问题描述
好了之后就车牌检测大量的工作，我已经决定，只是发现一个图像中的黄色像素的'模式'将是一个图像中找到车牌的位置有足够的方法。目前我使用各种图形过滤器和检测白色像素的模式，然而，这被证明是越来越多的问题。
Well after much work regarding vehicle plate detection, I've decided that simply finding a 'pattern' of yellow pixels within an image would be a sufficient method of finding the location of a license plate within an image. Currently I use various graphic filters and detect white pixel patterns, however this is proving to be more and more problematic.
现在的问题，我知道，黄是一个车牌是基于多种因素，如亮度，环境。
Now for the question, I'm aware that the 'yellow' are a license plate is based on numerous factors such as brightness, environment.
这洞察我需要一个范围来比较，例如：
Insight of this I would need a range to compare to, for example:
如果（FindIfYellow（与getPixel（X，Y）））
if(FindIfYellow(GetPixel(x, y)))
但是我不知道是否使用RGB值，具体个人的RGB值，以确定该颜色是暗黄色的。最后就是有某种形式的定义这些范围的网站或信息？我知道
However I don't know if to use RGB values, specifically individual RGB values to determine if the color is a shade of yellow. Finally is there a website or information of some sort defining these ranges? I know
R：255
G：255
乙：0
R: 255G: 255B: 0
是最纯净的黄色，但在范围方面，我不知道。无论如何希望这是一个合理的想法，我职位的原因是为了确保我没有忽视的东西，因为我一直在做的频繁:)。
Is the purest of yellow, but in terms of range I have no idea. Anyway hopefully it's a resonable idea, and the reason I post is to ensure I haven't overlook something, as I have been doing frequently :).
推荐答案
重复该过程与其他图像的
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