diff --git a/src/eynollah/eynollah.py b/src/eynollah/eynollah.py
index ac7044d..05907d6 100644
--- a/src/eynollah/eynollah.py
+++ b/src/eynollah/eynollah.py
@@ -3670,16 +3670,17 @@ class Eynollah:
         return x_differential_new
 
     def dilate_textregions_contours_textline_version(self, all_found_textline_polygons):
-        return [[np.array(make_valid(Polygon(poly[:, 0]).buffer(5)).exterior.coords,
+        return [[np.array(make_valid(Polygon(poly[:, 0]).buffer(5)).exterior.coords[:-1],
                           dtype=int)[:, np.newaxis]
                  for poly in region]
                 for region in all_found_textline_polygons]
 
     def dilate_textregions_contours(self, all_found_textline_polygons):
-        return [np.array(make_valid(Polygon(poly[:, 0]).buffer(5)).exterior.coords,
+        return [np.array(make_valid(Polygon(poly[:, 0]).buffer(5)).exterior.coords[:-1],
                          dtype=int)[:, np.newaxis]
                 for poly in all_found_textline_polygons]
 
+
     def dilate_textline_contours(self, all_found_textline_polygons):
         for j in range(len(all_found_textline_polygons)):
             for ij in range(len(all_found_textline_polygons[j])):
diff --git a/src/eynollah/utils/contour.py b/src/eynollah/utils/contour.py
index 7868971..e864cc7 100644
--- a/src/eynollah/utils/contour.py
+++ b/src/eynollah/utils/contour.py
@@ -49,7 +49,7 @@ def filter_contours_area_of_image(image, contours, hierarchy, max_area, min_area
             area <= max_area * np.prod(image.shape[:2]) and
             hierarchy[0][jv][3] == -1):
             found_polygons_early.append(np.array([[point]
-                                                  for point in polygon.exterior.coords], dtype=np.uint))
+                                                  for point in polygon.exterior.coords[:-1]], dtype=np.uint))
     return found_polygons_early
 
 def filter_contours_area_of_image_tables(image, contours, hierarchy, max_area, min_area):
@@ -70,7 +70,7 @@ def filter_contours_area_of_image_tables(image, contours, hierarchy, max_area, m
             True):
             # print(c[0][0][1])
             found_polygons_early.append(np.array([[point]
-                                                  for point in polygon.exterior.coords], dtype=np.int32))
+                                                  for point in polygon.exterior.coords[:-1]], dtype=np.int32))
     return found_polygons_early
 
 def find_new_features_of_contours(contours_main):
@@ -327,6 +327,11 @@ def return_contours_of_interested_region_by_size(region_pre_p, pixel, min_area,
 
 def make_valid(polygon: Polygon) -> Polygon:
     """Ensures shapely.geometry.Polygon object is valid by repeated rearrangement/simplification/enlargement."""
+    def isint(x):
+        return isinstance(x, int) or int(x) == x
+    # make sure rounding does not invalidate
+    if not all(map(isint, np.array(polygon.exterior.coords).flat)) and polygon.minimum_clearance < 1.0:
+        polygon = Polygon(np.round(polygon.exterior.coords))
     points = list(polygon.exterior.coords)
     # try by re-arranging points
     for split in range(1, len(points)):