Title :
Color and texture fusion: application to aerial image segmentation and GIS updating
Author :
Jolly, Marie-Pierre Dubuisson ; Gupta, Alok
Author_Institution :
Siemens Corp. Res. Inc., Princeton, NJ, USA
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
Keywords :
geographic information systems; image colour analysis; image segmentation; image texture; maximum likelihood estimation; GIS updating; aerial image segmentation; certainty based fusion criterion; color image segmentation; color/texture fusion; complex system; maximum likelihood classification; mosaics; real color textures; real outdoor color scenes; texture information; Algorithm design and analysis; Color; Educational institutions; Fractals; Geographic Information Systems; Image segmentation; Image texture analysis; Markov random fields; Maximum likelihood estimation; Testing;
Conference_Titel :
Applications of Computer Vision, 1996. WACV '96., Proceedings 3rd IEEE Workshop on
Conference_Location :
Sarasota, FL
Print_ISBN :
0-8186-7620-5
DOI :
10.1109/ACV.1996.571985
