python 处理图片黑色区域填充
时间: 2023-10-26 11:15:23 浏览: 223
下面是一种使用Python和OpenCV库来处理图片黑色区域填充的方法:
1. 导入必要的库:
```python
import cv2
import numpy as np
```
2. 读取图片:
```python
img = cv2.imread('image.jpg')
```
3. 将图片转换为灰度图像:
```python
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
```
4. 设置阈值并进行二值化处理:
```python
thresh = cv2.threshold(gray, 0, 255, cv2.THRESH_BINARY_INV + cv2.THRESH_OTSU)[1]
```
5. 查找边缘:
```python
cnts = cv2.findContours(thresh, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
cnts = cnts[0] if len(cnts) == 2 else cnts[1]
```
6. 遍历所有的边缘,并在其中填充黑色区域:
```python
for c in cnts:
cv2.drawContours(img, [c], -1, (0, 255, 0), -1)
```
7. 显示处理后的图片:
```python
cv2.imshow('image', img)
cv2.waitKey()
```
完整代码如下:
```python
import cv2
import numpy as np
img = cv2.imread('image.jpg')
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
thresh = cv2.threshold(gray, 0, 255, cv2.THRESH_BINARY_INV + cv2.THRESH_OTSU)[1]
cnts = cv2.findContours(thresh, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
cnts = cnts[0] if len(cnts) == 2 else cnts[1]
for c in cnts:
cv2.drawContours(img, [c], -1, (0, 255, 0), -1)
cv2.imshow('image', img)
cv2.waitKey()
```
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