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One thing I would like to research is the fact that once you map colors into lab space you end up with a point cloud with clusters around the primary colors. the problem then becomes using AI techniques to find the "peaks" in this data, and finding how the results from that step statistically match up to human perception of primary colors. This ends up being a similar problem to signal processing the output from a capacitive touch screen. The processor at a low level simply receives a 2D capacitance image from which it must extract the center points of fingers and their sizes- And there is a broad range of literature to find on this more generalized problem of "peak detection".


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