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scikit-image · Oct 11, 2024 · 72b468c · 72b468c
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diff --git a/dev/_downloads/00d929af82f15e4a9e4fa184af4f8bc2/plot_nonlocal_means.py b/dev/_downloads/00d929af82f15e4a9e4fa184af4f8bc2/plot_nonlocal_means.py
@@ -51,9 +51,9 @@
 print(f'estimated noise standard deviation = {sigma_est}')
 
 patch_kw = dict(
-    patch_size=5,
-    patch_distance=6,
-    channel_axis=-1,  # 5x5 patches  # 13x13 search area
+    patch_size=5,  # 5x5 patches
+    patch_distance=6,  # 13x13 search area
+    channel_axis=-1,
 )
 
 # slow algorithm

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/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/502f94536ac757fcf4b60d17c5c30574/plot_random_shapes.zip b/dev/_downloads/502f94536ac757fcf4b60d17c5c30574/plot_random_shapes.zip
diff --git a/dev/_downloads/50750e1c6c5c3dae31ccb55209fee7b3/plot_nonlocal_means.ipynb b/dev/_downloads/50750e1c6c5c3dae31ccb55209fee7b3/plot_nonlocal_means.ipynb
@@ -15,7 +15,7 @@
       },
       "outputs": [],
       "source": [
-        "import numpy as np\nimport matplotlib.pyplot as plt\n\nfrom skimage import data, img_as_float\nfrom skimage.restoration import denoise_nl_means, estimate_sigma\nfrom skimage.metrics import peak_signal_noise_ratio\nfrom skimage.util import random_noise\n\n\nastro = img_as_float(data.astronaut())\nastro = astro[30:180, 150:300]\n\nsigma = 0.08\nnoisy = random_noise(astro, var=sigma**2)\n\n# estimate the noise standard deviation from the noisy image\nsigma_est = np.mean(estimate_sigma(noisy, channel_axis=-1))\nprint(f'estimated noise standard deviation = {sigma_est}')\n\npatch_kw = dict(\n    patch_size=5,\n    patch_distance=6,\n    channel_axis=-1,  # 5x5 patches  # 13x13 search area\n)\n\n# slow algorithm\ndenoise = denoise_nl_means(noisy, h=1.15 * sigma_est, fast_mode=False, **patch_kw)\n\n# slow algorithm, sigma provided\ndenoise2 = denoise_nl_means(\n    noisy, h=0.8 * sigma_est, sigma=sigma_est, fast_mode=False, **patch_kw\n)\n\n# fast algorithm\ndenoise_fast = denoise_nl_means(noisy, h=0.8 * sigma_est, fast_mode=True, **patch_kw)\n\n# fast algorithm, sigma provided\ndenoise2_fast = denoise_nl_means(\n    noisy, h=0.6 * sigma_est, sigma=sigma_est, fast_mode=True, **patch_kw\n)\n\nfig, ax = plt.subplots(nrows=2, ncols=3, figsize=(8, 6), sharex=True, sharey=True)\n\nax[0, 0].imshow(noisy)\nax[0, 0].axis('off')\nax[0, 0].set_title('noisy')\nax[0, 1].imshow(denoise)\nax[0, 1].axis('off')\nax[0, 1].set_title('non-local means\\n(slow)')\nax[0, 2].imshow(denoise2)\nax[0, 2].axis('off')\nax[0, 2].set_title('non-local means\\n(slow, using $\\\\sigma_{est}$)')\nax[1, 0].imshow(astro)\nax[1, 0].axis('off')\nax[1, 0].set_title('original\\n(noise free)')\nax[1, 1].imshow(denoise_fast)\nax[1, 1].axis('off')\nax[1, 1].set_title('non-local means\\n(fast)')\nax[1, 2].imshow(denoise2_fast)\nax[1, 2].axis('off')\nax[1, 2].set_title('non-local means\\n(fast, using $\\\\sigma_{est}$)')\n\nfig.tight_layout()\n\n# print