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scikit-image · Dec 5, 2024 · 4dbd021 · 4dbd021
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diff --git a/dev/_downloads/0168c074c64f3fe8cc1e520a58fb63cb/plot_canny.zip b/dev/_downloads/0168c074c64f3fe8cc1e520a58fb63cb/plot_canny.zip
diff --git a/dev/_downloads/0273178117af2ba089ce9adcd9aa9e67/plot_fundamental_matrix.zip b/dev/_downloads/0273178117af2ba089ce9adcd9aa9e67/plot_fundamental_matrix.zip
diff --git a/dev/_downloads/02e66f255b3b6cd3a72a2daad6f542c7/plot_expand_labels.zip b/dev/_downloads/02e66f255b3b6cd3a72a2daad6f542c7/plot_expand_labels.zip
diff --git a/dev/_downloads/033d6895a1a08414963075f774caa532/plot_3d.zip b/dev/_downloads/033d6895a1a08414963075f774caa532/plot_3d.zip
diff --git a/dev/_downloads/04216ab39a5bd0a8d8624cb0211cd7ef/plot_line_hough_transform.zip b/dev/_downloads/04216ab39a5bd0a8d8624cb0211cd7ef/plot_line_hough_transform.zip
diff --git a/dev/_downloads/07fcc19ba03226cd3d83d4e40ec44385/auto_examples_python.zip b/dev/_downloads/07fcc19ba03226cd3d83d4e40ec44385/auto_examples_python.zip
diff --git a/dev/_downloads/09613139b7455f2f195cd1b1f0c15327/plot_register_rotation.zip b/dev/_downloads/09613139b7455f2f195cd1b1f0c15327/plot_register_rotation.zip
diff --git a/dev/_downloads/0c5649869d39bc8676a19a91ce067e2e/plot_text.zip b/dev/_downloads/0c5649869d39bc8676a19a91ce067e2e/plot_text.zip
diff --git a/dev/_downloads/0e55e9415547e3ba2fd30da41ed96dbe/plot_multiotsu.zip b/dev/_downloads/0e55e9415547e3ba2fd30da41ed96dbe/plot_multiotsu.zip
diff --git a/dev/_downloads/0e6c07e10b0163761c59f6f33b24582a/plot_rescale.zip b/dev/_downloads/0e6c07e10b0163761c59f6f33b24582a/plot_rescale.zip
diff --git a/dev/_downloads/0e9b6f32757fc0c1b7476cd153556798/plot_edge_filter.zip b/dev/_downloads/0e9b6f32757fc0c1b7476cd153556798/plot_edge_filter.zip
diff --git a/dev/_downloads/1582ea94dd92a18d58c9f0cd34ba8060/plot_tps_deformation.zip b/dev/_downloads/1582ea94dd92a18d58c9f0cd34ba8060/plot_tps_deformation.zip
diff --git a/dev/_downloads/19e42562680feb08b9c065d9e2b6875e/plot_piecewise_affine.zip b/dev/_downloads/19e42562680feb08b9c065d9e2b6875e/plot_piecewise_affine.zip
diff --git a/dev/_downloads/1c43f6a63917e5209138e730336a424a/plot_rag_mean_color.zip b/dev/_downloads/1c43f6a63917e5209138e730336a424a/plot_rag_mean_color.zip
diff --git a/dev/_downloads/1caec8fc8769f701523735678a2ea454/plot_phase_unwrap.zip b/dev/_downloads/1caec8fc8769f701523735678a2ea454/plot_phase_unwrap.zip
diff --git a/dev/_downloads/1ce9601465a93c12050206358d788b5d/plot_ncut.zip b/dev/_downloads/1ce9601465a93c12050206358d788b5d/plot_ncut.zip
diff --git a/dev/_downloads/1cf66ebd5eab557e70103caf60e36dc8/plot_morphology.zip b/dev/_downloads/1cf66ebd5eab557e70103caf60e36dc8/plot_morphology.zip
diff --git a/dev/_downloads/1e350d366f1c07ade16ef7125f357106/plot_trainable_segmentation.zip b/dev/_downloads/1e350d366f1c07ade16ef7125f357106/plot_trainable_segmentation.zip
diff --git a/dev/_downloads/208368b72ece6d6226f254627eb98bb1/plot_entropy.zip b/dev/_downloads/208368b72ece6d6226f254627eb98bb1/plot_entropy.zip
diff --git a/dev/_downloads/256d16b4c659f5db96b197bd6ae03289/plot_solidification_tracking.zip b/dev/_downloads/256d16b4c659f5db96b197bd6ae03289/plot_solidification_tracking.zip
diff --git a/dev/_downloads/2944dab8c7ff017a473fdf6e92c848fe/plot_transform_types.zip b/dev/_downloads/2944dab8c7ff017a473fdf6e92c848fe/plot_transform_types.zip
diff --git a/dev/_downloads/2b26a0b8b8b418294f6a9752445b491e/plot_watershed.zip b/dev/_downloads/2b26a0b8b8b418294f6a9752445b491e/plot_watershed.zip
diff --git a/dev/_downloads/2e2d5a0f975ea075091691c4c8009f0e/plot_ihc_color_separation.zip b/dev/_downloads/2e2d5a0f975ea075091691c4c8009f0e/plot_ihc_color_separation.zip
diff --git a/dev/_downloads/3204002e96ed3bb0de750f93f03ad86c/plot_equalize.zip b/dev/_downloads/3204002e96ed3bb0de750f93f03ad86c/plot_equalize.zip
diff --git a/dev/_downloads/32086750ef1a048f08876bf634f91311/plot_ransac.zip b/dev/_downloads/32086750ef1a048f08876bf634f91311/plot_ransac.zip
diff --git a/dev/_downloads/3343f361e99e22307c2a4ce3844ef698/plot_boundary_merge.zip b/dev/_downloads/3343f361e99e22307c2a4ce3844ef698/plot_boundary_merge.zip
diff --git a/dev/_downloads/37b0885e963aecce53cc524abb2b3a2a/plot_structuring_elements.py b/dev/_downloads/37b0885e963aecce53cc524abb2b3a2a/plot_structuring_elements.py
@@ -13,11 +13,9 @@
 from mpl_toolkits.mplot3d import Axes3D
 
 from skimage.morphology import (
-    square,
-    rectangle,
+    footprint_rectangle,
     diamond,
     disk,
-    cube,
     octahedron,
     ball,
     octagon,
@@ -26,15 +24,19 @@
 
