在图像/帧序列中查找差异/相似度的算法 [英] Algorithms to find difference/similarity in a sequence of images/frames

问题描述

我正在寻找可以在给定的指定数量的图像/帧序列(例如2或10)中输出相似性或差异性的已知算法(也许是openCV函数).

I am searching for known algorithms (perhaps openCV function) that can output similarity or difference in a given specified number of sequence of images/frames (say 2 or 10).

期刊/会议文章也受到赞赏.谢谢.

Journal/conference article is also appreciated. Thank you.

推荐答案

您可以使用结构相似性索引

有关出版物，请查看标题为《 图像质量评估:从错误可见性到 Zou Wang在IEEE图像处理事务中的结构相似性

For related publication check out the paper titled Image Quality Assessment: From Error Visibility to Structural Similarity by Zou Wang in IEEE TRANSACTIONS ON IMAGE PROCESSING

OpenCV中没有任何可用的功能(据我所记得)，尽管scikit_image中有一个功能.这是from skimage.measure import structural_similarity as ssim行所提供的ssim模块.

There isn't any function available in OpenCV (as far as I can remember), though there si one in scikit_image. It is the ssim module made available by this line from skimage.measure import structural_similarity as ssim.

关于ssim的好处是它考虑了:

The good thing about ssim is it considers:

• 给定窗口内像素强度的平均值.
• 像素强度的方差
• 和协方差

• the mean of pixel intensities for within a given window.
• the variance of the pixel intensities
• and the covariance

链接论文的等式13中给出的公式包含上述三个.

The formula given in equation 13 of the linked paper contains the above three.

提供了一个示例实现这里

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