diff --git a/py/common.py b/py/common.py
index d8e68ce..148e5fe 100644
--- a/py/common.py
+++ b/py/common.py
@@ -35,8 +35,20 @@ def convert_color (color, color_space_a, color_space_b) :
 		b = cv2.COLOR_BGR2HSV
 	elif color_space_a == 'HSV' and color_space_b == 'BGR' :
 		b = cv2.COLOR_HSV2BGR
+	elif color_space_a == 'RGB' and color_space_b == 'RGB' :
+		b = None
+	elif color_space_a == 'BGR' and color_space_b == 'BGR' :
+		b = None
+	elif color_space_a == 'LAB' and color_space_b == 'LAB' :
+		b = None
+	elif color_space_a == 'HSV' and color_space_b == 'HSB' :
+		b = None
+
+	if b is not None :
+		cvt = cv2.cvtColor(pixel, b)
+	else :
+		cvt = pixel
 
-	cvt = cv2.cvtColor(pixel, b)
 	return cvt[0, 0]
 
 def closest_color (colors, color):
diff --git a/py/comparison_comparison.py b/py/comparison_comparison.py
index 27aaeee..0d5e7f7 100644
--- a/py/comparison_comparison.py
+++ b/py/comparison_comparison.py
@@ -10,22 +10,31 @@ class ComparisonComparison:
 		blue = [240, 0, 20]
 		comp_colors = [red, green, blue]
 		pallete = PalleteSchema('./palletes/printed_pallete.json')
-		colors = self.get_colors(pallete.colors)
-		for cc in comp_colors :
-			ccbgr = convert_color(cc, 'RGB', 'HSV')
-			closest = closest_color(colors, ccbgr)
-			ccbgr = convert_color(cc, 'RGB', 'BGR')
-			#print(f'{convert_color(closest,"BGR","RGB")} for {convert_color(ccbgr,"BGR","RGB")}')
-			original = create_colored_image(100, 100, convert_color(closest, 'HSV', 'BGR'))
-			chosen = create_colored_image(100, 100, ccbgr)
-			combined = np.hstack([original, chosen])
-			cv2.imshow("image", combined)
+		color_spaces = ['RGB', 'LAB', 'HSV']
+		for space in color_spaces :
+			print(f'Comparing in color space {space}')
+			colors = self.get_colors(pallete.colors, space)
+			show = []
+			for cc in comp_colors :
+				cccompare = convert_color(cc, 'RGB', space)
+				closest = closest_color(colors, cccompare)
+
+				ccbgr = convert_color(cc, 'RGB', 'BGR')
+				chosenbgr = convert_color(closest, space, 'BGR')
+
+				chosen = create_colored_image(100, 100, chosenbgr)
+				original = create_colored_image(100, 100, ccbgr)
+
+				combined = np.hstack([original, chosen])
+				show.append(combined)
+			show = np.vstack(show)
+			cv2.imshow("image", show)
 			cv2.waitKey(0)
 
-	def get_colors (self, pallete) :
+	def get_colors (self, pallete, space) :
 		colors = []
 		for color in pallete :
-			colors.append(convert_color(color['color'], 'BGR', 'HSV'))
+			colors.append(convert_color(color['color'], color['space'], space))
 		return colors
 
 if __name__ == "__main__":