 # Generate 2D and 3D structuring elements.
 struc_2d = {
-    "square(15)": square(15),
-    "rectangle(15, 10)": rectangle(15, 10),
+    "square 15x15": footprint_rectangle((15, 15)),
+    "rectangle 15x10": footprint_rectangle((15, 10)),
     "diamond(7)": diamond(7),
     "disk(7)": disk(7),
     "octagon(7, 4)": octagon(7, 4),
     "star(5)": star(5),
 }
 
-struc_3d = {"cube(11)": cube(11), "octahedron(5)": octahedron(5), "ball(5)": ball(5)}
+struc_3d = {
+    "cube 11x11x11": footprint_rectangle((11, 11, 11)),
+    "octahedron(5)": octahedron(5),
+    "ball(5)": ball(5),
+}
 
 # Visualize the elements.
 fig = plt.figure(figsize=(8, 8))

diff --git a/dev/_downloads/381cfe81a104fb47b4459c87cd71582a/plot_circular_elliptical_hough_transform.zip b/dev/_downloads/381cfe81a104fb47b4459c87cd71582a/plot_circular_elliptical_hough_transform.zip
diff --git a/dev/_downloads/3a9737d8fb835655a7befb73ff997733/plot_rag.zip b/dev/_downloads/3a9737d8fb835655a7befb73ff997733/plot_rag.zip
diff --git a/dev/_downloads/3b7639023b891706f0a130a70b79c380/plot_adapt_hist_eq_3d.zip b/dev/_downloads/3b7639023b891706f0a130a70b79c380/plot_adapt_hist_eq_3d.zip
diff --git a/dev/_downloads/3ddd0adfade0cf7ba5eaad9c91c9a9bd/plot_cornea_spot_inpainting.zip b/dev/_downloads/3ddd0adfade0cf7ba5eaad9c91c9a9bd/plot_cornea_spot_inpainting.zip
diff --git a/dev/_downloads/3fdde068990fa30edbe99ec73c80c7d4/plot_max_tree.zip b/dev/_downloads/3fdde068990fa30edbe99ec73c80c7d4/plot_max_tree.zip
diff --git a/dev/_downloads/4569da894c811832eede8285f08e6b03/plot_blob.zip b/dev/_downloads/4569da894c811832eede8285f08e6b03/plot_blob.zip
diff --git a/dev/_downloads/4940dcaf917049c3d157eb0dff02e1fd/plot_hysteresis.zip b/dev/_downloads/4940dcaf917049c3d157eb0dff02e1fd/plot_hysteresis.zip
diff --git a/dev/_downloads/4962e68e8e019622cbdd1e399f845856/plot_blur_effect.zip b/dev/_downloads/4962e68e8e019622cbdd1e399f845856/plot_blur_effect.zip
diff --git a/dev/_downloads/4a60af85571fb8b87953f5fdf1ec0f27/plot_shape_index.zip b/dev/_downloads/4a60af85571fb8b87953f5fdf1ec0f27/plot_shape_index.zip
diff --git a/dev/_downloads/4b810083fa4745f741f2b20e2c2e86ba/plot_inpaint.zip b/dev/_downloads/4b810083fa4745f741f2b20e2c2e86ba/plot_inpaint.zip
diff --git a/dev/_downloads/4e037184fa9f440e090150652a9f8d86/plot_fisher_vector.zip b/dev/_downloads/4e037184fa9f440e090150652a9f8d86/plot_fisher_vector.zip
diff --git a/dev/_downloads/4fc6322d43a4b93d2c80da475c86ba03/plot_footprint_decompositions.ipynb b/dev/_downloads/4fc6322d43a4b93d2c80da475c86ba03/plot_footprint_decompositions.ipynb
@@ -15,7 +15,7 @@
       },
       "outputs": [],
       "source": [
-        "import numpy as np\nimport matplotlib.pyplot as plt\nfrom matplotlib import colors\nfrom mpl_toolkits.mplot3d import Axes3D\n\nfrom skimage.morphology import (\n    ball,\n    cube,\n    diamond,\n    disk,\n    ellipse,\n    octagon,\n    octahedron,\n    rectangle,\n    square,\n)\nfrom skimage.morphology.footprints import footprint_from_sequence\n\n\n# Generate 2D and 3D structuring elements.\nfootprint_dict = {\n    \"square(11) (separable)\": (\n        square(11, decomposition=None),\n        square(11, decomposition=\"separable\"),\n    ),\n    \"square(11) (sequence)\": (\n        square(11, decomposition=None),\n        square(11, decomposition=\"sequence\"),\n    ),\n    \"rectangle(7, 11) (separable)\": (\n        rectangle(7, 11, decomposition=None),\n        rectangle(7, 11, decomposition=\"separable\"),\n    ),\n    \"rectangle(7, 11) (sequence)\": (\n        rectangle(7, 11, decomposition=None),\n        rectangle(7, 11, decomposition=\"sequence\"),\n    ),\n    \"diamond(5) (sequence)\": (\n        diamond(5, decomposition=None),\n        diamond(5, decomposition=\"sequence\"),\n    ),\n    \"disk(7, strict_radius=False) (sequence)\": (\n        disk(7, strict_radius=False, decomposition=None),\n        disk(7, strict_radius=False, decomposition=\"sequence\"),\n    ),\n    \"disk(7, strict_radius=True) (crosses)\": (\n        disk(7, strict_radius=True, decomposition=None),\n        disk(7, strict_radius=True, decomposition=\"crosses\"),\n    ),\n    \"ellipse(4, 9) (crosses)\": (\n        ellipse(4, 9, decomposition=None),\n        ellipse(4, 9, decomposition=\"crosses\"),\n    ),\n    \"disk(20) (sequence)\": (\n        disk(20, strict_radius=False, decomposition=None),\n        disk(20, strict_radius=False, decomposition=\"sequence\"),\n    ),\n    \"octagon(7, 4) (sequence)\": (\n        octagon(7, 4, decomposition=None),\n        octagon(7, 4, decomposition=\"sequence\"),\n    ),\n    \"cube(11) (separable)\": (\n        cube(11, decomposition=None),\n        cube(11, decomposition=\"separable\"),\n    ),\n    \"cube(11) (sequence)\": (\n        cube(11, decomposition=None),\n        