diff --git a/src/experiments/algorithms/colourspace.py b/src/experiments/algorithms/colourspace.py
index ee26da9..0667ec9 100644
--- a/src/experiments/algorithms/colourspace.py
+++ b/src/experiments/algorithms/colourspace.py
@@ -6,13 +6,24 @@ def imgStats(img):
     mean = np.zeros(3)
     std = np.zeros(3)
     for i in range(img.shape[2]):
-        mean[i] = np.mean(hsv_img[:, :, i])
-        std[i] = np.std(hsv_img[:, :, i])
+        mean[i] = np.mean(img[:, :, i])
+        std[i] = np.std(img[:, :, i])
     return mean, std
 
-DATASET_PATH = "C:\\Users\\Tom\\Desktop\\Files\\Repositories\\snake-vault\\TREES\\dataset\\"
+def histNormalize(hist):
+    max_val = np.amax(hist)
+    min_val = np.amin(hist)
+    for i in range(len(hist)):
+        hist[i][0] = (hist[i][0] - min_val)/(max_val - min_val)
+
+
+# DATASET_PATH = "C:\\Users\\Tom\\Desktop\\Files\\Repositories\\snake-vault\\TREES\\dataset\\"
+# full_img = cv2.imread(DATASET_PATH + "alder\\1.jpg", 1)
+
+DATASET_PATH = "..\\..\\..\\res\\trees\\"
+full_img = cv2.imread(DATASET_PATH + "berk_sq1_original.png", 1)
+assert full_img is not None, "Path is wrong"
 
-full_img = cv2.imread(DATASET_PATH + "alder\\1.jpg", 1)
 bgr_img = cv2.resize(full_img, (0, 0), fx=0.25, fy=0.25)
 hsv_img = cv2.cvtColor(bgr_img, cv2.COLOR_BGR2HSV)
 
@@ -22,17 +33,33 @@ hsv_img = cv2.cvtColor(bgr_img, cv2.COLOR_BGR2HSV)
 # cv2.imshow('HSV - S',hsv_img[:, :, 1])
 # cv2.imshow('HSV - V',hsv_img[:, :, 2])
 
+print("BGR")
+mean, std = imgStats(bgr_img)
+print(mean)
+print(std)
+print()
+
+hist = cv2.calcHist([bgr_img], [0], None, [256], [0,256])
+plt.plot(hist, label='B', c='b')
+hist = cv2.calcHist([bgr_img], [1], None, [256], [0,256])
+plt.plot(hist, label='G', c='g')
+hist = cv2.calcHist([bgr_img], [2], None, [256], [0,256])
+plt.plot(hist, label='R', c='r')
+plt.grid()
+plt.legend()
+plt.show()
+
+print("HSV")
+mean, std = imgStats(hsv_img)
+print(mean)
+print(std)
+
 hist = cv2.calcHist([hsv_img], [0], None, [256], [0,256])
 plt.plot(hist, label='H')
 hist = cv2.calcHist([hsv_img], [1], None, [256], [0,256])
 plt.plot(hist, label='S')
 hist = cv2.calcHist([hsv_img], [2], None, [256], [0,256])
 plt.plot(hist, label='V')
-
-mean, std = imgStats(hsv_img)
-print(mean)
-print(std)
-
 plt.grid()
 plt.legend()
 plt.show()