--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/2d_split_binaryimage_by_watershed.py	Tue Nov 14 08:27:27 2023 +0000
@@ -0,0 +1,28 @@
+import argparse
+import sys
+
+import skimage.io
+import skimage.util
+from scipy import ndimage as ndi
+from skimage.feature import peak_local_max
+from skimage.morphology import watershed
+
+
+if __name__ == "__main__":
+    parser = argparse.ArgumentParser(description='Split binaryimage by watershed')
+    parser.add_argument('input_file', type=argparse.FileType('r'), default=sys.stdin, help='input file')
+    parser.add_argument('out_file', type=argparse.FileType('w'), default=sys.stdin, help='out file (TIFF)')
+    parser.add_argument('min_distance', type=int, default=100, help='Minimum distance to next object')
+    args = parser.parse_args()
+
+    img_in = skimage.io.imread(args.input_file.name)
+    distance = ndi.distance_transform_edt(img_in)
+    local_maxi = peak_local_max(distance,
+                                indices=False,
+                                min_distance=args.min_distance,
+                                labels=img_in)
+    markers = ndi.label(local_maxi)[0]
+    res = watershed(-distance, markers, mask=img_in)
+
+    res = skimage.util.img_as_uint(res)
+    skimage.io.imsave(args.out_file.name, res, plugin="tifffile")