added assay images

src/experiments/algorithms/colourspace.py

@@ -16,53 +16,68 @@ def histNormalize(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\\EV5_Beeldherk_Bomen\\res\\trees\\"
+SAVE_PATH = "C:\\Users\\Tom\\Desktop\\Files\\Repositories\\EV5_Beeldherk_Bomen\\res\\essay\\"
+IMAGE = "berk_sq1_original.png"
 
-# DATASET_PATH = "C:\\Users\\Tom\\Desktop\\Files\\Repositories\\snake-vault\\TREES\\dataset\\"
-# full_img = cv2.imread(DATASET_PATH + "alder\\1.jpg", 1)
+full_img = cv2.imread(DATASET_PATH + IMAGE, 1)
+assert full_img is not None, "Path is wrong: " + DATASET_PATH + IMAGE
 
-DATASET_PATH = "..\\..\\..\\res\\trees\\"
-full_img = cv2.imread(DATASET_PATH + "berk_sq1_original.png", 1)
-assert full_img is not None, "Path is wrong"
 
 bgr_img = cv2.resize(full_img, (0, 0), fx=0.25, fy=0.25)
 hsv_img = cv2.cvtColor(bgr_img, cv2.COLOR_BGR2HSV)
 
-# cv2.imshow('BGR',bgr_img)
-# cv2.imshow('HSV',hsv_img)
-# cv2.imshow('HSV - H',hsv_img[:, :, 0])
-# cv2.imshow('HSV - S',hsv_img[:, :, 1])
-# cv2.imshow('HSV - V',hsv_img[:, :, 2])
+cv2.imshow('BGR', bgr_img)
+BGR = np.concatenate((bgr_img[:, :, 0], bgr_img[:, :, 1], bgr_img[:, :, 2]), 
+                      axis=1)
+cv2.imshow("BGR - Expanded", BGR)
+
+cv2.imshow('HSV', hsv_img)
+HSV = np.concatenate((hsv_img[:, :, 0], hsv_img[:, :, 1], hsv_img[:, :, 2]), 
+                      axis=1)
+cv2.imshow("HSV - Expanded", HSV)
+
+cv2.imwrite(SAVE_PATH + "2-5-1_bgr.png", bgr_img)
+cv2.imwrite(SAVE_PATH + "2-5-1_bgr_expanded.png", BGR)
+
+cv2.imwrite(SAVE_PATH + "2-5-1_hsv.png", hsv_img)
+cv2.imwrite(SAVE_PATH + "2-5-1_hsv_expanded.png", HSV)
 
-print("BGR")
 mean, std = imgStats(bgr_img)
 print(mean)
 print(std)
 print()
 
+mean, std = imgStats(hsv_img)
+print(mean)
+print(std)
+print()
+
+cv2.waitKey(0)
+cv2.destroyAllWindows()
+
 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.title("BGR histogram")
+plt.xlabel("Waarde van pixels [0-255]")
+plt.ylabel("Hoeveelheid pixels")
 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')
+plt.title("HSV histogram")
+plt.xlabel("Waarde van pixels [0-255]")
+plt.ylabel("Hoeveelheid pixels")
 plt.grid()
 plt.legend()
-plt.show()
-
-cv2.waitKey(0)
-cv2.destroyAllWindows()
+plt.show()