查找具有不同强度/亮度的相似图像 [英] Finding similar images with different intensities/brightness

问题描述

假设我的图像如下:

比较两个图像之间的相似性有什么选择?显然，它们是同一张图像，只是亮度不同.我找不到任何可行的方法，目前，我最好的选择是训练一个cnn或自动编码器并比较输出的特征向量，但这似乎有点过头了.任何提示将不胜感激.

What would be my options to compare the similarity between the two images? Obviously they are the same image just with different brightness. I couldn't find any plausible way for this and currently my best bet would be to train a cnn or autoencoder and compare the feature vectors of the outputs, but that just seems a bit overkill for this. Any tips would be appreciated.

推荐答案

相当健壮的工作解决方案(我测试过)是检查像素之间亮度符号变化的相关性.

Pretty robust working solution (I tested) is to check correlation of brightness sign changes between pixels.

即假设图像A和B循环了很多像素:

I.e. assuming images A and B, loop for significant number of pixels:

IF (
  (brightness of pixel 1 from A IS LARGER than brightness of pixel 2 from A)
  AND
  (brightness of pixel 1 from B IS LARGER than brightness of pixel 2 from B)
) {
  COUNTER++;
}

反之亦然.COUNTER越高，图像越相似.

And vice versa for opposite relationship. The higher the COUNTER the more similar are the images.

重要提示:我对(区域间)按比例缩小的图像(不是全尺寸)测试了该方法，因为全尺寸图像可能包含一些压缩伪像.我的直觉表明，无论如何，它都可以在全尺寸图像上工作，只是具有不同的阈值.如果不是，请按区域调整大小以保留良好的平均亮度值(类似于OpenCV中的INTER_AREA)，它将成功解决问题.

IMPORTANT: I tested the method on (inter-area) scaled-down images, not full size, as full size images may contain some compression artifacts. My intuition suggests it will work on full size images anyway, just with a different threshold. If not, resize by area to preserve well average brightness values (similar to INTER_AREA in OpenCV), and it will do the trick.

该方法的其他注释位于图像比较算法零件优化2.

Additional notes on the method are in image comparison algorithm part Optimization 2.

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