（1）自己计算饱和度

（2）计算云、薄云、天空云量的均值和标准差

.gitignore

@@ -42,3 +42,6 @@ coverage.xml
 
 # Sphinx documentation
 docs/_build/
+
+
+./photo

cloudage.py

@@ -49,9 +49,22 @@ def f3(image_path):
     img = cv2.imread(image_path)
     b, g, r = cv2.split(img)
 
-    # # 转到HSV空间
-    # hsv = cv2.cvtColor(img, cv2.COLOR_BGR2HSV)
-    # h, s, v = cv2.split(hsv)
+    # 自己计算饱和度-----> 失败：计算的饱和度不对，是负值
+    ones = np.ones_like(b)
+    sum = b + g + r
+    min_b_g_r = np.zeros_like(b)
+
+    for x in range(b.shape[0]):
+        for y in range(b.shape[1]):
+            minValue = min(b[x, y], g[x, y], r[x, y])
+            min_b_g_r[x, y] = minValue
+
+    tmp = (3/sum)*min_b_g_r
+    s_tc = ones - tmp
+
+    # 转到HSV空间
+    hsv = cv2.cvtColor(img, cv2.COLOR_BGR2HSV)
+    h1, s1, v1 = cv2.split(hsv)
 
     # 转到HLS空间
     hls = cv2.cvtColor(img, cv2.COLOR_BGR2HLS)  # 这就是ihs颜色空间：
@@ -81,9 +94,29 @@ def f3(image_path):
     cv2.destroyAllWindows()
 
 
+def jisuan(image_path):
+    img = cv2.imread(image_path)
+
+    hls = cv2.cvtColor(img, cv2.COLOR_BGR2HLS)  # 这就是ihs颜色空间：
+    h, l, s = cv2.split(hls)
+
+    mean = np.mean(s)
+    var = np.var(s)
+
+    print("均值为：%f\n" % mean)
+    print("方差为：%f\n" % var)
+
+
 if __name__ == '__main__':
-    image_path = r'D:\PycharmProjects\cloudage\photo\photo7.jpg'
-    # image_path = r'D:\PycharmProjects\cloudage\photo\cloud1_perfect.jpg'  # f3全为天空
-    f1(image_path)
-    f2(image_path)
-    f3(image_path)
+    train_image_path1 = r'D:\PycharmProjects\cloudage\train\sky.jpg'
+    train_image_path2 = r'D:\PycharmProjects\cloudage\train\cloude.jpg'
+    train_image_path3 = r'D:\PycharmProjects\cloudage\train\light cloud.jpg'
+    jisuan(train_image_path1)
+    jisuan(train_image_path2)
+    jisuan(train_image_path3)
+
+    # image_path = r'D:\PycharmProjects\cloudage\photo\photo12.jpg'
+    # # image_path = r'D:\PycharmProjects\cloudage\photo\cloud1_perfect.jpg'  # f3全为天空
+    # # f1(image_path)
+    # # f2(image_path)
+    # f3(image_path)