PSNR metric for each case\npsnr_noisy = peak_signal_noise_ratio(astro, noisy)\npsnr = peak_signal_noise_ratio(astro, denoise)\npsnr2 = peak_signal_noise_ratio(astro, denoise2)\npsnr_fast = peak_signal_noise_ratio(astro, denoise_fast)\npsnr2_fast = peak_signal_noise_ratio(astro, denoise2_fast)\n\nprint(f'PSNR (noisy) = {psnr_noisy:0.2f}')\nprint(f'PSNR (slow) = {psnr:0.2f}')\nprint(f'PSNR (slow, using sigma) = {psnr2:0.2f}')\nprint(f'PSNR (fast) = {psnr_fast:0.2f}')\nprint(f'PSNR (fast, using sigma) = {psnr2_fast:0.2f}')\n\nplt.show()"
+        "import numpy as np\nimport matplotlib.pyplot as plt\n\nfrom skimage import data, img_as_float\nfrom skimage.restoration import denoise_nl_means, estimate_sigma\nfrom skimage.metrics import peak_signal_noise_ratio\nfrom skimage.util import random_noise\n\n\nastro = img_as_float(data.astronaut())\nastro = astro[30:180, 150:300]\n\nsigma = 0.08\nnoisy = random_noise(astro, var=sigma**2)\n\n# estimate the noise standard deviation from the noisy image\nsigma_est = np.mean(estimate_sigma(noisy, channel_axis=-1))\nprint(f'estimated noise standard deviation = {sigma_est}')\n\npatch_kw = dict(\n    patch_size=5,  # 5x5 patches\n    patch_distance=6,  # 13x13 search area\n    channel_axis=-1,\n)\n\n# slow algorithm\ndenoise = denoise_nl_means(noisy, h=1.15 * sigma_est, fast_mode=False, **patch_kw)\n\n# slow algorithm, sigma provided\ndenoise2 = denoise_nl_means(\n    noisy, h=0.8 * sigma_est, sigma=sigma_est, fast_mode=False, **patch_kw\n)\n\n# fast algorithm\ndenoise_fast = denoise_nl_means(noisy, h=0.8 * sigma_est, fast_mode=True, **patch_kw)\n\n# fast algorithm, sigma provided\ndenoise2_fast = denoise_nl_means(\n    noisy, h=0.6 * sigma_est, sigma=sigma_est, fast_mode=True, **patch_kw\n)\n\nfig, ax = plt.subplots(nrows=2, ncols=3, figsize=(8, 6), sharex=True, sharey=True)\n\nax[0, 0].imshow(noisy)\nax[0, 0].axis('off')\nax[0, 0].set_title('noisy')\nax[0, 1].imshow(denoise)\nax[0, 1].axis('off')\nax[0, 1].set_title('non-local means\\n(slow)')\nax[0, 2].imshow(denoise2)\nax[0, 2].axis('off')\nax[0, 2].set_title('non-local means\\n(slow, using $\\\\sigma_{est}$)')\nax[1, 0].imshow(astro)\nax[1, 0].axis('off')\nax[1, 0].set_title('original\\n(noise free)')\nax[1, 1].imshow(denoise_fast)\nax[1, 1].axis('off')\nax[1, 1].set_title('non-local means\\n(fast)')\nax[1, 2].imshow(denoise2_fast)\nax[1, 2].axis('off')\nax[1, 2].set_title('non-local means\\n(fast, using $\\\\sigma_{est}$)')\n\nfig.tight_layout()\n\n# print PSNR metric for each case\npsnr_noisy = peak_signal_noise_ratio(astro, noisy)\npsnr = peak_signal_noise_ratio(astro, denoise)\npsnr2 = peak_signal_noise_ratio(astro, denoise2)\npsnr_fast = peak_signal_noise_ratio(astro, denoise_fast)\npsnr2_fast = peak_signal_noise_ratio(astro, denoise2_fast)\n\nprint(f'PSNR (noisy) = {psnr_noisy:0.2f}')\nprint(f'PSNR (slow) = {psnr:0.2f}')\nprint(f'PSNR (slow, using sigma) = {psnr2:0.2f}')\nprint(f'PSNR (fast) = {psnr_fast:0.2f}')\nprint(f'PSNR (fast, using sigma) = {psnr2_fast:0.2f}')\n\nplt.show()"
       ]
     }
   ],

