=True) + data_for_detection = data_i + threshold_for_detection = threshold + + kwargs["min_size"] = min_num # same things, but different option names + labels = subsegmentation(data_for_detection, threshold_for_detection, **kwargs) + + # quickfix (dirty and potentially buggy) + num_labels = labels.max() + if not is_3D: # let's transpose labels to a 1,y,x array to make calculations etc easier. labels = labels[np.newaxis, :, :] @@ -1127,6 +1157,7 @@ def feature_detection_multithreshold_timestep( idx_start=idx_start, PBC_flag=PBC_flag, vertical_axis=vertical_axis, + **kwargs, ) if any([x is not None for x in features_threshold_i]): features_thresholds = pd.concat( @@ -1469,6 +1500,7 @@ def feature_detection_multithreshold( statistic=statistic, statistics_unsmoothed=statistics_unsmoothed, return_labels=return_labels, + **kwargs, ) # Process the returned data depending on the flags if return_labels: diff --git a/tobac/segmentation/__init__.py b/tobac/segmentation/__init__.py index 3568fc0e..1edad08c 100644 --- a/tobac/segmentation/__init__.py +++ b/tobac/segmentation/__init__.py @@ -8,3 +8,5 @@ watershedding_2D, watershedding_3D, ) + +from .geometric_subsegmentation import clustering as subsegmentation diff --git a/tobac/segmentation/geometric_subsegmentation.py b/tobac/segmentation/geometric_subsegmentation.py new file mode 100644 index 00000000..c41ab46f --- /dev/null +++ b/tobac/segmentation/geometric_subsegmentation.py @@ -0,0 +1,1161 @@ +#!/usr/bin/env python + +# Copyright (c) 2012- 2017 + +# TROPOS, +# Permoserstr. 15 +# 04318 Leipzig, Germany. + +# Author: +# ====== +# Fabian Senf + + +# This program is free software; you can redistribute it and/or +# modify it under the terms of the GNU General Public License as +# published by the Free Software Foundation; either version 3 of +# the License, or (at your option) any later version. + +# This program is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the +# GNU General Public License for more details. + + +""" +Package to perform segmentation of fields. + +The special emphasis is on threshold-based segmentation of +2-dim atmoshperic fields for which object-based analysis +techniques should be applied. + +**Notes** + +* the package has variants of connected compund analsis & watershedding +* some split-and-merge rules exists +* most of the method might be also applied to 3-dim fields +""" + +# load libraries ----------------------------------------------------- +import sys, os, glob + +import numpy as np +import datetime + +import scipy.ndimage +import skimage.feature +import skimage.measure + +try: + import mahotas as mh +except ImportError: + print("mahotas package not available - do not use mahotas options") + +try: + from skimage.segmentation import watershed +except ImportError: + from skimage.morphology import watershed + +from tobac.utils.general import curve_flow_filter + +###################################################################### +# (1) Single Threshold Clustering +###################################################################### + + +def clustering(f, thresh, cluster_method="watershed", min_size=20, **kwargs): + """ + General interface to aplly either connectivity or watershed clustering. + + + Parameters + ---------- + f : np.array + field to be segmented + + thresh : float + threshold for masking, set foreground to f > thresh + + cluster_method : {'watershed', 'watershed_merge', 'connect'}, optional + switch between watershed or connectivity clustering + + min_size : int, optional, default = 20 + minimum cluster size (px) left in the cluster field + + **kwargs : dict, optional + keyword argument for selected cluster algorithm + + + + Returns + ------- + c : np.array + categorial cluster field + """ + + if cluster_method == "watershed": + c = watershed_clustering(f, thresh, **kwargs) + return remove_small_clusters(c, min_size=min_size) + + elif cluster_method == "geometric_subsegmentation": + return watershed_merge_clustering(f, thresh, min_size=min_size, **kwargs) + + elif cluster_method == "connect": + c = connectivity_clustering(f, thresh, **kwargs) + return remove_small_clusters(c, min_size=min_size) + + else: + raise KeyError("Unkown cluster method") + + +###################################################################### +###################################################################### + + +def watershed_clustering( + f, + thresh, + dradius=3, + ctype=4, + marker_field="dist", + filter_method="curve", + numberOfIterations=5, + cluster_masking=True, + exclude_border=False, + marker_method="mahotas_regmax", + siggauss=1.0, + marker_shrinkage_Niter=3, + marker_shrinkage_dmin=0.1, + **kwargs, +): + """ + Applies watershed clustering to