cube(11, decomposition=\"sequence\"),\n    ),\n    \"octahedron(7) (sequence)\": (\n        octahedron(7, decomposition=None),\n        octahedron(7, decomposition=\"sequence\"),\n    ),\n    \"ball(9) (sequence)\": (\n        ball(9, strict_radius=False, decomposition=None),\n        ball(9, strict_radius=False, decomposition=\"sequence\"),\n    ),\n}\n\n# Visualize the elements\n\n# binary white / blue colormap\ncmap = colors.ListedColormap(['white', (0.1216, 0.4706, 0.70588)])\n\nfontdict = dict(fontsize=16, fontweight='bold')\nfor title, (footprint, footprint_sequence) in footprint_dict.items():\n    ndim = footprint.ndim\n    num_seq = len(footprint_sequence)\n    approximate_decomposition = 'ball' in title or 'disk' in title or 'ellipse' in title\n    if approximate_decomposition:\n        # Two extra plot in approximate cases to show both:\n        # 1.) decomposition=None idea footprint\n        # 2.) actual composite footprint corresponding to the sequence\n        num_subplots = num_seq + 2\n    else:\n        # composite and decomposition=None are identical so only 1 extra plot\n        num_subplots = num_seq + 1\n    fig = plt.figure(figsize=(4 * num_subplots, 5))\n    if ndim == 2:\n        ax = fig.add_subplot(1, num_subplots, num_subplots)\n        ax.imshow(footprint, cmap=cmap, vmin=0, vmax=1)\n        if approximate_decomposition:\n            ax2 = fig.add_subplot(1, num_subplots, num_subplots - 1)\n            footprint_composite = footprint_from_sequence(footprint_sequence)\n            ax2.imshow(footprint_composite, cmap=cmap, vmin=0, vmax=1)\n\n    else:\n        ax = fig.add_subplot(1, num_subplots, num_subplots, projection=Axes3D.name)\n        ax.voxels(footprint, cmap=cmap)\n        if approximate_decomposition:\n            ax2 = fig.add_subplot(\n                1, num_subplots, num_subplots - 1, projection=Axes3D.name\n            )\n            footprint_composite = footprint_from_sequence(footprint_sequence)\n            ax2.voxels(footprint_composite, cmap=cmap)\n\n    title1 = title.split(' (')[0]\n    if approximate_decomposition:\n        # plot decomposition=None on a separate axis from the composite\n        title = title1 + '\\n(decomposition=None)'\n    else:\n        # for exact cases composite and decomposition=None are identical\n        title = title1 + '\\n(composite)'\n    ax.set_title(title, fontdict=fontdict)\n    ax.set_axis_off()\n    if approximate_decomposition:\n        ax2.set_title(title1 + '\\n(composite)', fontdict=fontdict)\n        ax2.set_axis_off()\n\n    for n, (fp, num_reps) in enumerate(footprint_sequence):\n        npad = [((footprint.shape[d] - fp.shape[d]) // 2,) * 2 for d in range(ndim)]\n        fp = np.pad(fp, npad, mode='constant')\n        if ndim == 2:\n            ax = fig.add_subplot(1, num_subplots, n + 1)\n            ax.imshow(fp, cmap=cmap, vmin=0, vmax=1)\n        else:\n            ax = fig.add_subplot(1, num_subplots, n + 1, projection=Axes3D.name)\n            ax.voxels(fp, cmap=cmap)\n        title = f\"element {n + 1} of {num_seq}\\n({num_reps} iteration\"\n        title += \"s)\" if num_reps > 1 else \")\"\n        ax.set_title(title, fontdict=fontdict)\n        ax.set_axis_off()\n        ax.set_xlabel(f'num_reps = {num_reps}')\n    fig.tight_layout()\n\n    # draw a line separating the sequence elements from the composite\n    line_pos = num_seq / num_subplots\n    line = plt.Line2D([line_pos, line_pos], [0, 1], color=\"black\")\n    fig.add_artist(line)\n\nplt.show()"
+        "import numpy as np\nimport matplotlib.pyplot as plt\nfrom matplotlib import colors\nfrom mpl_toolkits.mplot3d import Axes3D\n\nfrom skimage.morphology import (\n    ball,\n    diamond,\n    disk,\n    ellipse,\n    octagon,\n    octahedron,\n    footprint_rectangle,\n)\nfrom skimage.morphology.footprints import footprint_from_sequence\n\n\n# Generate 2D and 3D structuring elements.\nfootprint_dict = {\n    \"square 11x11 (separable)\": (\n        footprint_rectangle((11, 11), decomposition=None),\n        footprint_rectangle((11, 11), decomposition=\"separable\"),\n    ),\n    \"square 11x11 (sequence)\": (\n        footprint_rectangle((11, 11), decomposition=None),\n        footprint_rectangle((11, 11), decomposition=\"sequence\"),\n    ),\n    \"rectangle 7x11 (separable)\": (\n        footprint_rectangle((7, 11), decomposition=None),\n        footprint_rectangle((7, 11), decomposition=\"separable\"),\n    ),\n    \"rectangle 7x11 (sequence)\": (\n        footprint_rectangle((7, 11), decomposition=None),\n        footprint_rectangle((7, 11), decomposition=\"sequence\"),\n    ),\n    \"diamond(5) (sequence)\": (\n        diamond(5, decomposition=None),\n        diamond(5, decomposition=\"sequence\"),\n    ),\n    \"disk(7, strict_radius=False) (sequence)\": (\n        disk(7, strict_radius=False, decomposition=None),\n        disk(7, strict_radius=False, decomposition=\"sequence\"),\n    ),\n    \"disk(7, strict_radius=True) (crosses)\": (\n        disk(7, strict_radius=True, decomposition=None),\n        disk(7, strict_radius=True, decomposition=\"crosses\"),\n    ),\n    \"ellipse(4, 9) (crosses)\": (\n        ellipse(4, 9, decomposition=None),\n        ellipse(4, 9, decomposition=\"crosses\"),\n    ),\n    \"disk(20) (sequence)\": (\n        disk(20, strict_radius=False, decomposition=None),\n        disk(20, strict_radius=False, decomposition=\"sequence\"),\n    ),\n    \"octagon(7, 4) (sequence)\": (\n        octagon(7, 4, decomposition=None),\n        octagon(7, 4, decomposition=\"sequence\"),\n    ),\n    \"cube 11x11x11 (separable)\": (\n        footprint_rectangle((11, 11, 11), decomposition=None),\n        footprint_rectangle((11, 11, 11), decomposition=\"separable\"),\n    ),\n    \"cube 11x11x11 (sequence)\": (\n        footprint_rectangle((11, 11, 11), decomposition=None),\n        footprint_rectangle((11, 11, 11), decomposition=\"sequence\"),\n    ),\n    \"octahedron(7) (sequence)\": (\n        octahedron(7, decomposition=None),\n        octahedron(7, decomposition=\"sequence\"),\n    ),\n    \"ball(9) (sequence)\": (\n        ball(9, strict_radius=False, decomposition=None),\n        ball(9, strict_radius=False, decomposition=\"sequence\"),\n    ),\n}\n\n# Visualize the elements\n\n# binary white / blue colormap\ncmap = colors.ListedColormap(['white', (0.1216, 0.4706, 0.70588)])\n\nfontdict = dict(fontsize=16, fontweight='bold')\nfor title, (footprint, footprint_sequence) in footprint_dict.items():\n    ndim = footprint.ndim\n    num_seq = len(footprint_sequence)\n    approximate_decomposition = 'ball' in title or 'disk' in title or 'ellipse' in title\n    if approximate_decomposition:\n        # Two extra plot in approximate cases to show both:\n        # 1.) decomposition=None idea footprint\n        # 2.) actual composite footprint corresponding to the sequence\n        num_subplots = num_seq + 2\n    else:\n        # composite and decomposition=None are identical so only 1 extra plot\n        num_subplots = num_seq + 1\n    fig = plt.figure(figsize=(4 * num_subplots, 5))\n    if ndim == 2:\n        ax = fig.add_subplot(1, num_subplots, num_subplots)\n        ax.imshow(footprint, cmap=cmap, vmin=0, vmax=1)\n        if approximate_decomposition:\n            ax2 = fig.add_subplot(1, num_subplots, num_subplots - 1)\n            footprint_composite = footprint_from_sequence(footprint_sequence)\n            ax2.imshow(footprint_composite, cmap=cmap, vmin=0, vmax=1)\n\n    else:\n        ax = fig.add_subplot(1, num_subplots, num_subplots, projection=Axes3D.name)\n        ax.voxels(footprint, cmap=cmap)\n        if approximate_decomposition:\n            ax2 = fig.add_subplot(\n                1, num_subplots, num_subplots - 1, projection=Axes3D.name\n            )\n            footprint_composite = footprint_from_sequence(footprint_sequence)\n            ax2.voxels(footprint_composite, cmap=cmap)\n\n    title1 = title.split(' (')[0]\n    if approximate_decomposition:\n        # plot decomposition=None on a separate axis from the composite\n        title = title1 + '\\n(decomposition=None)'\n    else:\n        # for exact cases composite and decomposition=None are identical\n        title = title1 + '\\n(composite)'\n    ax.set_title(title, fontdict=fontdict)\n    ax.set_axis_off()\n    if approximate_decomposition:\n        ax2.set_title(title1 + '\\n(composite)', fontdict=fontdict)\n        ax2.set_axis_off()\n\n    for n, (fp, num_reps) in enumerate(footprint_sequence):\n        npad = [((footprint.shape[d] - fp.shape[d]) // 2,) * 2 for d in range(ndim)]\n        fp = np.pad(fp, npad, mode='constant')\n        if ndim == 2:\n            ax = fig.add_subplot(1, num_subplots, n + 1)\n            ax.imshow(fp, cmap=cmap, vmin=0, vmax=1)\n        else:\n            ax = fig.add_subplot(1, num_subplots, n + 1, projection=Axes3D.name)\n            ax.voxels(fp, cmap=cmap)\n        title = f\"element {n + 1} of {num_seq}\\n({num_reps} iteration\"\n        title += \"s)\" if num_reps > 1 else \")\"\n        ax.set_title(title, fontdict=fontdict)\n        ax.set_axis_off()\n        ax.set_xlabel(f'num_reps = {num_reps}')\n    fig.tight_layout()\n\n    # draw a line separating the sequence elements from the composite\n    line_pos = num_seq / num_subplots\n    line = plt.Line2D([line_pos, line_pos], [0, 1], color=\"black\")\n    fig.add_artist(line)\n\nplt.show()"
       ]
     }
   ],

diff --git a/dev/_downloads/502f94536ac757fcf4b60d17c5c30574/plot_random_shapes.zip b/dev/_downloads/502f94536ac757fcf4b60d17c5c30574/plot_random_shapes.zip
