.. DO NOT EDIT. .. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY. .. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE: .. "advanced/image_processing/auto_examples/plot_measure_data.py" .. LINE NUMBERS ARE GIVEN BELOW. .. only:: html .. note:: :class: sphx-glr-download-link-note :ref:`Go to the end ` to download the full example code. .. rst-class:: sphx-glr-example-title .. _sphx_glr_advanced_image_processing_auto_examples_plot_measure_data.py: Measurements from images ========================== This examples shows how to measure quantities from various images. .. GENERATED FROM PYTHON SOURCE LINES 8-44 .. image-sg:: /advanced/image_processing/auto_examples/images/sphx_glr_plot_measure_data_001.png :alt: plot measure data :srcset: /advanced/image_processing/auto_examples/images/sphx_glr_plot_measure_data_001.png :class: sphx-glr-single-img .. code-block:: Python import numpy as np import scipy as sp import matplotlib.pyplot as plt rng = np.random.default_rng(27446968) n = 10 l = 256 im = np.zeros((l, l)) points = l * rng.random((2, n**2)) im[(points[0]).astype(int), (points[1]).astype(int)] = 1 im = sp.ndimage.gaussian_filter(im, sigma=l / (4.0 * n)) mask = im > im.mean() label_im, nb_labels = sp.ndimage.label(mask) sizes = sp.ndimage.sum(mask, label_im, range(nb_labels + 1)) mask_size = sizes < 1000 remove_pixel = mask_size[label_im] label_im[remove_pixel] = 0 labels = np.unique(label_im) label_clean = np.searchsorted(labels, label_im) plt.figure(figsize=(6, 3)) plt.subplot(121) plt.imshow(label_im, cmap="nipy_spectral") plt.axis("off") plt.subplot(122) plt.imshow(label_clean, vmax=nb_labels, cmap="nipy_spectral") plt.axis("off") plt.subplots_adjust(wspace=0.01, hspace=0.01, top=1, bottom=0, left=0, right=1) plt.show() .. rst-class:: sphx-glr-timing **Total running time of the script:** (0 minutes 0.033 seconds) .. _sphx_glr_download_advanced_image_processing_auto_examples_plot_measure_data.py: .. only:: html .. container:: sphx-glr-footer sphx-glr-footer-example .. container:: sphx-glr-download sphx-glr-download-jupyter :download:`Download Jupyter notebook: plot_measure_data.ipynb ` .. container:: sphx-glr-download sphx-glr-download-python :download:`Download Python source code: plot_measure_data.py ` .. container:: sphx-glr-download sphx-glr-download-zip :download:`Download zipped: plot_measure_data.zip ` .. only:: html .. rst-class:: sphx-glr-signature `Gallery generated by Sphinx-Gallery `_