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

fYear

1996

fDate

2-4 Dec 1996

Firstpage

2

Lastpage

7

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Applications of Computer Vision, 1996. WACV '96., Proceedings 3rd IEEE Workshop on

Conference_Location

Sarasota, FL

Print_ISBN

0-8186-7620-5

Type

conf

DOI

10.1109/ACV.1996.571985

Filename

571985