车牌识别 - 确定像素比较的颜色范围 [英] License Plate Recognition - Determining Color Range For Pixel Comparison

问题描述

经过关于车辆板检测的许多工作后，我决定简单地在图像中找到黄色像素的模式将是在图像中找到车牌位置的充分方法。目前我使用各种图形过滤器和检测白色像素模式，但是这证明越来越成问题。

现在的问题，我知道黄色是车牌是基于许多因素，如亮度，环境。

洞察这一点我需要一个范围来比较，例如：

if（FindIfYellow（GetPixel（x，y））））

但是我不知道是否使用RGB值， RGB值来确定颜色是否是黄色的阴影。最后是有一个网站或某种定义这些范围的信息？我知道

R：255
G：255
B：0

纯净的黄色，但在范围我不知道。无论如何，希望这是一个共鸣的想法，我发布的原因是确保我没有忽视的东西，因为我一直在做的频繁:)。

解决方案

使用CMYK频道分隔 - 让我们OCR的板！

使用其他图片重复此过程

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.

Now for the question, I'm aware that the 'yellow' are a license plate is based on numerous factors such as brightness, environment.

Insight of this I would need a range to compare to, for example:

if(FindIfYellow(GetPixel(x, y)))

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 B: 0

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 :).

解决方案

Using CMYK channel separation - Let's OCR the Plate!

Repeating the process with the other image

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