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/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/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/7692607b2cb8c87b1cc529af56520cbe/plot_morphology.ipynb b/dev/_downloads/7692607b2cb8c87b1cc529af56520cbe/plot_morphology.ipynb
@@ -51,7 +51,7 @@
       },
       "outputs": [],
       "source": [
-        "from skimage.morphology import erosion, dilation, opening, closing, white_tophat  # noqa\nfrom skimage.morphology import black_tophat, skeletonize, convex_hull_image  # noqa\nfrom skimage.morphology import disk  # noqa\n\nfootprint = disk(6)\neroded = erosion(orig_phantom, footprint)\nplot_comparison(orig_phantom, eroded, 'erosion')"
+        "from skimage.morphology import erosion, dilation, opening, closing, white_tophat\nfrom skimage.morphology import black_tophat, skeletonize, convex_hull_image\nfrom skimage.morphology import disk\n\nfootprint = disk(6)\neroded = erosion(orig_phantom, footprint)\nplot_comparison(orig_phantom, eroded, 'erosion')"
       ]
     },
     {

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
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diff --git a/dev/_downloads/d4d49ef21a9216d90cc7e35296f1dcec/plot_convex_hull.zip b/dev/_downloads/d4d49ef21a9216d90cc7e35296f1dcec/plot_convex_hull.zip
diff --git a/dev/_downloads/d91fac046ef1641257342d1f7e4f0b40/plot_ridge_filter.zip b/dev/_downloads/d91fac046ef1641257342d1f7e4f0b40/plot_ridge_filter.zip
diff --git a/dev/_downloads/da117642d690ef03afea72d572a2e219/plot_deconvolution.zip b/dev/_downloads/da117642d690ef03afea72d572a2e219/plot_deconvolution.zip
diff --git a/dev/_downloads/da5920219efbd9a188b2cba8d48efc59/plot_floodfill.zip b/dev/_downloads/da5920219efbd9a188b2cba8d48efc59/plot_floodfill.zip
diff --git a/dev/_downloads/db5bf5f616f4f7cd75ad3fb584d08c74/plot_morphology.py b/dev/_downloads/db5bf5f616f4f7cd75ad3fb584d08c74/plot_morphology.py
@@ -57,9 +57,9 @@ def plot_comparison(original, filtered, filter_name):
 # neighborhood. Below, we use ``disk`` to create a circular structuring
 # element, which we use for most of the following examples.
 
-from skimage.morphology import erosion, dilation, opening, closing, white_tophat  # noqa
-from skimage.morphology import black_tophat, skeletonize, convex_hull_image  # noqa
-from skimage.morphology import disk  # noqa
+from skimage.morphology import erosion, dilation, opening, closing, white_tophat
+from skimage.morphology import black_tophat, skeletonize, convex_hull_image
+from skimage.morphology import disk
 
 footprint = disk(6)
 eroded = erosion(orig_phantom, footprint)

