diff --git a/src/experiments/algorithms/colour_FE.py b/src/experiments/algorithms/colour_FE.py
new file mode 100644
index 0000000..ce6c0f9
--- /dev/null
+++ b/src/experiments/algorithms/colour_FE.py
@@ -0,0 +1,83 @@
+import cv2
+import cv2.typing
+from cv2.mat_wrapper import Mat as Mat
+import os
+import numpy as np
+import csv
+
+CSV_PATH = "src\\experiments\\algorithms\\data\\"
+IMG_PATH = "dataset\\accasia_1210048 (2023_09_28 12_19_26 UTC).JPG"
+BARK_TYPES = 8
+
+class colourTester:
+    def __init__(self) -> None:
+        pass
+
+    def loadImage(self) -> None:
+        img = cv2.imread(self.im_path, 1)
+        assert img is not None, \
+            "Failed to load an image, check path"
+        self.img = img
+        return
+    
+    def setImPath(self, path : str) -> None:
+        if os.path.isfile(path):
+            self.im_path = path
+        else:
+            print("file does not exist")
+        return
+    
+    def setCsvBgrPath(self, path : str) -> None:
+        if os.path.isfile(path):
+            self.csv_bgr_path = path
+        else:
+            print("file does not exist")
+        return
+
+    def setCsvHsvPath(self, path : str) -> None:
+        if os.path.isfile(path):
+            self.csv_hsv_path = path
+        else:
+            print("file does not exist")
+        return
+    
+    def getData(self, img : cv2.typing.MatLike) -> (float, float):
+        mean = np.zeros(3)
+        std = np.zeros(3)
+        for i in range(img.shape[2]):
+            mean[i] = np.mean(img[:, :, i])
+            std[i] = np.std(img[:, :, i])
+        return (mean, std)
+    
+    def loadCurves(self) -> None:
+        labels = []
+        ids = []
+        data = [[[], [], []] for x in range(BARK_TYPES)]
+        with open(self.csv_bgr_path, 'r') as bgr_file:
+            reader = csv.reader(bgr_file, delimiter=',')
+            # fix whatever is happening here
+                
+        print(data)
+        return
+    
+    def testImage(self) -> None:
+        # load an image
+        self.loadImage()
+        
+        # load curves
+        self.loadCurves()
+
+        # extract data
+        mean, std = self.getData(self.img)
+
+        # correlate with curves 
+        # dictionary? list? with 0 - 1 scores
+        pass
+
+if __name__ == "__main__":
+    tester = colourTester()
+    tester.setImPath(IMG_PATH)
+    tester.setCsvBgrPath(CSV_PATH + "bgr_curve.csv")
+    tester.setCsvHsvPath(CSV_PATH + "hsv_curve.csv")
+    tester.testImage()
+    pass
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