Initial commit with project files

2_Bildbearbeitung/ü1/l_a.py

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+import numpy as np
+import cv2
+
+KERNEL_SIZE = 20
+
+# Einlesen des Bildes
+filepath = "../../data/text_%s.jpg"
+images = list()
+for i in [1, 2, 3]:
+    img = cv2.imread(filepath % i)
+    img = cv2.resize(img, (500, 500))
+    images.append(img)
+
+
+def balance(img):
+    kernel = np.ones((KERNEL_SIZE, KERNEL_SIZE)) / (KERNEL_SIZE * KERNEL_SIZE)
+    blurred = cv2.filter2D(img, -1, kernel=kernel)
+    img = img / blurred
+    img = 255 * (img - np.min(img)) / (np.max(img) - np.min(img))  # Normieren auf Wertebereich {0, ..., 255}
+    img = img.astype(np.uint8)
+    print(np.max(img), np.min(img))
+    return img
+
+
+balanced_images = list()
+for img in images:
+    balanced_image = balance(img)
+    balanced_images.append(balanced_image)
+
+for i, (image, balaced_image) in enumerate(zip(images, balanced_images)):
+    cv2.imshow("Text%s" % (i + 1), image)
+    cv2.imshow("AusgeglichenerText%s" % (i + 1), balaced_image)
+
+cv2.waitKey(0)