(20-10-2025, 01:16 PM)Jorge_Stolfi wrote: You are not allowed to view links. Register or Login to view.That will not be the case, because Bayesian classification with Gaussian distributions is inherently non-linear, and usually extremely so.
Personally for me any deterministic result that is robust to minor changes in the source raw pixels values will work. So, if there is (R,G,B) -> (Ink, Paint, Vellum) (or whatever it is detecting), which always produces the same result for the same R, G, B and the result doesn't change a lot visually if I replace all original RGBs with (R + r1, G + r2, B + r3) were r1, r2, r3 are reasonably small random integers, say [-2, 2], then I'd say the whole pipeline looks reasonable. There will be a separate question of what exactly it's detecting, but highlighting all ink on the page that is obvious or has faded but certainly had been present in the past, while not highlighting a lot of empty space, would be a spectacular result. I couldn't achieve this.