diff --git a/dev/_downloads/532e1db6c6af5c100869c32c06110c9a/plot_window.zip b/dev/_downloads/532e1db6c6af5c100869c32c06110c9a/plot_window.zip
diff --git a/dev/_downloads/53eeae12197045159a0e86c3bacf0358/plot_censure.zip b/dev/_downloads/53eeae12197045159a0e86c3bacf0358/plot_censure.zip
diff --git a/dev/_downloads/5518ee319144e45d399ba8188911a6f1/plot_rgb_to_hsv.zip b/dev/_downloads/5518ee319144e45d399ba8188911a6f1/plot_rgb_to_hsv.zip
diff --git a/dev/_downloads/55e0d689b02ea832d1acd09eb9e9c282/plot_remove_objects.zip b/dev/_downloads/55e0d689b02ea832d1acd09eb9e9c282/plot_remove_objects.zip
diff --git a/dev/_downloads/568d610c7c713507d88b24789da98803/plot_j_invariant.zip b/dev/_downloads/568d610c7c713507d88b24789da98803/plot_j_invariant.zip
diff --git a/...nloads/56a2bd974de59798c7602b207c0267cb/plot_haar_extraction_selection_classification.zip b/...nloads/56a2bd974de59798c7602b207c0267cb/plot_haar_extraction_selection_classification.zip
diff --git a/dev/_downloads/56ad03d31a172b94923ba04bff5517e2/plot_attribute_operators.zip b/dev/_downloads/56ad03d31a172b94923ba04bff5517e2/plot_attribute_operators.zip
diff --git a/dev/_downloads/571ff4c15f6095ba0e9b45bdc7ccf5e2/plot_structuring_elements.ipynb b/dev/_downloads/571ff4c15f6095ba0e9b45bdc7ccf5e2/plot_structuring_elements.ipynb
@@ -15,7 +15,7 @@
       },
       "outputs": [],
       "source": [
-        "import matplotlib.pyplot as plt\nfrom mpl_toolkits.mplot3d import Axes3D\n\nfrom skimage.morphology import (\n    square,\n    rectangle,\n    diamond,\n    disk,\n    cube,\n    octahedron,\n    ball,\n    octagon,\n    star,\n)\n\n# Generate 2D and 3D structuring elements.\nstruc_2d = {\n    \"square(15)\": square(15),\n    \"rectangle(15, 10)\": rectangle(15, 10),\n    \"diamond(7)\": diamond(7),\n    \"disk(7)\": disk(7),\n    \"octagon(7, 4)\": octagon(7, 4),\n    \"star(5)\": star(5),\n}\n\nstruc_3d = {\"cube(11)\": cube(11), \"octahedron(5)\": octahedron(5), \"ball(5)\": ball(5)}\n\n# Visualize the elements.\nfig = plt.figure(figsize=(8, 8))\n\nidx = 1\nfor title, struc in struc_2d.items():\n    ax = fig.add_subplot(3, 3, idx)\n    ax.imshow(struc, cmap=\"Paired\", vmin=0, vmax=12)\n    for i in range(struc.shape[0]):\n        for j in range(struc.shape[1]):\n            ax.text(j, i, struc[i, j], ha=\"center\", va=\"center\", color=\"w\")\n    ax.set_axis_off()\n    ax.set_title(title)\n    idx += 1\n\nfor title, struc in struc_3d.items():\n    ax = fig.add_subplot(3, 3, idx, projection=Axes3D.name)\n    ax.voxels(struc)\n    ax.set_title(title)\n    idx += 1\n\nfig.tight_layout()\nplt.show()"
+        "import matplotlib.pyplot as plt\nfrom mpl_toolkits.mplot3d import Axes3D\n\nfrom skimage.morphology import (\n    footprint_rectangle,\n    diamond,\n    disk,\n    octahedron,\n    ball,\n    octagon,\n    star,\n)\n\n# Generate 2D and 3D structuring elements.\nstruc_2d = {\n    \"square 15x15\": footprint_rectangle((15, 15)),\n    \"rectangle 15x10\": footprint_rectangle((15, 10)),\n    \"diamond(7)\": diamond(7),\n    \"disk(7)\": disk(7),\n    \"octagon(7, 4)\": octagon(7, 4),\n    \"star(5)\": star(5),\n}\n\nstruc_3d = {\n    \"cube 11x11x11\": footprint_rectangle((11, 11, 11)),\n    \"octahedron(5)\": octahedron(5),\n    \"ball(5)\": ball(5),\n}\n\n# Visualize the elements.\nfig = plt.figure(figsize=(8, 8))\n\nidx = 1\nfor title, struc in struc_2d.items():\n    ax = fig.add_subplot(3, 3, idx)\n    ax.imshow(struc, cmap=\"Paired\", vmin=0, vmax=12)\n    for i in range(struc.shape[0]):\n        for j in range(struc.shape[1]):\n            ax.text(j, i, struc[i, j], ha=\"center\", va=\"center\", color=\"w\")\n    ax.set_axis_off()\n    ax.set_title(title)\n    idx += 1\n\nfor title, struc in struc_3d.items():\n    ax = fig.add_subplot(3, 3, idx, projection=Axes3D.name)\n    ax.voxels(struc)\n    ax.set_title(title)\n    idx += 1\n\nfig.tight_layout()\nplt.show()"
       ]
     }
   ],

diff --git a/dev/_downloads/5819ddd1893178cb9bfb348dbb30ba84/plot_colocalization_metrics.zip b/dev/_downloads/5819ddd1893178cb9bfb348dbb30ba84/plot_colocalization_metrics.zip
diff --git a/dev/_downloads/581d86ae9a382712b81d1469c278297b/plot_rag_merge.zip b/dev/_downloads/581d86ae9a382712b81d1469c278297b/plot_rag_merge.zip
diff --git a/dev/_downloads/5c98bf180ad04053ef8fbed88f1b0b68/plot_marked_watershed.zip b/dev/_downloads/5c98bf180ad04053ef8fbed88f1b0b68/plot_marked_watershed.zip
diff --git a/dev/_downloads/5d9382bb3445ac0c9bd294e4251fb2cd/numpy_images-1.hires.png b/dev/_downloads/5d9382bb3445ac0c9bd294e4251fb2cd/numpy_images-1.hires.png
diff --git a/dev/_downloads/6075c8a6cbf1a8e3b5dbfc01fb9d06cc/plot_label.zip b/dev/_downloads/6075c8a6cbf1a8e3b5dbfc01fb9d06cc/plot_label.zip
