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eastmountyxz · web-flow · commit ab445a3790b5 · 2021-08-20T17:31:10.000+08:00
diff --git a/blog44-ImageProcessingSummary/ImageProcessing_08_LH.py b/blog44-ImageProcessingSummary/ImageProcessing_08_LH.py
@@ -0,0 +1,75 @@
+# -*- coding: utf-8 -*-
+# BY:Eastmount CSDN 2021-08-20
+import cv2  
+import numpy as np  
+import matplotlib.pyplot as plt
+
+#读取原始图像
+img = cv2.imread('lena-hd.png')
+
+#获取图像高度和宽度
+height = img.shape[0]
+width = img.shape[1]
+
+#创建一幅图像
+new_img1 = np.zeros((height, width, 3), np.uint8)
+new_img2 = np.zeros((height, width, 3), np.uint8)
+new_img3 = np.zeros((height, width, 3), np.uint8)
+
+#图像量化等级为2的量化处理
+for i in range(height):
+    for j in range(width):
+        for k in range(3): #对应BGR三分量
+            if img[i, j][k] < 128:
+                gray = 0
+            else:
+                gray = 128
+            new_img1[i, j][k] = np.uint8(gray)
+
+#图像量化等级为4的量化处理
+for i in range(height):
+    for j in range(width):
+        for k in range(3): #对应BGR三分量
+            if img[i, j][k] < 64:
+                gray = 0
+            elif img[i, j][k] < 128:
+                gray = 64
+            elif img[i, j][k] < 192:
+                gray = 128
+            else:
+                gray = 192
+            new_img2[i, j][k] = np.uint8(gray)
+
+#图像量化等级为8的量化处理
+for i in range(height):
+    for j in range(width):
+        for k in range(3): #对应BGR三分量
+            if img[i, j][k] < 32:
+                gray = 0
+            elif img[i, j][k] < 64:
+                gray = 32
+            elif img[i, j][k] < 96:
+                gray = 64
+            elif img[i, j][k] < 128:
+                gray = 96
+            elif img[i, j][k] < 160:
+                gray = 128
+            elif img[i, j][k] < 192:
+                gray = 160
+            elif img[i, j][k] < 224:
+                gray = 192
+            else:
+                gray = 224
+            new_img3[i, j][k] = np.uint8(gray)
+
+#用来正常显示中文标签
+plt.rcParams['font.sans-serif']=['SimHei']
+
+#显示图像
+titles = ['(a) 原始图像', '(b) 量化-L2', '(c) 量化-L4', '(d) 量化-L8']  
+images = [img, new_img1, new_img2, new_img3]  
+for i in range(4):  
+   plt.subplot(2,2,i+1), plt.imshow(images[i], 'gray'), 
+   plt.title(titles[i])  
+   plt.xticks([]),plt.yticks([])  
+plt.show()