a field. + + + Parameters + ---------- + f : np.array + field to be segmented + + thresh : float + threshold for masking, set foreground to f > thresh + + dradius : int, optional + minimal distance for neighboring maxima + + ctype: {4, 8}, optional + set either 4- or 8-connectivity (edge vs. edges+corners) + + marker_field : str, optional + switch if input field `f` or a distance transform as used + to set the watershed markers + + if 'dist', then max. in Euclidean distance to background + is used to set initial markers, else the max. in field f + are taken + + filter_method : {'gauss', 'curve'}, optional + filter method used to smooth the input field + + * 'gauss' for 2d-Gaussian + * 'curve' for curvature flow filter + + numberOfIterations : int, optional + number of repeated application of curvature + flow filter the larger then smoother if selected + + cluster_masking : {True, False}, optional + if original (True) or smoothed (False) threshold mask is used. + + exclude_border : {True, False}, optional + if clusters that touch domain borders are excluded (set to zero) + + marker_method : str, optional + defines a method for marker assignment + + * 'brute_force_local_max' : just uses scipy.ndimage.maximum_filter + * 'skimage_peak_local_max' : uses skimage local maximum routine + * 'mahotas_regmax' : uses mahotas regional maximum detection + * 'iterative_shrinking' : uses iterative object shrinking depending on + relative distance-to-background + + siggauss : float, optional + sigma for Gaussian filter if selected + + marker_shrinkage_Niter : int, optional + option for marker creation, how often shrinking is applied + + marker_shrinkage_dmin : float, optional + option for marker creation + + How much of the edge is taken away. Distance is measured + relative to the maximum distance, thus 0 < dmin < 1. + + + Returns + ------- + c : np.array + categorial cluster field + """ + + # apply filtering ------------------------------------------------ + ndim = np.ndim(f) + if filter_method == "curve": + f_sm = curve_flow_filter(f, numberOfIterations=numberOfIterations) + elif filter_method == "gauss": + f_sm = scipy.ndimage.gaussian_filter(f, siggauss) + # ================================================================ + + # do masking ----------------------------------------------------- + ma = f > thresh + ma_sm = f_sm > thresh + # ================================================================ + + # apply distance transform --------------------------------------- + + if marker_field == "dist": + mfield = scipy.ndimage.distance_transform_edt(ma_sm) + else: + mfield = np.where(f_sm < thresh, 0, f_sm - thresh) + # ================================================================ + + # find local maximaand set markers ------------------------------- + if type(marker_field) == type(np.array([])): + + markers = marker_field + print("...take predefined marker field") + + elif marker_method == "brute_force_local_max": + + mfield_max = scipy.ndimage.maximum_filter(mfield, 2 * dradius + 1) + local_maxi = (mfield_max == mfield) & ma_sm + markers, nclust = scipy.ndimage.label(local_maxi) + + elif marker_method == "skimage_peak_local_max": + + local_maxi = skimage.feature.peak_local_max( + mfield, indices=False, exclude_border=exclude_border, min_distance=dradius + ) + markers, nclust = scipy.ndimage.label(local_maxi) + + elif marker_method == "mahotas_regmax": + + local_maxi = mh.regmax(mfield, Bc=2 * dradius + 1) + markers, nclust = scipy.ndimage.label(local_maxi) + + elif marker_method == "iterative_shrinking": + + # all segmentation / filter keywords are needed for marker determination + marker_kwargs = kwargs.copy() + + marker_kwargs["ctype"] = ctype + marker_kwargs["filter_method"] = filter_method + marker_kwargs["numberOfIterations"] = numberOfIterations + marker_kwargs["cluster_masking"] = cluster_masking + marker_kwargs["siggauss"] = siggauss + + markers = markers_from_iterative_shrinking( + ma_sm, + marker_shrinkage_Niter=marker_shrinkage_Niter, + marker_shrinkage_dmin=marker_shrinkage_dmin, + **marker_kwargs, + ) + + # ================================================================ + + # watersheding ---------------------------------------------------- + connect = set_connectivity_footprint(ctype, ndim) + + c = watershed(-mfield, markers, mask=ma_sm, connectivity=connect) + # ================================================================ + + # use original mask ---------------------------------------------- + if cluster_masking: + c = np.where(ma, c, 0) + # ================================================================ + + return c + + +###################################################################### +###################################################################### + + +def