[#2] feat: 모폴로지 연산 적용 기능

reduce_noise_morphology.py

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+import cv2
+import numpy as np
+
+
+image_path = "test.jpg"
+image = cv2.imread(image_path, cv2.IMREAD_GRAYSCALE)
+
+kernel = np.ones((3,3), np.uint8)  # 글씨 크기 고려 커널 사이즈 3
+
+
+cv2.namedWindow('Origin', cv2.WINDOW_NORMAL)
+cv2.imshow('Origin', image)
+
+
+# ------ 모폴로지 열림 -------
+
+opened = cv2.morphologyEx(image, cv2.MORPH_OPEN, kernel)
+
+cv2.namedWindow('Opened', cv2.WINDOW_NORMAL)
+cv2.imshow('Opened', opened)
+
+
+# ------ 모폴로지 닫힘 -------
+
+closed = cv2.morphologyEx(image, cv2.MORPH_CLOSE, kernel)
+cv2.namedWindow('Closed', cv2.WINDOW_NORMAL)
+cv2.imshow('Closed', opened)
+
+
+# ------ 모폴로지 열림 후 닫힘 -------
+
+open_close = cv2.morphologyEx(opened, cv2.MORPH_CLOSE, kernel)
+cv2.namedWindow('Open after Close', cv2.WINDOW_NORMAL)
+cv2.imshow('Open after Close', open_close)
+
+
+# ------ 모폴로지 닫힘 후 열림 -------
+
+close_open = cv2.morphologyEx(closed, cv2.MORPH_OPEN, kernel)
+cv2.namedWindow('Close after Open', cv2.WINDOW_NORMAL)
+cv2.imshow('Close after Open', close_open)
+
+
+cv2.waitKey(0)
+cv2.destroyAllWindows()