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diff --git a/dev/_images/sphx_glr_plot_rank_filters_003.png b/dev/_images/sphx_glr_plot_rank_filters_003.png
diff --git a/dev/_images/sphx_glr_plot_rank_filters_015.png b/dev/_images/sphx_glr_plot_rank_filters_015.png
diff --git a/dev/_images/sphx_glr_plot_rank_filters_016.png b/dev/_images/sphx_glr_plot_rank_filters_016.png
diff --git a/dev/_images/sphx_glr_plot_rank_filters_017.png b/dev/_images/sphx_glr_plot_rank_filters_017.png
diff --git a/dev/_images/sphx_glr_plot_rank_filters_019.png b/dev/_images/sphx_glr_plot_rank_filters_019.png
diff --git a/dev/_images/sphx_glr_plot_ransac_001.png b/dev/_images/sphx_glr_plot_ransac_001.png
diff --git a/dev/_images/sphx_glr_plot_ransac_002.png b/dev/_images/sphx_glr_plot_ransac_002.png
diff --git a/dev/_images/sphx_glr_plot_ransac_thumb.png b/dev/_images/sphx_glr_plot_ransac_thumb.png
diff --git a/dev/_images/sphx_glr_plot_regionprops_table_001.png b/dev/_images/sphx_glr_plot_regionprops_table_001.png
diff --git a/dev/_images/sphx_glr_plot_regionprops_table_002.png b/dev/_images/sphx_glr_plot_regionprops_table_002.png
diff --git a/dev/_images/sphx_glr_plot_regionprops_table_003.png b/dev/_images/sphx_glr_plot_regionprops_table_003.png
diff --git a/dev/_images/sphx_glr_plot_regionprops_table_thumb.png b/dev/_images/sphx_glr_plot_regionprops_table_thumb.png
diff --git a/dev/_images/sphx_glr_plot_restoration_001.png b/dev/_images/sphx_glr_plot_restoration_001.png
diff --git a/dev/_images/sphx_glr_plot_restoration_thumb.png b/dev/_images/sphx_glr_plot_restoration_thumb.png
diff --git a/dev/_images/sphx_glr_plot_shape_index_001.png b/dev/_images/sphx_glr_plot_shape_index_001.png
diff --git a/dev/_images/sphx_glr_plot_shape_index_thumb.png b/dev/_images/sphx_glr_plot_shape_index_thumb.png
diff --git a/dev/_images/sphx_glr_plot_sift_001.png b/dev/_images/sphx_glr_plot_sift_001.png
diff --git a/dev/_images/sphx_glr_plot_sift_thumb.png b/dev/_images/sphx_glr_plot_sift_thumb.png
diff --git a/dev/_images/sphx_glr_plot_skeleton_003.png b/dev/_images/sphx_glr_plot_skeleton_003.png
diff --git a/dev/_images/sphx_glr_plot_ssim_001.png b/dev/_images/sphx_glr_plot_ssim_001.png
diff --git a/dev/_images/sphx_glr_plot_ssim_thumb.png b/dev/_images/sphx_glr_plot_ssim_thumb.png
diff --git a/dev/_images/sphx_glr_plot_stitching_001.png b/dev/_images/sphx_glr_plot_stitching_001.png
diff --git a/dev/_images/sphx_glr_plot_stitching_002.png b/dev/_images/sphx_glr_plot_stitching_002.png
diff --git a/dev/_images/sphx_glr_plot_stitching_thumb.png b/dev/_images/sphx_glr_plot_stitching_thumb.png
diff --git a/dev/_images/sphx_glr_plot_trainable_segmentation_001.png b/dev/_images/sphx_glr_plot_trainable_segmentation_001.png
diff --git a/dev/_images/sphx_glr_plot_trainable_segmentation_002.png b/dev/_images/sphx_glr_plot_trainable_segmentation_002.png
diff --git a/dev/_images/sphx_glr_plot_trainable_segmentation_003.png b/dev/_images/sphx_glr_plot_trainable_segmentation_003.png
diff --git a/dev/_images/sphx_glr_plot_trainable_segmentation_thumb.png b/dev/_images/sphx_glr_plot_trainable_segmentation_thumb.png
diff --git a/dev/_sources/auto_examples/applications/plot_3d_image_processing.rst.txt b/dev/_sources/auto_examples/applications/plot_3d_image_processing.rst.txt
@@ -351,7 +351,7 @@ will not work either.
 
             interactive(children=(IntSlider(value=34, description='plane', max=59), Output()), _dom_classes=('widget-interact',))
 
-    <function explore_slices.<locals>.display_slice at 0x7fc05c318e00>
+    <function explore_slices.<locals>.display_slice at 0x7fb9e2527560>
 
 
 
@@ -473,7 +473,7 @@ slices interactively.
 
             interactive(children=(IntSlider(value=34, description='plane', max=59), Output()), _dom_classes=('widget-interact',))
 
-    <function explore_slices.<locals>.display_slice at 0x7fc05c5cad40>
+    <function explore_slices.<locals>.display_slice at 0x7fb9e1e02ca0>
 
 
 
@@ -584,7 +584,7 @@ Note that this works in a static HTML page!
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 7.300 seconds)
+   **Total running time of the script:** (0 minutes 7.367 seconds)
 
 
 .. _sphx_glr_download_auto_examples_applications_plot_3d_image_processing.py:

diff --git a/dev/_sources/auto_examples/applications/plot_3d_interaction.rst.txt b/dev/_sources/auto_examples/applications/plot_3d_interaction.rst.txt
@@ -148,7 +148,7 @@ The `imshow` function can display both grayscale and RGB(A) 2D images.
 
     Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers). Got range [64..4095].
 
-    <matplotlib.image.AxesImage object at 0x7fc05c3f5280>
+    <matplotlib.image.AxesImage object at 0x7fb9e0dea690>
 
 
 
@@ -381,7 +381,7 @@ The biologist's eye can spot that the two bright blobs (best seen in
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 6.767 seconds)
+   **Total running time of the script:** (0 minutes 7.079 seconds)
 
 
 .. _sphx_glr_download_auto_examples_applications_plot_3d_interaction.py:

diff --git a/dev/_sources/auto_examples/applications/plot_3d_structure_tensor.rst.txt b/dev/_sources/auto_examples/applications/plot_3d_structure_tensor.rst.txt
@@ -524,7 +524,7 @@ we would get the pancake situation.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 1.275 seconds)
+   **Total running time of the script:** (0 minutes 1.312 seconds)
 
 
 .. _sphx_glr_download_auto_examples_applications_plot_3d_structure_tensor.py:

diff --git a/dev/_sources/auto_examples/applications/plot_coins_segmentation.rst.txt b/dev/_sources/auto_examples/applications/plot_coins_segmentation.rst.txt
@@ -342,7 +342,7 @@ labeled individually.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 1.506 seconds)
+   **Total running time of the script:** (0 minutes 1.519 seconds)
 
 
 .. _sphx_glr_download_auto_examples_applications_plot_coins_segmentation.py:

diff --git a/dev/_sources/auto_examples/applications/plot_colocalization_metrics.rst.txt b/dev/_sources/auto_examples/applications/plot_colocalization_metrics.rst.txt
@@ -177,7 +177,7 @@ much lower than the overlap coefficient.
  .. code-block:: none
 
 
-    np.float64(0.21862557722187426)
+    np.float64(0.1875424832294315)
 
 
 
@@ -281,7 +281,7 @@ would give us a good measure of how strong the association is.
 
  .. code-block:: none
 
-    PCC: 0.864, p-val: 0
+    PCC: 0.857, p-val: 0
 
 
 
@@ -309,7 +309,7 @@ case.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 1.369 seconds)
+   **Total running time of the script:** (0 minutes 1.199 seconds)
 
 
 .. _sphx_glr_download_auto_examples_applications_plot_colocalization_metrics.py:

diff --git a/dev/_sources/auto_examples/applications/plot_cornea_spot_inpainting.rst.txt b/dev/_sources/auto_examples/applications/plot_cornea_spot_inpainting.rst.txt
@@ -495,7 +495,7 @@ the opening processing step, when removing fine-grained features.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 17.218 seconds)
+   **Total running time of the script:** (0 minutes 17.853 seconds)
 
 
 .. _sphx_glr_download_auto_examples_applications_plot_cornea_spot_inpainting.py:

diff --git a/dev/_sources/auto_examples/applications/plot_face_detection.rst.txt b/dev/_sources/auto_examples/applications/plot_face_detection.rst.txt
@@ -134,7 +134,7 @@ using `OpenCV train cascade utility
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 0.338 seconds)
+   **Total running time of the script:** (0 minutes 0.341 seconds)
 
 
 .. _sphx_glr_download_auto_examples_applications_plot_face_detection.py:

diff --git a/dev/_sources/auto_examples/applications/plot_fluorescence_nuclear_envelope.rst.txt b/dev/_sources/auto_examples/applications/plot_fluorescence_nuclear_envelope.rst.txt
@@ -615,7 +615,7 @@ time points, and then becomes roughly constant.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 1.731 seconds)
+   **Total running time of the script:** (0 minutes 1.752 seconds)
 
 
 .. _sphx_glr_download_auto_examples_applications_plot_fluorescence_nuclear_envelope.py:

diff --git a/...uto_examples/applications/plot_haar_extraction_selection_classification.rst.txt b/...uto_examples/applications/plot_haar_extraction_selection_classification.rst.txt
@@ -282,15 +282,15 @@ Once the features are extracted, we can train and test a new classifier.
 
