1. 腐蚀
作用: 去毛点
image1 = mpimg.imread('./11.png')
plt.imshow(image1);
kernel = np.ones((3, 3), np.uint8)
image2 = cv2.erode(image1, kernel, iterations = 1)
plt.imshow(image2)
2. 膨胀
将腐蚀的结果,作为膨胀的输入,可以将细小事物变粗大。
kernel = np.ones((3, 3), np.uint8)
image3 = cv2.dilate(image2, kernel, iterations = 1)
plt.imshow(image3)
3. 开运算
先腐蚀再膨胀
image = mpimg.imread('11.png')
kernel = np.ones((3,3), np.uint8)
image1 = cv2.morphologyEx(image, cv2.MORPH_OPEN, kernel)
plt.imshow(image1);
4. 闭运算
先膨胀再腐蚀
image = mpimg.imread('11.png')
kernel = np.ones((3,3), np.uint8)
image1 = cv2.morphologyEx(image, cv2.MORPH_CLOSE, kernel)
plt.imshow(image1);