diff --git a/laserchicken/feature_extractor/entropy_feature_extractor.py b/laserchicken/feature_extractor/entropy_feature_extractor.py
index 6639fca..3c01d67 100644
--- a/laserchicken/feature_extractor/entropy_feature_extractor.py
+++ b/laserchicken/feature_extractor/entropy_feature_extractor.py
@@ -31,6 +31,8 @@ def extract(self, source_pc, neighborhood, target_pc, target_index, volume_descr
         z = source_pc[keys.point]["z"]["data"][neighborhood]
         _z_min = np.min(z) if self.z_min is None else self.z_min
         _z_max = np.max(z) if self.z_max is None else self.z_max
+        if (_z_min == _z_max):
+          return 0
         n_bins = int(np.ceil((_z_max - _z_min) / self.layer_thickness))
         data = np.histogram(z, bins=n_bins, range=(
             _z_min, _z_max), density=True)[0]