add open+close

data/1.OpenCV初阶/2.二值图像处理/3.开运算与闭运算/close.md

+# 小鸊鷉橡皮擦(II)
+
+OpenCV 里先膨胀再腐蚀操作叫做“闭运算”。小鸊鷉(pi ti)的名片被小朋友画了几笔，尝试通过先腐蚀再膨胀修复，完成任务
+
+![](./img_closed.jpeg)
+
+框架代码如下：
+
+```python
+import numpy as np
+import cv2
+
+def close_op(img):
+    # TODO(You): 请在此实现代码
+
+if __name__ == '__main__':
+    img_origin = cv2.imread('bird.png', cv2.COLOR_BGR2LAB)
+
+    img_opened = open_op(img_origin)
+
+    img_all = np.concatenate((img_origin, img_opened), axis=1)
+    cv2.imwrite('img_opened.jpeg', img_all)
+    cv2.imshow('img: origin, erosion and dilation', img_all)
+
+    cv2.waitKey(0)
+    cv2.destroyAllWindows()
+
+```
+
+下面对开运算函数`def close_op(img):`实现正确的是？
+
+## 答案
+
+```python
+def close_op(img):
+    kernel = np.ones((3, 3), np.uint8)
+    img1 = cv2.dilate(img, kernel, iterations=1)
+    img2 = cv2.erode(img1, kernel, iterations=1)
+    return img2
+```
+
+## 选项
+
+### 都是对原图操作
+
+```python
+def close_op(img):
+    kernel = np.ones((3, 3), np.uint8)
+    img1 = cv2.dilate(img, kernel, iterations=1)
+    img2 = cv2.erode(img, kernel, iterations=1)
+    return img2
+```
+
+### 顺序不对
+
+```python
+def close_op(img):
+    kernel = np.ones((3, 3), np.uint8)
+    img1 = cv2.erode(img, kernel, iterations=1)
+    img2 = cv2.dilate(img1, kernel, iterations=1)
+    return img2
+```
+
+### 返回错误
+
+```python
+def close_op(img):
+    kernel = np.ones((3, 3), np.uint8)
+    img1 = cv2.dilate(img, kernel, iterations=1)
+    img2 = cv2.erode(img1, kernel, iterations=1)
+    return img1
+```

data/1.OpenCV初阶/2.二值图像处理/3.开运算与闭运算/close.py

+import numpy as np
+import cv2
+
+
+def close_op(img):
+    kernel = np.ones((3, 3), np.uint8)
+    img1 = cv2.dilate(img, kernel, iterations=1)
+    img2 = cv2.erode(img1, kernel, iterations=1)
+    return img2
+
+
+if __name__ == '__main__':
+    img_origin = cv2.imread('bird.png', cv2.COLOR_BGR2LAB)
+
+    img_closed = close_op(img_origin)
+
+    img_all = np.concatenate((img_origin, img_closed), axis=1)
+    cv2.imwrite('img_closed.jpeg', img_all)
+    cv2.imshow('img: origin, erosion and dilation', img_all)
+
+    cv2.waitKey(0)
+    cv2.destroyAllWindows()

data/1.OpenCV初阶/2.二值图像处理/3.开运算与闭运算/open.md

+# 小鸊鷉橡皮擦(I)
+
+OpenCV 里先腐蚀再膨胀操作叫做“开运算”。小鸊鷉(pi ti)的名片被小朋友画了几笔，尝试通过先腐蚀再膨胀修复，效果不明显
+
+![](./img_opened.jpeg)
+
+框架代码如下：
+
+```python
+import numpy as np
+import cv2
+
+def open_op(img):
+    # TODO(You): 请在此实现代码
+
+if __name__ == '__main__':
+    img_origin = cv2.imread('bird.png', cv2.COLOR_BGR2LAB)
+
+    img_opened = open_op(img_origin)
+
+    img_all = np.concatenate((img_origin, img_opened), axis=1)
+    cv2.imwrite('img_opened.jpeg', img_all)
+    cv2.imshow('img: origin, erosion and dilation', img_all)
+
+    cv2.waitKey(0)
+    cv2.destroyAllWindows()
+
+```
+
+下面对开运算函数`def open_op(img):`实现正确的是？
+
+## 答案
+
+```python
+def open_op(img):
+    kernel = np.ones((3, 3), np.uint8)
+    img1 = cv2.erode(img, kernel, iterations=1)
+    img2 = cv2.dilate(img1, kernel, iterations=1)
+    return img2
+```
+
+## 选项
+
+### 都是对原图操作
+
+```python
+def open_op(img):
+    kernel = np.ones((3, 3), np.uint8)
+    img1 = cv2.erode(img, kernel, iterations=1)
+    img2 = cv2.dilate(img, kernel, iterations=1)
+    return img2
+```
+
+### 顺序不对
+
+```python
+def open_op(img):
+    kernel = np.ones((3, 3), np.uint8)
+    img1 = cv2.dilate(img, kernel, iterations=1)
+    img2 = cv2.erode(img1, kernel, iterations=1)
+    return img2
+```
+
+### 返回错误
+
+```python
+def open_op(img):
+    kernel = np.ones((3, 3), np.uint8)
+    img1 = cv2.erode(img, kernel, iterations=1)
+    img2 = cv2.dilate(img1, kernel, iterations=1)
+    return img1
+```

data/1.OpenCV初阶/2.二值图像处理/3.开运算与闭运算/open.py

+import numpy as np
+import cv2
+
+
+def open_op(img):
+    kernel = np.ones((3, 3), np.uint8)
+    img1 = cv2.erode(img, kernel, iterations=1)
+    img2 = cv2.dilate(img1, kernel, iterations=1)
+    return img2
+
+
+if __name__ == '__main__':
+    img_origin = cv2.imread('bird.png', cv2.COLOR_BGR2LAB)
+
+    img_opened = open_op(img_origin)
+
+    img_all = np.concatenate((img_origin, img_opened), axis=1)
+    cv2.imwrite('img_opened.jpeg', img_all)
+    cv2.imshow('img: origin, erosion and dilation', img_all)
+
+    cv2.waitKey(0)
+    cv2.destroyAllWindows()