导入skimage.metrics模块中的structural_similarity函数: 首先,确保你已经安装了scikit-image库。如果还没有安装,可以使用pip install scikit-image来安装。然后,在你的Python代码中导入structural_similarity函数: python from skimage.metrics import structural_similarity 准备两个需要比较相似度的图像: 你需要有两个图...
I've run test to compare performance onTID2013 databasewhich is often used in image quality assessment papers. Here is the results: structural_similarity() SRCC 0.5544, KRCC 0.3883 structural_similarity() with downsampling SRCC 0.7201, KRCC 0.5271 peak_signal_noise_ratio() SRCC 0.6869, KRCC ...
Image processing in Python. Contribute to scikit-image/scikit-image development by creating an account on GitHub.
scikit-image...升级后改变了库函数的结构,函数 skimage.measure.compare_ssim已经被 skimage.metrics.structural_similarity 取代。...只需要将: from skimage.measure import compare_ssim 修改为: from skimage.metrics import structural_similarity...参考:Is there a way to import compare_ssim for python IDLE...