Statistical spectrum discrimination for endoscopic imaging

We design spectral functions for endoscopic color filters by applying a statistical classification method to discriminate between human gastric spectra of normal and bloody tissues. Estimated RGB color images are generated from light intensities taken through the color discriminant filters. We propose a visualization method for future electronic endoscopes which can display conventional color images with effective enhancement of bloody areas.