Neural network for colored line detection?

Can I use a Neural Network to find at least 3 pixels (that have RGB or HSV values in a certain range) in a line? I would like to teach the network to accept when and when not accept the line, is possible to do such thing? The lines are scanned by a scann开发者_StackOverflower, when the network goes looking for some colored lines I first look at the paper with the real picture and then tell the network whether it should accept or not.

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Yes, you can, but it would be suboptimal.

Assuming you're only looking at a straight line(and not a full 2-dimensional page), you would have to call the neural network for every group of 3 adjacent pixels on the line(i.e. O(N) times).
And even then the task would be simple enough for you to program the solution directly.

A neural network is good at classifying things, not so much at finding things.
I.e. a good use for an NN would be to recognize handwritten letters on a line. A bad use for it would be to recognize where a line is on a page.