问题描述
我想设计一个程序，可以帮助我5 pre定义颜色哪一个更类似于一个可变的色彩，并用多少比例的评估。问题是，我不知道该怎么做一步的手动步骤。所以也就更难以想到的方案。
I want to design a program that can help me assess between 5 pre-defined colors which one is more similar to a variable color, and with what percentage. The thing is that I don't know how to do that manually step by step. So it is even more difficult to think of a program.
更多细节：颜色是从管凝胶，由于不同颜色的照片。我有5个管用不同的颜色分别为每个被重新的1 5的水平presentative。我想利用其他样品，并在电脑上的照片，以评估其水平样本属于比较颜色，我想知道，用近似的百分比了。我想一个程序，它是这样的：http://www.colortools.net/color_matcher.html
More details: The colors are from photographs of tubes with gel that as different colors. I have 5 tubes with different colors were each is representative of 1 of 5 levels. I want to take photographs of other samples and on the computer assess to which level that sample belongs by comparing colors, and I want to know that with a percentage of approximation too. I would like a program that does something like this: http://www.colortools.net/color_matcher.html
如果你能告诉我采取什么步骤，即使他们的事情，我想和做手工。这将是非常有益的。
If you can tell me what steps to take, even if they are things for me to think and do manually. It would be very helpful.
推荐答案
请参阅维基百科上色差文章权线索。基本上，你要计算在一些多维色彩距离度量。但RGB不是视觉上保持一致性，所以你的欧几里德RGB距离度量由瓦迪姆建议将不匹配的颜色之间的人类感知距离。一开始，的L * a * b *表旨在是一个感知上一致的色彩空间，并且DeltaE值度量是常用。但也有更精致的色彩空间和更精致的DeltaE公式，更接近匹配的人类感知。
See Wikipedia's article on Color Difference for the right leads.Basically, you want to compute a distance metric in some multidimensional colorspace.But RGB is not "perceptually uniform", so your Euclidean RGB distance metric suggested by Vadim will not match the human-perceived distance between colors. For a start, L*a*b* is intended to be a perceptually uniform colorspace, and the deltaE metric is commonly used. But there are more refined colorspaces and more refined deltaE formulas that get closer to matching human perception.
您将有更多地了解色彩空间和照明做转换。但对于一个快速公式比欧几里德RGB指标更好，只是这样的：假设你的RGB值都在sRGB的色彩空间，找到sRGB进行的L * a * b *的转换公式，转换sRGB的色彩来的L * a * b *表，和计算的DeltaE你的两个的L * a * b *值之间。这不计算成本的，它只是一些非线性公式和一些乘法，并补充说。
You'll have to learn more about colorspaces and illuminants to do the conversions. But for a quick formula that is better than the Euclidean RGB metric, just do this: assume that your RGB values are in the sRGB colorspace, find the sRGB to L*a*b* conversion formulas, convert your sRGB colors to L*a*b*, and compute deltaE between your two L*a*b* values. It's not computationally expensive, it's just some nonlinear formulas and some multiplies and adds.
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