skimage SSIM
时间: 2023-09-14 14:03:07 浏览: 54
SSIM (Structural Similarity Index) is a metric used to measure the similarity between two images. It quantifies the perception of structural changes, luminance, and contrast distortions in the compared images. In the context of scikit-image (skimage), there is a module called "measure" that provides a function called "compare_ssim" to calculate SSIM.
Here's an example of how to use skimage's compare_ssim function:
```python
from skimage import io, measure
# Load the two images
image1 = io.imread('path_to_image1')
image2 = io.imread('path_to_image2')
# Calculate the SSIM value between the images
ssim_value = measure.compare_ssim(image1, image2)
print("The SSIM value is:", ssim_value)
```
Make sure to replace 'path_to_image1' and 'path_to_image2' with the actual paths to your images. The compare_ssim function returns a value between -1 and 1, where 1 indicates perfect similarity.
Note that scikit-image (skimage) is a popular Python library for image processing and computer vision tasks.
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