Color and texture fusion: application to aerial image segmentation and GIS updating

Abstract

The paper describes an algorithm for combining color and texture information for the segmentation of color images. The algorithm uses maximum likelihood classification combined with a certainty based fusion criterion. The algorithm was validated using mosaics of real color textures. It was also tested on real outdoor color scenes and aerial images. This algorithm is part of a more complex system which is currently being designed to assist an operator in updating an old map of an area using aerial images.