[#2] feat: 필터 사용 노이즈 제거 기능

reduce_noise_filter.py

@@ -0,0 +1,27 @@
+import cv2
+import numpy as np
+
+
+image_path = 'test.jpg'
+image = cv2.imread(image_path, cv2.IMREAD_GRAYSCALE)
+
+mean_bin = cv2.adaptiveThreshold(image, 255, cv2.ADAPTIVE_THRESH_MEAN_C, cv2.THRESH_BINARY, 51, 15)  # Mean Adaptive Thresholding 이진화 기법
+
+median_filter =cv2.medianBlur(mean_bin, 3)  # 3 by 3 필터
+# 미디언 필터
+
+bilater_filter = cv2.bilateralFilter(mean_bin, 9, 75, 75)  # (src, d, sigmaColor, sigmaSpace)
+# 바이레이털 필터
+
+
+cv2.namedWindow('origin', cv2.WINDOW_NORMAL)
+cv2.imshow('origin', mean_bin)
+
+cv2.namedWindow('median filter', cv2.WINDOW_NORMAL)
+cv2.imshow('median filter', median_filter)
+
+cv2.namedWindow('bilater_filter', cv2.WINDOW_NORMAL)
+cv2.imshow('bilater_filter', bilater_filter)
+
+cv2.waitKey(0)
+cv2.destroyAllWindows()