Single-channel nonlinear processor for color optical pattern recognition

We introduce a single channel color nonlinear pattern recognition method. Usually, for color pattern recognition methods, the color are processed and finally its correlation outputs are combined. This is the definition of the common multichannel method. We take the input and reference scenes and we decompose them into their red, green and blue channels to obtain an amplitude and phase distribution. In this paper we study the correlations for highly noisy input iamges. These results are obtained by means of the sliced orthogonal nonlinear generalized correlation which detects the target with high discrimination capability in cases where other methods do not succeed.

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