diff --git a/dev/_downloads/6157946ba3778ef873e525c8fdbaeccc/plot_human_mitosis.zip b/dev/_downloads/6157946ba3778ef873e525c8fdbaeccc/plot_human_mitosis.zip
diff --git a/dev/_downloads/62ec2c6a600be3291658e64518c28190/plot_multiblock_local_binary_pattern.zip b/dev/_downloads/62ec2c6a600be3291658e64518c28190/plot_multiblock_local_binary_pattern.zip
diff --git a/dev/_downloads/62edb8001207ada4c1e265eba86bcdd0/plot_glcm.zip b/dev/_downloads/62edb8001207ada4c1e265eba86bcdd0/plot_glcm.zip
diff --git a/dev/_downloads/674a90c8172506dd6fffc92054bb5ade/plot_sift.zip b/dev/_downloads/674a90c8172506dd6fffc92054bb5ade/plot_sift.zip
diff --git a/dev/_downloads/6a496ba0640620e4f79234c0dca2e3c6/plot_stitching.zip b/dev/_downloads/6a496ba0640620e4f79234c0dca2e3c6/plot_stitching.zip
diff --git a/dev/_downloads/6db4a5b46e2d8554022c19743e01ba2a/plot_thresholding_guide.zip b/dev/_downloads/6db4a5b46e2d8554022c19743e01ba2a/plot_thresholding_guide.zip
diff --git a/dev/_downloads/6efe0e99be291b3c9247d41f96649c5a/plot_geometric.zip b/dev/_downloads/6efe0e99be291b3c9247d41f96649c5a/plot_geometric.zip
diff --git a/dev/_downloads/6f1e7a639e0699d6164445b55e6c116d/auto_examples_jupyter.zip b/dev/_downloads/6f1e7a639e0699d6164445b55e6c116d/auto_examples_jupyter.zip
diff --git a/dev/_downloads/6f564cd534a37cf667b80a4a530c1306/plot_rag_boundary.zip b/dev/_downloads/6f564cd534a37cf667b80a4a530c1306/plot_rag_boundary.zip
diff --git a/dev/_downloads/7801e416fd9b72c58afb847742604ac2/plot_brief.zip b/dev/_downloads/7801e416fd9b72c58afb847742604ac2/plot_brief.zip
diff --git a/dev/_downloads/780f6b83c4e170ba63a0fb626ee1554d/plot_image_comparison.zip b/dev/_downloads/780f6b83c4e170ba63a0fb626ee1554d/plot_image_comparison.zip
diff --git a/dev/_downloads/7865d6e33172cbb4bd46c79418979cd6/plot_hog.zip b/dev/_downloads/7865d6e33172cbb4bd46c79418979cd6/plot_hog.zip
diff --git a/dev/_downloads/7a566f50617c6ab140b4d46d578c6902/plot_corner.zip b/dev/_downloads/7a566f50617c6ab140b4d46d578c6902/plot_corner.zip
diff --git a/dev/_downloads/7a662992cea3f63b60cb923ca4af70b0/plot_marching_cubes.zip b/dev/_downloads/7a662992cea3f63b60cb923ca4af70b0/plot_marching_cubes.zip
diff --git a/dev/_downloads/7ae48377f8194d4467edddc1f552bd5f/plot_nonlocal_means.zip b/dev/_downloads/7ae48377f8194d4467edddc1f552bd5f/plot_nonlocal_means.zip
diff --git a/dev/_downloads/7bd66f59412881e66734e8b400ec9c39/plot_thresholding.zip b/dev/_downloads/7bd66f59412881e66734e8b400ec9c39/plot_thresholding.zip
diff --git a/dev/_downloads/7c7c62f5cd41b6afc276b861d4ec1006/plot_swirl.zip b/dev/_downloads/7c7c62f5cd41b6afc276b861d4ec1006/plot_swirl.zip
diff --git a/dev/_downloads/7e0180e2d45aacec1370a851786ef5fd/plot_holes_and_peaks.zip b/dev/_downloads/7e0180e2d45aacec1370a851786ef5fd/plot_holes_and_peaks.zip
diff --git a/dev/_downloads/7e8ec80e903bacdb16f36deb2adf71ee/plot_pyramid.zip b/dev/_downloads/7e8ec80e903bacdb16f36deb2adf71ee/plot_pyramid.zip
diff --git a/dev/_downloads/811b5f6cd644adc5e681a9ca8b5a43af/plot_windowed_histogram.zip b/dev/_downloads/811b5f6cd644adc5e681a9ca8b5a43af/plot_windowed_histogram.zip
diff --git a/dev/_downloads/83311ac49ae6b05bfc60704e49f8dca0/plot_scientific.zip b/dev/_downloads/83311ac49ae6b05bfc60704e49f8dca0/plot_scientific.zip
diff --git a/dev/_downloads/83d5e47966dda1550e64077775fde340/plot_metrics.zip b/dev/_downloads/83d5e47966dda1550e64077775fde340/plot_metrics.zip
diff --git a/dev/_downloads/83dd6a6d533ca3e1c35ee0256b87c6fb/plot_extrema.zip b/dev/_downloads/83dd6a6d533ca3e1c35ee0256b87c6fb/plot_extrema.zip
diff --git a/dev/_downloads/84ac4bc63690861ad84ab1ab53ccb194/plot_ssim.zip b/dev/_downloads/84ac4bc63690861ad84ab1ab53ccb194/plot_ssim.zip
diff --git a/dev/_downloads/87c5c174b87ba629a03cce942ae75dc4/plot_structuring_elements.zip b/dev/_downloads/87c5c174b87ba629a03cce942ae75dc4/plot_structuring_elements.zip
diff --git a/dev/_downloads/8831d8ef8d65859bb9a5c6c737d47156/plot_local_equalize.zip b/dev/_downloads/8831d8ef8d65859bb9a5c6c737d47156/plot_local_equalize.zip
diff --git a/dev/_downloads/8cc7399942d75e6f060d3f1de95a1fad/plot_label.py b/dev/_downloads/8cc7399942d75e6f060d3f1de95a1fad/plot_label.py
@@ -19,15 +19,15 @@
 from skimage.filters import threshold_otsu
 from skimage.segmentation import clear_border
 from skimage.measure import label, regionprops
-from skimage.morphology import closing, square
+from skimage.morphology import closing, footprint_rectangle
 from skimage.color import label2rgb
 
 
 image = data.coins()[50:-50, 50:-50]
 
 # apply threshold
 thresh = threshold_otsu(image)
-bw = closing(image > thresh, square(3))
+bw = closing(image > thresh, footprint_rectangle((3, 3)))
 
 # remove artifacts connected to image border
 cleared = clear_border(bw)

