如何使用compare_ssim
时间: 2023-12-25 14:06:20 浏览: 24
`compare_ssim`是用于计算结构相似性指标(SSIM)的函数,可以用于比较两幅图像的相似度。下面是使用`compare_ssim`的步骤:
1. 导入`skimage`库中的`compare_ssim`函数:
```python
from skimage.measure import compare_ssim
```
2. 读取两幅图像并转换为灰度图像:
```python
import cv2
img1 = cv2.imread('image1.jpg')
img2 = cv2.imread('image2.jpg')
gray1 = cv2.cvtColor(img1, cv2.COLOR_BGR2GRAY)
gray2 = cv2.cvtColor(img2, cv2.COLOR_BGR2GRAY)
```
3. 使用`compare_ssim`函数计算两幅图像的相似度:
```python
(score, diff) = compare_ssim(gray1, gray2, full=True)
```
其中,`score`是相似度得分,取值范围为0到1,1表示两幅图像完全相同;`diff`是两幅图像的差异图像,可以用于可视化两幅图像的不同之处。
完整代码如下:
```python
from skimage.measure import compare_ssim
import cv2
img1 = cv2.imread('image1.jpg')
img2 = cv2.imread('image2.jpg')
gray1 = cv2.cvtColor(img1, cv2.COLOR_BGR2GRAY)
gray2 = cv2.cvtColor(img2, cv2.COLOR_BGR2GRAY)
(score, diff) = compare_ssim(gray1, gray2, full=True)
print("SSIM score: {}".format(score))
```