  .. code-block:: none
 
-    Computing the full feature set took 33.196s, plus 1.654s training, for an AUC of 1.00. Computing the restricted feature set took 0.099s, plus 1.370s training, for an AUC of 1.00.
+    Computing the full feature set took 34.228s, plus 1.642s training, for an AUC of 1.00. Computing the restricted feature set took 0.098s, plus 1.375s training, for an AUC of 1.00.
 
 
 
 
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 39.101 seconds)
+   **Total running time of the script:** (0 minutes 39.835 seconds)
 
 
 .. _sphx_glr_download_auto_examples_applications_plot_haar_extraction_selection_classification.py:

diff --git a/dev/_sources/auto_examples/applications/plot_human_mitosis.rst.txt b/dev/_sources/auto_examples/applications/plot_human_mitosis.rst.txt
@@ -519,7 +519,7 @@ cells in this sample. Therefore, we estimate the mitotic index to be:
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 1.994 seconds)
+   **Total running time of the script:** (0 minutes 2.006 seconds)
 
 
 .. _sphx_glr_download_auto_examples_applications_plot_human_mitosis.py:

diff --git a/dev/_sources/auto_examples/applications/plot_image_comparison.rst.txt b/dev/_sources/auto_examples/applications/plot_image_comparison.rst.txt
@@ -192,7 +192,7 @@ Blend
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 2.026 seconds)
+   **Total running time of the script:** (0 minutes 2.023 seconds)
 
 
 .. _sphx_glr_download_auto_examples_applications_plot_image_comparison.py:

diff --git a/dev/_sources/auto_examples/applications/plot_morphology.rst.txt b/dev/_sources/auto_examples/applications/plot_morphology.rst.txt
@@ -70,7 +70,7 @@ functions only work on gray-scale or binary images, so we set ``as_gray=True``.
  .. code-block:: none
 
 
-    <matplotlib.image.AxesImage object at 0x7fc05ec94740>
+    <matplotlib.image.AxesImage object at 0x7fb9e13f1280>
 
 
 
@@ -117,9 +117,9 @@ element, which we use for most of the following examples.
 .. code-block:: Python
 
 
-    from skimage.morphology import erosion, dilation, opening, closing, white_tophat  # noqa
-    from skimage.morphology import black_tophat, skeletonize, convex_hull_image  # noqa
-    from skimage.morphology import disk  # noqa
+    from skimage.morphology import erosion, dilation, opening, closing, white_tophat
+    from skimage.morphology import black_tophat, skeletonize, convex_hull_image
+    from skimage.morphology import disk
 
     footprint = disk(6)
     eroded = erosion(orig_phantom, footprint)
@@ -464,7 +464,7 @@ Additional Resources
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 1.363 seconds)
+   **Total running time of the script:** (0 minutes 1.383 seconds)
 
 
 .. _sphx_glr_download_auto_examples_applications_plot_morphology.py:

diff --git a/dev/_sources/auto_examples/applications/plot_pixel_graphs.rst.txt b/dev/_sources/auto_examples/applications/plot_pixel_graphs.rst.txt
@@ -199,7 +199,7 @@ to the position of the centroid!
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 59.998 seconds)
+   **Total running time of the script:** (1 minutes 1.434 seconds)
 
 
 .. _sphx_glr_download_auto_examples_applications_plot_pixel_graphs.py:

diff --git a/dev/_sources/auto_examples/applications/plot_rank_filters.rst.txt b/dev/_sources/auto_examples/applications/plot_rank_filters.rst.txt
@@ -1104,7 +1104,7 @@ on increasing image size:
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 40.005 seconds)
+   **Total running time of the script:** (0 minutes 41.120 seconds)
 