diff --git a/dev/_downloads/8ed4ec00468eb8ddce529760b6563629/plot_unsharp_mask.zip b/dev/_downloads/8ed4ec00468eb8ddce529760b6563629/plot_unsharp_mask.zip
diff --git a/dev/_downloads/8f7bc48549498a6d4660016a0035ab57/plot_daisy.zip b/dev/_downloads/8f7bc48549498a6d4660016a0035ab57/plot_daisy.zip
diff --git a/dev/_downloads/911a5321e19ba6b63f6a5825dffeb87f/plot_template.zip b/dev/_downloads/911a5321e19ba6b63f6a5825dffeb87f/plot_template.zip
diff --git a/dev/_downloads/92d12b6de57684e982321ec80a4fbe34/plot_opticalflow.zip b/dev/_downloads/92d12b6de57684e982321ec80a4fbe34/plot_opticalflow.zip
diff --git a/dev/_downloads/95603ad6e142953ca5c7c92dba045f85/plot_shapes.zip b/dev/_downloads/95603ad6e142953ca5c7c92dba045f85/plot_shapes.zip
diff --git a/dev/_downloads/957821122f19901f51e8b7e317efcf39/plot_gabors_from_astronaut.zip b/dev/_downloads/957821122f19901f51e8b7e317efcf39/plot_gabors_from_astronaut.zip
diff --git a/dev/_downloads/9648d247bf2da5b7e84b69686686bcb7/plot_join_segmentations.zip b/dev/_downloads/9648d247bf2da5b7e84b69686686bcb7/plot_join_segmentations.zip
diff --git a/dev/_downloads/97803bd5c01c23129b900fa88188c5b8/plot_log_gamma.zip b/dev/_downloads/97803bd5c01c23129b900fa88188c5b8/plot_log_gamma.zip
diff --git a/dev/_downloads/97ed7bfe82f8a2bce81c76ada343c7e5/plot_tophat.zip b/dev/_downloads/97ed7bfe82f8a2bce81c76ada343c7e5/plot_tophat.zip
diff --git a/dev/_downloads/9a53a1869d6d4cfdded427904e41e960/plot_masked_register_translation.zip b/dev/_downloads/9a53a1869d6d4cfdded427904e41e960/plot_masked_register_translation.zip
diff --git a/dev/_downloads/9a7817324b600b20fcac949394756494/plot_edge_modes.zip b/dev/_downloads/9a7817324b600b20fcac949394756494/plot_edge_modes.zip
diff --git a/dev/_downloads/9bae2268f4b564981e834bb081fbc4ad/plot_butterworth.zip b/dev/_downloads/9bae2268f4b564981e834bb081fbc4ad/plot_butterworth.zip
diff --git a/dev/_downloads/9dd341ded3ffc835834ea274cccde3d0/plot_random_walker_segmentation.zip b/dev/_downloads/9dd341ded3ffc835834ea274cccde3d0/plot_random_walker_segmentation.zip
diff --git a/dev/_downloads/9e38ae787a295633430a559303d658ae/plot_haar.zip b/dev/_downloads/9e38ae787a295633430a559303d658ae/plot_haar.zip
diff --git a/dev/_downloads/a41a54b3a07c6af099ce51cc24534687/plot_regionprops.zip b/dev/_downloads/a41a54b3a07c6af099ce51cc24534687/plot_regionprops.zip
diff --git a/dev/_downloads/a5287a8217a5193c809be5c51fe4be43/numpy_images-1.pdf b/dev/_downloads/a5287a8217a5193c809be5c51fe4be43/numpy_images-1.pdf
diff --git a/dev/_downloads/a5684fb8f3e8753ad271095e1cb16eb4/plot_local_binary_pattern.zip b/dev/_downloads/a5684fb8f3e8753ad271095e1cb16eb4/plot_local_binary_pattern.zip
diff --git a/dev/_downloads/a674b2c6109441c3ff2a359e7f009c50/plot_niblack_sauvola.zip b/dev/_downloads/a674b2c6109441c3ff2a359e7f009c50/plot_niblack_sauvola.zip
diff --git a/dev/_downloads/a67faa18ea79268529b013936cec5a97/plot_segmentations.zip b/dev/_downloads/a67faa18ea79268529b013936cec5a97/plot_segmentations.zip
diff --git a/dev/_downloads/aad9bf0d8fe9ccc689047695a011402d/plot_matching.zip b/dev/_downloads/aad9bf0d8fe9ccc689047695a011402d/plot_matching.zip
diff --git a/dev/_downloads/ab108a5da35684804140d28bd689d98f/plot_peak_local_max.zip b/dev/_downloads/ab108a5da35684804140d28bd689d98f/plot_peak_local_max.zip
diff --git a/dev/_downloads/abe1db5addf1696113219dee36acc35e/plot_rag_draw.zip b/dev/_downloads/abe1db5addf1696113219dee36acc35e/plot_rag_draw.zip
diff --git a/dev/_downloads/ad4cdb46211955bdcb2e2bc6f81f9086/plot_histogram_matching.zip b/dev/_downloads/ad4cdb46211955bdcb2e2bc6f81f9086/plot_histogram_matching.zip
diff --git a/dev/_downloads/b0acbedce68903b495f2b5d85289e7dc/plot_general.zip b/dev/_downloads/b0acbedce68903b495f2b5d85289e7dc/plot_general.zip
diff --git a/dev/_downloads/b2db3aef6087136ce3276f6308232516/plot_face_detection.zip b/dev/_downloads/b2db3aef6087136ce3276f6308232516/plot_face_detection.zip
diff --git a/dev/_downloads/b4e96caebc2faa37f05c2e9e9eb2941c/numpy_images-1.png b/dev/_downloads/b4e96caebc2faa37f05c2e9e9eb2941c/numpy_images-1.png
diff --git a/dev/_downloads/b5c64b301a7818f56994516538f206b2/plot_adapt_rgb.zip b/dev/_downloads/b5c64b301a7818f56994516538f206b2/plot_adapt_rgb.zip
diff --git a/dev/_downloads/b625c639e7e41e8b7b8d33bd6eb36cd1/plot_denoise_wavelet.zip b/dev/_downloads/b625c639e7e41e8b7b8d33bd6eb36cd1/plot_denoise_wavelet.zip
diff --git a/dev/_downloads/b62cc96f05a3dbc0b50e9af42bba7f4c/plot_footprint_decompositions.py b/dev/_downloads/b62cc96f05a3dbc0b50e9af42bba7f4c/plot_footprint_decompositions.py
@@ -39,35 +39,33 @@
 
 from skimage.morphology import (
     ball,
-    cube,
     diamond,
     disk,
     ellipse,
     octagon,
     octahedron,
-    rectangle,
-    square,
+    footprint_rectangle,
 )
 from skimage.morphology.footprints import footprint_from_sequence
 
 