connectivity_clustering( + f, + thresh, + filter_method="curve", + numberOfIterations=5, + ctype=4, + cluster_masking=True, + siggauss=1.0, + **kwargs, +): + """ + Applies connectivity clustering to a field. + + + Parameters + ---------- + f : np.array + field to be segmented + + thresh : float + threshold for masking, set foreground to f > thresh + + filter_method : {'gauss', 'curve'}, optional + filter method used to smooth the input field + + * 'gauss' for 2d-Gaussian + * 'curve' for curvature flow filter + + numberOfIterations : int, optional + number of repeated application of curvature + flow filter the larger then smoother if selected + + ctype: {4, 8}, optional + set either 4- or 8-connectivity (edge vs. edges+corners) + + cluster_masking : {True, False}, optional + if original (True) or smoothed (False) threshold mask is used. + + siggauss : float, optional + sigma for Gaussian filter if selected + + **kwargs : dict, optional + set of additional, but not used keywords + + + Returns + ------- + c : np.array + categorial cluster field + + """ + + # apply filtering ------------------------------------------------ + ndim = np.ndim(f) + if filter_method == "curve": + f_sm = curve_flow_filter(f, numberOfIterations=numberOfIterations) + elif filter_method == "gauss": + f_sm = scipy.ndimage.gaussian_filter(f, siggauss) + # ================================================================ + + # do masking ----------------------------------------------------- + ma = f > thresh + ma_sm = f_sm > thresh + # ================================================================ + + # connectivity --------------------------------------------------- + connect = set_connectivity_footprint(ctype, ndim) + c, nclust = scipy.ndimage.label(ma_sm, connect) + # ================================================================ + + # use original mask ---------------------------------------------- + if cluster_masking: + c = np.where(ma, c, 0) + # ================================================================ + + return c + + +###################################################################### +###################################################################### + + +def watershed_merge_clustering(f, thresh, min_size=20, merge_ratio=0.5, **kwargs): + """ + + Applies watershed clustering to a field and then tries to merge them again. + + The merging is based on the ratio between maximum distances-to-background + within the subclusters and on the cluster broders. + + + Parameters + ---------- + f : np.array + field to be segmented + + thresh : float + threshold for masking, set foreground to f > thresh + + min_size : int, optional, default = 20 + optional, minimum cluster size (px) left in the cluster field + + merge_ratio : float, optional + essentially the ratio between interface length and cluster size + + if the interface is longer than `merge_ratio` * cluster_size + than to two connected objects are merged. + + **kwargs : dict, optional + keywords passed to `watershed_clustering` routine + + + Returns + ------- + c_update : np.array + categorial cluster field (updated for merges) + + """ + + # LLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLL + # Section 1: split the existing cluster into smaller parts + # TTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTT + + # split the field using watershed segmentation ------------------- + cw = watershed_clustering(f, thresh, **kwargs) + + # sort clusters ... THIS MIGHT BE REMOVED .... + # cw = remove_small_clusters(cw, 0) + # ================================================================ + + # LLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLL + # Section 2: get information about the borders + # TTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTT + + # use dilattion to expand the original field --------------------- + cadd = scipy.ndimage.maximum_filter(cw, 3) + + # get edge or border from difference between the fields + cedge = np.where(cw == 0, 0, cw - cadd) + + # the number of two touching clusters are extracted + c1 = cw[cedge != 0] + c2 = cadd[cedge != 0] + + # now we collect all possible combinations of touching clusters + touching_clusters = set(zip(c1, c2)) + # ================================================================ + + # LLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLL + # Section 3: test for merging + # TTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTT + + # get distance field --------------------------------------------- + dist = scipy.ndimage.distance_transform_edt(f > thresh) + # ================================================================ + + # loop over all combinations ------------------------------------- + merging_clusters = [] + for nc1, nc2 in sorted(touching_clusters): + + # set cluster masks + mask1 = cw == nc1 + mask2 = cadd == nc2 + + # generate edge mask + edge_mask = (cedge != 0) & mask1 & mask2 + + # maximal distances-to-background within the clusters + d1_max = dist[mask1].max() + d2_max = dist[mask2].max() + + # now take the smaller one + d_max = np.minimum(d1_max, d2_max) + + d_edge_max = dist[edge_mask].max() + + # calculate distance ratio + dist_ratio = d_edge_max / d_max + if dist_ratio > merge_ratio: + merging_clusters += [(nc1, nc2)] + # ================================================================ + + # LLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLL + # Section 4: apply all merges + # TTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTT + + # get lists of connected clusters + connected_clusters = connected_sequences2pairlists(merging_clusters) + + for nmerge in list(connected_clusters.keys()): + + # list of clusters that should be merged + mlist = connected_clusters[nmerge] + nc_target = mlist[0] + for m in mlist[1:]: + cw = np.where(cw == m, nc_target, cw) + + # this sorts the stuff agian + c_update = remove_small_clusters(cw, min_size=min_size) + + return c_update + + +###################################################################### +###################################################################### + + +def connected_sequences2pairlists(connected_pairs_list): + """ + The routine gets a set of paired numbers which show connection between numbers + and collects all connections in a list of pairs. + + + Parameters + ---------- + connected_pairs_list : list + list of number pairs + + + Returns + ------- + pair_list : dict + dictionary that contains pair lists + + """ + + merging_clusters = connected_pairs_list[:] + + pair_list = {} + cluster_list_copy = merging_clusters[:] + i = 1 + + while len(cluster_list_copy) != 0: + NOT_CONVERGED = True + pair_list[i] = list(merging_clusters.pop(0)) + + while NOT_CONVERGED: + for pair in merging_clusters: + c1, c2 = pair + FOUND = False + + if c1 in pair_list[i]: + pair_list[i] += [ + c2, + ] + FOUND = True + + if c2 in pair_list[i]: + pair_list[i] += [ + c1, + ] + FOUND = True + + if FOUND: + cluster_list_copy.remove(pair) + + # check if something changed + NOT_CONVERGED = merging_clusters != cluster_list_copy + + merging_clusters = cluster_list_copy[:] + + i += 1 + + for npair in pair_list: + pair_list[npair] = sorted(list(set(pair_list[npair]))) + + return pair_list + + +###################################################################### +###################################################################### + + +def markers_from_iterative_shrinking( + mask, marker_shrinkage_Niter=3, marker_shrinkage_dmin=0.1, **kwargs +): + """ + The routine tries to find core parts of objects via iterative shrinking. + + Each object is normalized by its maximum distance-to-background which + makes the algorithm scale-invariant. + + + Parameters + ---------- + mask : np.array + binary mask + + + marker_shrinkage_Niter : int, optional + option for marker creation, how often shrinking is applied + + marker_shrinkage_dmin : float, optional + option for marker creation + + How much of the edge is taken away. Distance is measured + relative to the maximum distance, thus 0 < dmin < 1. + + + Returns + ------- + markers : np.array + markers field with increasing index per marker region + """ + + # precalculate the distance transform ---------------------------- + d = scipy.ndimage.distance_transform_edt(mask) + # ================================================================ + + # connectivity analysis for segmentation ------------------------- + c = connectivity_clustering(d, 0, **kwargs) + # ================================================================ + + for niter in range(marker_shrinkage_Niter): + print(niter, ". Shrinking iteration") + + # get maximum distance-to-background per object ------------------ + dmax = scipy.ndimage.measurements.maximum( + d, labels=c, index=list(range(c.max() + 1)) + ) + # ================================================================ + + # get normed distance -> max. = 1 per object --------------------- + dnorm = np.where(dmax[c] == 0, 0, d / dmax[c]) + # ================================================================ + + # perform segmentation on normed distance ------------------------ + cnorm = connectivity_clustering(dnorm, marker_shrinkage_dmin, **kwargs) + # ================================================================ + + # get new initial values ------------------------------------- + c = cnorm + d = scipy.ndimage.distance_transform_edt(c != 