 
 .. _sphx_glr_download_auto_examples_applications_plot_rank_filters.py:

diff --git a/dev/_sources/auto_examples/applications/plot_solidification_tracking.rst.txt b/dev/_sources/auto_examples/applications/plot_solidification_tracking.rst.txt
@@ -515,7 +515,7 @@ polynomial to the scatter plot. The velocity is the first-order coefficient.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 2.586 seconds)
+   **Total running time of the script:** (0 minutes 2.499 seconds)
 
 
 .. _sphx_glr_download_auto_examples_applications_plot_solidification_tracking.py:

diff --git a/dev/_sources/auto_examples/applications/plot_text.rst.txt b/dev/_sources/auto_examples/applications/plot_text.rst.txt
@@ -83,7 +83,7 @@ just wants to write onto the image, this step is not necessary.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 0.796 seconds)
+   **Total running time of the script:** (0 minutes 0.798 seconds)
 
 
 .. _sphx_glr_download_auto_examples_applications_plot_text.py:

diff --git a/dev/_sources/auto_examples/applications/plot_thresholding_guide.rst.txt b/dev/_sources/auto_examples/applications/plot_thresholding_guide.rst.txt
@@ -357,7 +357,7 @@ The example compares the local threshold with the global threshold.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 2.933 seconds)
+   **Total running time of the script:** (0 minutes 2.988 seconds)
 
 
 .. _sphx_glr_download_auto_examples_applications_plot_thresholding_guide.py:

diff --git a/dev/_sources/auto_examples/applications/sg_execution_times.rst.txt b/dev/_sources/auto_examples/applications/sg_execution_times.rst.txt
@@ -6,7 +6,7 @@
 
 Computation times
 =================
-**03:08.307** total execution time for 17 files **from auto_examples/applications**:
+**03:12.508** total execution time for 17 files **from auto_examples/applications**:
 
 .. container::
 
@@ -33,53 +33,53 @@ Computation times
      - Time
      - Mem (MB)
    * - :ref:`sphx_glr_auto_examples_applications_plot_pixel_graphs.py` (``plot_pixel_graphs.py``)
-     - 00:59.998
+     - 01:01.434
      - 0.0
    * - :ref:`sphx_glr_auto_examples_applications_plot_rank_filters.py` (``plot_rank_filters.py``)
-     - 00:40.005
+     - 00:41.120
      - 0.0
    * - :ref:`sphx_glr_auto_examples_applications_plot_haar_extraction_selection_classification.py` (``plot_haar_extraction_selection_classification.py``)
-     - 00:39.101
+     - 00:39.835
      - 0.0
    * - :ref:`sphx_glr_auto_examples_applications_plot_cornea_spot_inpainting.py` (``plot_cornea_spot_inpainting.py``)
-     - 00:17.218
+     - 00:17.853
      - 0.0
    * - :ref:`sphx_glr_auto_examples_applications_plot_3d_image_processing.py` (``plot_3d_image_processing.py``)
-     - 00:07.300
+     - 00:07.367
      - 0.0
    * - :ref:`sphx_glr_auto_examples_applications_plot_3d_interaction.py` (``plot_3d_interaction.py``)
-     - 00:06.767
+     - 00:07.079
      - 0.0
    * - :ref:`sphx_glr_auto_examples_applications_plot_thresholding_guide.py` (``plot_thresholding_guide.py``)
-     - 00:02.933
+     - 00:02.988
      - 0.0
    * - :ref:`sphx_glr_auto_examples_applications_plot_solidification_tracking.py` (``plot_solidification_tracking.py``)
-     - 00:02.586
+     - 00:02.499
      - 0.0
    * - :ref:`sphx_glr_auto_examples_applications_plot_image_comparison.py` (``plot_image_comparison.py``)
-     - 00:02.026
+     - 00:02.023
      - 0.0
    * - :ref:`sphx_glr_auto_examples_applications_plot_human_mitosis.py` (``plot_human_mitosis.py``)
-     - 00:01.994
+     - 00:02.006
      - 0.0
    * - :ref:`sphx_glr_auto_examples_applications_plot_fluorescence_nuclear_envelope.py` (``plot_fluorescence_nuclear_envelope.py``)
-     - 00:01.731
+     - 00:01.752
      - 0.0
    * - :ref:`sphx_glr_auto_examples_applications_plot_coins_segmentation.py` (``plot_coins_segmentation.py``)
-     - 00:01.506
-     - 0.0
-   * - :ref:`sphx_glr_auto_examples_applications_plot_colocalization_metrics.py` (``plot_colocalization_metrics.py``)
-     - 00:01.369
+     - 00:01.519
      - 0.0
    * - :ref:`sphx_glr_auto_examples_applications_plot_morphology.py` (``plot_morphology.py``)
-     - 00:01.363
+     - 00:01.383
      - 0.0
    * - :ref:`sphx_glr_auto_examples_applications_plot_3d_structure_tensor.py` (``plot_3d_structure_tensor.py``)
-     - 00:01.275
+     - 00:01.312
+     - 0.0
+   * - :ref:`sphx_glr_auto_examples_applications_plot_colocalization_metrics.py` (``plot_colocalization_metrics.py``)
+     - 00:01.199
      - 0.0
    * - :ref:`sphx_glr_auto_examples_applications_plot_text.py` (``plot_text.py``)
-     - 00:00.796
+     - 00:00.798
      - 0.0
    * - :ref:`sphx_glr_auto_examples_applications_plot_face_detection.py` (``plot_face_detection.py``)
-     - 00:00.338
+     - 00:00.341
      - 0.0
diff --git a/dev/_sources/auto_examples/color_exposure/plot_adapt_hist_eq_3d.rst.txt b/dev/_sources/auto_examples/color_exposure/plot_adapt_hist_eq_3d.rst.txt
@@ -318,7 +318,7 @@ degraded version of it.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 13.411 seconds)
+   **Total running time of the script:** (0 minutes 13.522 seconds)
 
