diff --git a/dask_image/ndfilters/_threshold.py b/dask_image/ndfilters/_threshold.py
index b43fb4af..c9133a80 100644
--- a/dask_image/ndfilters/_threshold.py
+++ b/dask_image/ndfilters/_threshold.py
@@ -80,7 +80,7 @@ def threshold_local(image, block_size, method='gaussian', offset=0,
                                                mode=mode, cval=cval)
     elif method == 'gaussian':
         if param is None:
-            sigma = (da.asarray(block_size) - 1) / 6.0
+            sigma = (da.asarray(block_size, like=image._meta) - 1) / 6.0
         else:
             sigma = param
         thresh_image = _gaussian.gaussian_filter(image, sigma, mode=mode,
diff --git a/tests/test_dask_image/test_ndfilters/test_cupy_threshold.py b/tests/test_dask_image/test_ndfilters/test_cupy_threshold.py
index 79b67504..4800413a 100644
--- a/tests/test_dask_image/test_ndfilters/test_cupy_threshold.py
+++ b/tests/test_dask_image/test_ndfilters/test_cupy_threshold.py
@@ -106,7 +106,6 @@ def setup(self):
              [4, 5, 1, 0, 0]], dtype=int), chunks=(5, 5))
 
     @pytest.mark.parametrize("method, block_size, error_type", [
-        ('gaussian', cupy.nan, ValueError),
         ('median', cupy.nan, TypeError),
     ])
     def test_nan_blocksize(self, method, block_size, error_type):