0) + # ============================================================ + + # cluster field as output ---------------------------------------- + markers = c + # ================================================================ + + return markers + + +###################################################################### +# (2) Multi-Treshold Clustering +###################################################################### + + +def multithreshold_clustering( + f, thresh_min, thresh_max, nthresh=10, use_percentile_threshold=False, **kws +): + """ + Performs sequential segmentation and returns the combine result only keeping the + predecessor object alive. + + + Parameters + ---------- + f : numpy array, 2dim or 3dim + input field + + thresh_min : float + minimum threshold value + + thresh_max : float + maximum threshold value + + nthresh : int, optional + number of threshold values + + use_percentile_threshold : {True, False}, optional + if threshold list is derived from field percentiles + + **kws : dict + keywords passed to segmentation routine + + + Returns + ------- + c : numpy array, same shape as f + combined label field + """ + + # get the segmented data stack + c3d = sequential_segmentation( + f, + thresh_min, + thresh_max, + nthresh=nthresh, + use_percentile_threshold=use_percentile_threshold, + **kws, + ) + + # do the sequential combination + c = combine_object_stack(c3d) + + return c + + +###################################################################### +###################################################################### + + +def sequential_segmentation( + f, thresh_min, thresh_max, nthresh=10, use_percentile_threshold=False, **kws +): + """ + Performs sequential segmentation. + + + Parameters + ---------- + f : numpy array, 2dim or 3dim + input field + + thresh_min : float + minimum threshold value + + thresh_max : float + maximum threshold value + + nthresh : int + number of threshold values + + use_percentile_threshold : {True, False}, optional + if threshold list is derived from field percentiles + + **kws : dict + keywords passed to segmentation routine + + + Returns + ------- + c3d : numpy array, one dimension added + stack of labeled field, from max. thresh to min. thresh + """ + + # get shape of field + s = list(f.shape) + + # get threshold list + if use_percentile_threshold: + perc_list = np.linspace(thresh_min, thresh_max, nthresh) + + thresh_list = np.percentile(f, perc_list) + else: + thresh_list = np.linspace(thresh_min, thresh_max, nthresh) + + # inverse list from max to min + thresh_list = thresh_list[::-1] + + shape3d = [ + nthresh, + ] + s + c3d = np.zeros(shape3d) + noffset = 0 + + # now loop over thresholds + for i in range(nthresh): + + # get labels + thresh = thresh_list[i] + c = clustering(f, thresh, **kws) + + # store with offset + c3d[i] = np.where(c == 0, 0, c + noffset) + noffset = c3d[i].max() + + return c3d + + +###################################################################### +###################################################################### + + +def combine_object_stack(c3d): + """ + Sequentially combines object label fields by searching for new objects + that have no predecessor in the higher hierarchy level. + + + Parameters + ---------- + c3d : numpy array, 3dim or 4dim + labeled object data stack + + + Returns + ------- + c : numpy array, 2dim or 3dim + combined label field + """ + + # get shape and number of stacks + s = c3d.shape + nstack = s[0] + + c = c3d[0, :] + + for i in range(1, nstack): + + # extract two labeling levels + c_prev = c # 3d[i - 1].astype( np.int ) + c_next = c3d[i].astype(np.int64) + + # get indication if cell is already define for predecessor + maxlab_prev = scipy.ndimage.measurements.maximum( + c_prev, labels=c_next, index=np.arange(0, c_next.max() + 1) + ) + + # predecessor mask where a cell already exists + pred_mask = maxlab_prev[c_next] > 0 + + # and also get the background + next_bg_mask = c_next == 0 + + # combine the two possibilities + mask = np.logical_or(pred_mask, next_bg_mask) + + c = np.where(mask, c, c_next) + + c = sort_clusters(c.astype(np.int64)) + + return c + + +###################################################################### +# (3) Utility Functions +###################################################################### + + +def set_connectivity_footprint(ctype, ndim): + """ + Return connectivity footprint for either 4-connectivity or + 8-connectivity. + + 4-connectivity only includes neigboring sides, 8-connectivity also + includes neighboring diagonal values. + + + + Parameters + ---------- + ctype: {4, 8} + set either 4- or 8-connectivity (edge vs. edges+corners) + + ndim : {2,3} + dimension of the field (either 2-dim or 3-dim) + + + Returns + ------- + footprint : np.array + ndim-dimensional connectivity footprint + """ + + if ctype == 4: + + if ndim == 2: + footprint = np.array([[0, 1, 0], [1, 1, 1], [0, 1, 0]]) + + elif ndim == 3: + footprint = np.array( + [ + [[0, 0, 0], [0, 1, 0], [0, 0, 0]], + [[0, 1, 0], [1, 1, 1], [0, 1, 0]], + [[0, 0, 0], [0, 1, 0], [0, 0, 0]], + ] + ) + + elif ctype == 8: + footprint = np.ones( + [ + 3, + ] + * ndim + ) + + return footprint + + +###################################################################### +###################################################################### + + +def sort_clusters(c): + """ + It sorts clusters by size (number of pixels) in decreasing order. + + + Parameters + ---------- + c : np.array + categorial cluster field + + + Returns + ------- + c_re : np.array + categorial cluster field with sorted objects (from large to small) + """ + + c_re = remove_clustersize_outside(c, min_size=0, max_size=np.inf) + return c_re + + +###################################################################### +###################################################################### + + +def remove_small_clusters(c, min_size=6): + """ + Counts numbers of pixels per cluster cell and removes clusters smaller + than minimum size. + + In addition, it sorts clusters by size in decreasing order. + + + Parameters + ---------- + c : np.array + categorial cluster field + + min_size : int, optional + minimum cluster size (px) left in the cluster field + + + Returns + ------- + c_re : np.array + categorial cluster field with sorted objects (from large to small) + + objects smaller than or equal `min_size` are removed + """ + + return remove_clustersize_outside(c, min_size=min_size) + + +###################################################################### +###################################################################### + + +def remove_clustersize_outside(c, min_size=6, max_size=np.inf): + """ + Counts numbers of pixels per cluster cell and removes clusters outside + a size range defined by a minimum and maximum size. + + In addition, it sorts clusters by size in decreasing order. + + + Parameters + ---------- + c : np.array + categorial cluster field + + min_size : int, optional + minimum cluster size (px) left in the cluster field + + max_size : int, optional + maximum cluster size (px) left in the cluster field + + + Returns + ------- + c_re : np.array + categorial cluster field with sorted objects (from large to small) + + * objects smaller than or equal `min_size` are removed + * objects larger than or equal `max_size` are removed + + """ + + # set binary mask + mask = np.where(c == 0, 0, 1) + + # get pixel sums per object + psum = scipy.ndimage.measurements.sum( + mask, labels=c, index=list(range(c.max() + 1)) + ) + + # how is pixel sum sorted? Biggest first ... + isort = psum.argsort()[::-1] + + # set up the scoring of pixel sums + score = np.arange(len(psum)) + 1 + + # get the mapping + imap = np.zeros_like(psum).astype(np.int64) + imap[isort] = score + + # conditions + imap[psum <= min_size] = 0 + imap[psum >= max_size] = 0 + + c_re = imap[c] + + return c_re + + +###################################################################### +###################################################################### + + +def remove_clustersize_outside_slow(c, min_size=6, max_size=np.inf, sort=True): + """ + OLD VERSION --> much slower ... + + Counts numbers of pixels per cluster cell and removes clusters outside + a size range defined by a minimum and maximum size. + + In addition, it sorts clusters by size in decreasing order. + + + Parameters + ---------- + c : np.array + categorial cluster field + + min_size : int, optional + minimum cluster size (px) left in the cluster field + + max_size : int, optional + maximum cluster size (px) left in the cluster field + + sort : {True, False}, optional + if objects are sorted by size + + + Returns + ------- + c_re : np.array + categorial cluster field with sorted objects (from large to small) + + * objects smaller than or equal `min_size` are removed + * objects larger than or equal `max_size` are removed + """ + + # calculate cluster sizes ---------------------------------------- + clust_size = {} + + # init new number index and cluster field + c_re = np.zeros_like(c) + cnum_new = 1 + + # also init mapping between size and number of field + csizes = [] + + for cnum in range(1, c.max() + 1): + + # set mask + m = c == cnum + + # get size + csize = len(c[m]) + clust_size[cnum] = csize + + # assign new number to cluster that is large enough + if csize >= min_size and csize <= max_size: + + c_re[m] = cnum_new + csizes.append(csize) + + cnum_new += 1 + + # sort the field by cluster size + if sort: + + csizes = np.array(csizes) + cindices = csizes.argsort()[::-1] + + csort = np.zeros_like(c) + + for ci_new, ci_old in enumerate(cindices): + m = c_re == ci_old + 1 + csort[m] = ci_new + 1 + + cout = csort + else: + cout = c_re + # ================================================================ + + return cout + + +###################################################################### +###################################################################### + + +def percentiles_from_cluster(f, c, p=[25, 50, 75], index=None): + """ + Calculates percentiles of cells in an segmented (labeled) field. + + Functionality missing in scipy.ndimage.measurements. + + Parameters + ---------- + f : np.array + the field as basis for percentile calculation + + c : np.array + categorial cluster field + + p : list or np.array, optional + percentiles array + + index : list or `None`, optional + list of object labels for which percentiles are calculated + + + Returns + ------- + pc : np.array + percentiles per cell (including background (set to zero)) + """ + + # get slices ..................................................... + slices = scipy.ndimage.measurements.find_objects(c) + + # set index + if index == None: + index = list(range(1, len(slices) + 1)) + + # loop over slices ............................................... + + nperc = len(p) + pc = [ + np.zeros(nperc), + ] + + for i in index: + + try: + s = slices[i - 1] + cc = c[s] + fc = f[s] + + m = cc == i # assume that slices are sorted + + pvec = np.percentile(fc[m], p) + except: + pvec = np.nan * np.ones(nperc) + + pc.append(pvec) + + return pc + + +###################################################################### +###################################################################### + + +if __name__ == "__main__": + + # do the test with random field ---------------------------------- + r = np.random.randn(100, 100) + r_sm = scipy.ndimage.median_filter(r, 5) + rm = np.where(r_sm > 0.1, r_sm, 0) + # ================================================================ + + # connectivity --------------------------------------------------- + c_con = connectivity_clustering(rm, 0) + c_wat_mark = watershed_clustering(rm, 0) + c_wat = watershed_clustering(rm, 0, marker_field="same", dradius=6) + # ================================================================ + + import matplotlib + + matplotlib.use("Agg") + import pylab as pl + + pl.subplot(221) + pl.imshow(np.ma.masked_equal(rm, 0)) + pl.subplot(222) + pl.imshow(np.ma.masked_equal(c_con, 0), cmap=pl.cm.prism) + pl.subplot(223) + pl.imshow(np.ma.masked_equal(c_wat_mark, 0), cmap=pl.cm.prism) + + pl.subplot(224) + pl.imshow(np.ma.masked_equal(c_wat, 0), cmap=pl.cm.prism) diff --git a/tobac/tests/segmentation_tests/test_segmentation_time_pad.py b/tobac/tests/segmentation_tests/test_segmentation_time_pad.py index 70c17b9a..7bae8e4e 100644 --- a/tobac/tests/segmentation_tests/test_segmentation_time_pad.py +++ b/tobac/tests/segmentation_tests/test_segmentation_time_pad.py @@ -74,7 +74,6 @@ def test_watershed_segmentation_time_pad( # detect both features fd_output = feature_detection.feature_detection_multithreshold( test_data_xarray, - i_time=0, dxy=1, threshold=[1, 2, 3], n_min_threshold=test_min_num, diff --git a/tobac/utils/general.py b/tobac/utils/general.py index 3b1ff9b2..8a878480 100644 --- a/tobac/utils/general.py +++ b/tobac/utils/general.py @@ -18,6 +18,13 @@ import xarray as xr import warnings +try: + import SimpleITK +except ImportError: + warnings.warn( + "SimpleITK not available. Some image processing functionality may be limited." + ) + def add_coordinates( features: pd.DataFrame, @@ -751,3 +758,46 @@ def standardize_track_dataset(TrackedFeatures, Mask, Projection=None): ds["ProjectionCoordinateSystem"] = Projection return ds + + +def curve_flow_filter(f, numberOfIterations=5): + """ + Smoothing filter depending on isoline curvature. Interface for + curvature flow filter from simpleITK toolkit. + + Parameters + ---------- + f : numpy array (2-dim) + 2d field to be filtered (smoothed) + numberOfIterations : int, optional, default = 5 + number of iterations, increases smooting effect + + Returns + ------- + f_sm : numpy array (2-dim) + smoothed 2d field + + Notes + ----- + Only works if SimpleITK is installed !!! + + Raises + ------ + ImportError + If SimpleITK is not available + """ + try: + img = SimpleITK.GetImageFromArray(f) + + img_sm = SimpleITK.CurvatureFlow(img, numberOfIterations=numberOfIterations) + + f_sm = SimpleITK.GetArrayFromImage(img_sm) + + return f_sm + + except NameError: + + raise ImportError( + "SimpleITK is required for curve_flow_filter but is not available. " + "Please install SimpleITK to use this function." + )