最“稳定"的颜色表示:RGB?HSV?CIELAB? [英] Most "stable" color representation : RGB? HSV? CIELAB?

问题描述

计算机科学中有几种颜色表示:标准的 RGB，还有 HSV、HSL、CIE XYZ、YCC、CIELAB、CIELUV ……在我看来，大多数时候，这些表示试图接近人类视觉(感知相同的颜色应该有相似的表现)

There are several color representations in computer science : the standard RGB, but also HSV, HSL, CIE XYZ, YCC, CIELAB, CIELUV, ... It seems to me that most of the times, these representation try to approximate human vision (colors perceptually identical should have similar representations)

但我想知道的是，在图片方面，哪种表示最稳定".我有一个物体，比方说一瓶可乐，我有成千上万张这个瓶子的照片，都是在非常不同的情况下拍摄的(主要区别是照片的明暗程度，但有方向等等......)

But what I want to know is which representation is the most "stable" when it comes to pictures. I have an object, let's say a bottle of Coke, and I have thousands of pictures of this bottle, taken under very different circumstances (the main difference would be the how light or dark the picture is, but there's orientation, etc...)

我的问题是:根据经验，哪种颜色表示可以最稳定地表示瓶子的颜色?标签的红色"颜色不应变化太大.好吧，我知道它会有所不同，但我想知道最稳定"的表示.

My question is : what color representation will empirically give me the most stable representation of the colors of the bottle? The "red" color of the label should not vary too much. Well, I'll know it will vary, but I would like to know the most "stable" representation.

我被告知 HSV 在这些方面比 RGB 更好，但我对其他方面一无所知.

I've been taught that HSV is better than RGB for these kind of things, but I have no clue for the rest.

编辑(技术细节):我取了瓶子的一个特定点.我在这一点的一千张图片中选择了相应的像素.我现在有一堆点，这取决于表示.我想要最小化这个云的大小"的表示，例如最小化云的点到其重心的平均距离的表示.

Edit (technical details) : I take a particular point of the bottle. I pick the corresponding pixels in a thousand pictures of this point. I now have a cloud of points, that depend on the representation. I want the representation that minimizes the "size" of this cloud, for example the one that minimizes the mean distance of the points of the cloud to its barycenter.

推荐答案

您可能想查看 http://www.cs.harvard.edu/~sjg/papers/cspace.pdf，它提出了一种新的色彩空间，显然旨在解决这个精确的问题.

You might want to check out http://www.cs.harvard.edu/~sjg/papers/cspace.pdf, which proposes a new colorspace apparently designed to address this precise question.

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