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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 :).
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North American license plates: it is highly recommended to setup the camera so there are at least 100 horizontal and 80 vertical pixels on the plate. The minimum setting is 75 horizontal pixels on a standard 1-foot license plate.
In the same way that Neural Networks try to process data like the human brain, Computer Vision attempts to see, identify, and process images in the way that human vision does. In this article we're going to detect one of the most used cases of Computer Vision, detecting license plates.
Repeating the process with the other image
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Is gold yellow? Is yellowish-orange yellow? How about yellow-green?
(My point being that this is a fuzzy definition for a human, let alone for a computer... just decide on a range that looks yellow to you and stick with it.)
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