diff --git a/cv_analysis/utils/morphing.py b/cv_analysis/utils/morphing.py
new file mode 100644
index 0000000..4cb1ea0
--- /dev/null
+++ b/cv_analysis/utils/morphing.py
@@ -0,0 +1,38 @@
+from typing import Tuple
+
+from PIL import Image
+from loguru import logger
+
+from cv_analysis.utils.image_operations import compute_pasting_coordinates
+from cv_analysis.utils.rectangle import Rectangle
+from synthesis.segment.content_rectangle import ContentRectangle
+
+
+def shrink_rectangle(rectangle: Rectangle, factor: float) -> Rectangle:
+    x1, y1, x2, y2 = compute_scaled_coordinates(rectangle, (1 - factor))
+
+    logger.trace(f"Shrinking {rectangle} by {factor} to ({x1}, {y1}, {x2}, {y2}).")
+
+    assert x1 >= rectangle.x1
+    assert y1 >= rectangle.y1
+    assert x2 <= rectangle.x2
+    assert y2 <= rectangle.y2
+
+    shrunk_rectangle = Rectangle(x1, y1, x2, y2)
+
+    if isinstance(rectangle, ContentRectangle):  # TODO: Refactor
+        shrunk_rectangle = ContentRectangle(*shrunk_rectangle.coords, rectangle.content)
+
+    return shrunk_rectangle
+
+
+def compute_scaled_coordinates(rectangle: Rectangle, factor: float) -> Tuple[int, int, int, int]:
+    # FIXME: Refactor: Using image to compute coordinates is not clean
+    image = Image.new("RGBA", (rectangle.width, rectangle.height))
+    scaled = image.resize((int(rectangle.width * factor), int(rectangle.height * factor)))
+
+    x1, y1 = compute_pasting_coordinates(scaled, image)
+    x1 = rectangle.x1 + x1
+    y1 = rectangle.y1 + y1
+    x2, y2 = x1 + scaled.width, y1 + scaled.height
+    return x1, y1, x2, y2
diff --git a/test/fixtures/page_generation/page.py b/test/fixtures/page_generation/page.py
index 4a21c17..f337a9e 100644
--- a/test/fixtures/page_generation/page.py
+++ b/test/fixtures/page_generation/page.py
@@ -10,7 +10,7 @@ from PIL.Image import Transpose
 from loguru import logger
 
 from cv_analysis.utils.conversion import normalize_image_format_to_array, normalize_image_format_to_pil
-from cv_analysis.utils.image_operations import blur, sharpen, overlay, superimpose, compute_pasting_coordinates
+from cv_analysis.utils.image_operations import blur, sharpen, overlay, superimpose
 from cv_analysis.utils.merging import merge_related_rectangles
 from cv_analysis.utils.postprocessing import remove_overlapping, remove_included
 from synthesis.partitioner.two_column import TwoColumnPagePartitioner
@@ -253,36 +253,6 @@ def split_into_figure_and_caption(rectangle: Rectangle):
     return figure_box, caption_box
 
 
-def shrink_rectangle(rectangle: Rectangle, factor: float) -> Rectangle:
-    x1, y1, x2, y2 = compute_scaled_coordinates(rectangle, (1 - factor))
-
-    logger.trace(f"Shrinking {rectangle} by {factor} to ({x1}, {y1}, {x2}, {y2}).")
-
-    assert x1 >= rectangle.x1
-    assert y1 >= rectangle.y1
-    assert x2 <= rectangle.x2
-    assert y2 <= rectangle.y2
-
-    shrunk_rectangle = Rectangle(x1, y1, x2, y2)
-
-    if isinstance(rectangle, ContentRectangle):  # TODO: Refactor
-        shrunk_rectangle = ContentRectangle(*shrunk_rectangle.coords, rectangle.content)
-
-    return shrunk_rectangle
-
-
-def compute_scaled_coordinates(rectangle: Rectangle, factor: float) -> Tuple[int, int, int, int]:
-    # TODO: Refactor: Using image to compute coordinates is not clean
-    image = Image.new("RGBA", (rectangle.width, rectangle.height))
-    scaled = image.resize((int(rectangle.width * factor), int(rectangle.height * factor)))
-
-    x1, y1 = compute_pasting_coordinates(scaled, image)
-    x1 = rectangle.x1 + x1
-    y1 = rectangle.y1 + y1
-    x2, y2 = x1 + scaled.width, y1 + scaled.height
-    return x1, y1, x2, y2
-
-
 def generate_random_text_block(rectangle: Rectangle, n_sentences=3000) -> ContentRectangle:
     block = TextBlock(
         *rectangle.coords,