diff --git a/src/df_tools/dfwindow.py b/src/df_tools/dfwindow.py
index 0806b49..f5964ea 100644
--- a/src/df_tools/dfwindow.py
+++ b/src/df_tools/dfwindow.py
@@ -107,22 +107,22 @@ class DFWINDOW:
 
         @staticmethod
         def firstNotBlackX(img) -> int:
-            first_x = np.where(np.max(cv2.cvtColor(img, cv2.COLOR_BGR2GRAY), axis=0) > 5)[0][0]
+            first_x = np.where(np.mean(cv2.cvtColor(img, cv2.COLOR_BGR2GRAY), axis=0) > 10)[0][0]
             return int(first_x)
 
         @staticmethod
         def lastNotBlackX(img) -> int:
-            first_x = np.where(np.max(cv2.cvtColor(img, cv2.COLOR_BGR2GRAY), axis=0) > 5)[0][-1]
+            first_x = np.where(np.mean(cv2.cvtColor(img, cv2.COLOR_BGR2GRAY), axis=0) > 10)[0][-1]
             return int(first_x)
 
         @staticmethod
         def firstNotBlackY(img) -> int:
-            first_y = np.where(np.max(cv2.cvtColor(img, cv2.COLOR_BGR2GRAY), axis=1) > 5)[0][0]
+            first_y = np.where(np.mean(cv2.cvtColor(img, cv2.COLOR_BGR2GRAY), axis=1) > 10)[0][0]
             return int(first_y)
 
         @staticmethod
         def lastNotBlackY(img) -> int:
-            first_y = np.where(np.max(cv2.cvtColor(img, cv2.COLOR_BGR2GRAY), axis=1) > 5)[0][-1]
+            first_y = np.where(np.mean(cv2.cvtColor(img, cv2.COLOR_BGR2GRAY), axis=1) > 10)[0][-1]
             return int(first_y)
 
     bottom_to_ignore = 160