python+opencv 检查图片是否是花屏
时间: 2023-10-02 12:12:10 浏览: 123
使用Python和OpenCV可以检查一张图片是否存在花屏。实现步骤如下:
1. 安装OpenCV库:
```
pip install opencv-python
```
2. 导入所需的库:
```python
import cv2
import numpy as np
```
3. 加载图片:
```python
img = cv2.imread('image.jpg')
```
4. 将图片转换为灰度图:
```python
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
```
5. 对灰度图进行高斯模糊处理:
```python
blurred = cv2.GaussianBlur(gray, (5, 5), 0)
```
6. 计算原图和模糊图片之间的差异:
```python
diff = cv2.absdiff(gray, blurred)
```
7. 将差异图像二值化:
```python
thresh = cv2.threshold(diff, 25, 255, cv2.THRESH_BINARY)[1]
```
8. 统计差异的像素数量:
```python
diff_pixels = np.sum(thresh) / 255
```
9. 判断差异像素数量是否超过阈值:
```python
threshold = 0.1
ratio = diff_pixels / (img.shape[0] * img.shape[1])
if ratio > threshold:
print('图片可能存在花屏')
else:
print('图片没有花屏')
```
注意:以上代码仅供参考,具体实现可能需要根据具体需求进行修改。同时,由于花屏可能具有多种表现形式,因此需要根据实际情况进行调整阈值等参数。