 # Generate 2D and 3D structuring elements.
 footprint_dict = {
-    "square(11) (separable)": (
-        square(11, decomposition=None),
-        square(11, decomposition="separable"),
+    "square 11x11 (separable)": (
+        footprint_rectangle((11, 11), decomposition=None),
+        footprint_rectangle((11, 11), decomposition="separable"),
     ),
-    "square(11) (sequence)": (
-        square(11, decomposition=None),
-        square(11, decomposition="sequence"),
+    "square 11x11 (sequence)": (
+        footprint_rectangle((11, 11), decomposition=None),
+        footprint_rectangle((11, 11), decomposition="sequence"),
     ),
-    "rectangle(7, 11) (separable)": (
-        rectangle(7, 11, decomposition=None),
-        rectangle(7, 11, decomposition="separable"),
+    "rectangle 7x11 (separable)": (
+        footprint_rectangle((7, 11), decomposition=None),
+        footprint_rectangle((7, 11), decomposition="separable"),
     ),
-    "rectangle(7, 11) (sequence)": (
-        rectangle(7, 11, decomposition=None),
-        rectangle(7, 11, decomposition="sequence"),
+    "rectangle 7x11 (sequence)": (
+        footprint_rectangle((7, 11), decomposition=None),
+        footprint_rectangle((7, 11), decomposition="sequence"),
     ),
     "diamond(5) (sequence)": (
         diamond(5, decomposition=None),
@@ -93,13 +91,13 @@
         octagon(7, 4, decomposition=None),
         octagon(7, 4, decomposition="sequence"),
     ),
-    "cube(11) (separable)": (
-        cube(11, decomposition=None),
-        cube(11, decomposition="separable"),
+    "cube 11x11x11 (separable)": (
+        footprint_rectangle((11, 11, 11), decomposition=None),
+        footprint_rectangle((11, 11, 11), decomposition="separable"),
     ),
-    "cube(11) (sequence)": (
-        cube(11, decomposition=None),
-        cube(11, decomposition="sequence"),
+    "cube 11x11x11 (sequence)": (
+        footprint_rectangle((11, 11, 11), decomposition=None),
+        footprint_rectangle((11, 11, 11), decomposition="sequence"),
     ),
     "octahedron(7) (sequence)": (
         octahedron(7, decomposition=None),

diff --git a/dev/_downloads/b6d09b73d75df9f14a44db0b3402487a/plot_contours.zip b/dev/_downloads/b6d09b73d75df9f14a44db0b3402487a/plot_contours.zip
diff --git a/dev/_downloads/b722e594e56fc737db2b2f31e82a3dab/plot_specific.zip b/dev/_downloads/b722e594e56fc737db2b2f31e82a3dab/plot_specific.zip
diff --git a/dev/_downloads/bb8659e1ede734bd3b962dc34746ee6b/plot_pixel_graphs.zip b/dev/_downloads/bb8659e1ede734bd3b962dc34746ee6b/plot_pixel_graphs.zip
diff --git a/dev/_downloads/bc07b091ce1c920584d478f1db3da2ca/plot_camera_numpy.zip b/dev/_downloads/bc07b091ce1c920584d478f1db3da2ca/plot_camera_numpy.zip
diff --git a/dev/_downloads/bc750fd763b68e0428d22696cf69565f/plot_morphsnakes.zip b/dev/_downloads/bc750fd763b68e0428d22696cf69565f/plot_morphsnakes.zip
diff --git a/dev/_downloads/bc7f0cfee866ba76834bd4bac9e07e16/plot_perimeters.zip b/dev/_downloads/bc7f0cfee866ba76834bd4bac9e07e16/plot_perimeters.zip
diff --git a/dev/_downloads/bd46699a0f4a356cbc1c5e6a48582965/plot_tinting_grayscale_images.zip b/dev/_downloads/bd46699a0f4a356cbc1c5e6a48582965/plot_tinting_grayscale_images.zip
diff --git a/dev/_downloads/bfbeb781b8a850ba4db1456265dd3b9b/plot_orb.zip b/dev/_downloads/bfbeb781b8a850ba4db1456265dd3b9b/plot_orb.zip
diff --git a/dev/_downloads/c02fc89e9ddaeadd427d71859aa27457/plot_euler_number.zip b/dev/_downloads/c02fc89e9ddaeadd427d71859aa27457/plot_euler_number.zip
diff --git a/dev/_downloads/c234ae12b2177c9f82e3f79e1bbe837e/plot_rank_mean.zip b/dev/_downloads/c234ae12b2177c9f82e3f79e1bbe837e/plot_rank_mean.zip