 
 .. _sphx_glr_download_auto_examples_color_exposure_plot_adapt_hist_eq_3d.py:

diff --git a/dev/_sources/auto_examples/color_exposure/plot_adapt_rgb.rst.txt b/dev/_sources/auto_examples/color_exposure/plot_adapt_rgb.rst.txt
@@ -207,7 +207,7 @@ Finally, we can use this handler with ``adapt_rgb`` just as before:
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 1.592 seconds)
+   **Total running time of the script:** (0 minutes 1.596 seconds)
 
 
 .. _sphx_glr_download_auto_examples_color_exposure_plot_adapt_rgb.py:

diff --git a/dev/_sources/auto_examples/color_exposure/plot_equalize.rst.txt b/dev/_sources/auto_examples/color_exposure/plot_equalize.rst.txt
@@ -135,7 +135,7 @@ that fall within the 2nd and 98th percentiles [2]_.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 0.746 seconds)
+   **Total running time of the script:** (0 minutes 0.744 seconds)
 
 
 .. _sphx_glr_download_auto_examples_color_exposure_plot_equalize.py:

diff --git a/dev/_sources/auto_examples/color_exposure/plot_histogram_matching.rst.txt b/dev/_sources/auto_examples/color_exposure/plot_histogram_matching.rst.txt
@@ -122,7 +122,7 @@ image for each channel.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 1.128 seconds)
+   **Total running time of the script:** (0 minutes 1.178 seconds)
 
 
 .. _sphx_glr_download_auto_examples_color_exposure_plot_histogram_matching.py:

diff --git a/dev/_sources/auto_examples/color_exposure/plot_ihc_color_separation.rst.txt b/dev/_sources/auto_examples/color_exposure/plot_ihc_color_separation.rst.txt
@@ -143,7 +143,7 @@ Now we can easily manipulate the hematoxylin and DAB channels:
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 1.260 seconds)
+   **Total running time of the script:** (0 minutes 1.265 seconds)
 
 
 .. _sphx_glr_download_auto_examples_color_exposure_plot_ihc_color_separation.py: