Add support for bia-bob

napari_segment_blobs_and_things_with_membranes/_bia_bob_plugins.py

@@ -0,0 +1,55 @@
+def list_bia_bob_plugins():
+    """List of function hints for bia_bob"""
+    return """    ## napari-segment-blobs-and-things-with-membranes (nsbatwm)
+    nsbatwm is a Python library that processes images, mostly using the scikit-image library, but with simpler access.
+    When you use it, you always start by importing the library: `import napari_segment_blobs_and_things_with_membranes as nsbatwm`.
+    When asked for how to use nsbatwm, you can adapt one of the following code snippets:
+  
+    * Splits touching objects in a binary image using an algorithm similar to the ImageJ watershed.
+      nsbatwm.split_touching_objects(binary_image)
+   
+    * Applies Otsu's method to binarize an intensity image (also works with yen, isodata, li, mean, minimum, triangle instead of otsu).
+      nsbatwm.threshold_otsu(image)
+      
+    * Labels connected components in a binary image.
+      nsbatwm.connected_component_labeling(binary_image)
+      
+    * Applies seeded watershed segmentation using labeled objects, e.g. nuclei, and an image showing bright borders between objects such as cell membranes.
+      nsbatwm.seeded_watershed(image, labeled_objects)
+      
+    * Segments blob-like structures using Voronoi-Otsu labeling.
+      nsbatwm.voronoi_otsu_labeling(image, spot_sigma=4, outline_sigma=1)
+     
+    * Applies a Gaussian blur for noise reduction.
+      nsbatwm.gaussian_blur(image, sigma=5)
+      
+    * Applies median filter to reduce noise while preserving edges.
+      nsbatwm.median_filter(image, radius=5)
+      
+    * Smooth a label image using a local most popular intensity (mode) filter.
+      nsbatwm.mode_filter(labels)
+      
+    * Applies a percentile filter.
+      nsbatwm.percentile_filter(image)
+    
+    * Removes background in an image using the top-hat filter.
+      nsbatwm.white_tophat(image)
+    
+    * Applies local minimum filtering to an image (also works with maximum, and mean).
+      nsbatwm.minimum_filter(image)
+    
+    * Subtracts background in an image using the rolling ball algorithm.
+      nsbatwm.subtract_background(image)
+    
+    * Removes labeled objects touching image borders.
+      nsbatwm.remove_labels_on_edges(label_image)
+    
+    * Expands labels by a specified distance.
+      nsbatwm.expand_labels(label_image, distance=2)
+    
+    * Segments using seeded watershed with local minima as seeds.
+      nsbatwm.local_minima_seeded_watershed(image, spot_sigma=10, outline_sigma=2)
+    
+    * Skeletonizes labeled objects.
+      nsbatwm.skeletonize(image)
+"""

setup.cfg

@@ -45,3 +45,5 @@ install_requires =
 [options.entry_points] 
 napari.plugin = 
     napari-segment-blobs-and-things-with-membranes = napari_segment_blobs_and_things_with_membranes
+bia_bob_plugins =
+    nsbatwm_plugin = napari_segment_blobs_and_things_with_membranes._bia_bob_plugins:list_bia_bob_plugins