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

This paper describes a new 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 bring designed to assist an operator in updating an old map of an area using aerial images. (C) 2000 Elsevier Science B.V. All rights reserved.