Supervised pixel classification using a feature space derived from an artificial visual system
Lisa C. Baxter, James M. Coggins · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1991
Image segmentation involves labelling pixels according to their membership in image regions. This requires that we understand what a region is. Using supervised pixel classification, we investigate how groups of pixels labelled manually according to perceived image semantics map onto the feature space created by an Artificial Visual System. We investigate multiscale structure of regions and show that pixels form clusters based on their geometric roles in the image intensity function, not by image semantics. A tentative abstract definition of a "region" is proposed based on this behavior.