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

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 test...

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Bibliographic Details
Published inProceedings Third IEEE Workshop on Applications of Computer Vision. WACV'96 pp. 2 - 7
Main Authors Jolly, M.-P.D., Gupta, A.
Format Conference Proceeding
LanguageEnglish
Published IEEE 1996
Subjects
Algorithm design and analysis
Color
Educational institutions
Fractals
Geographic Information Systems
Image segmentation
Image texture analysis
Markov random fields
Maximum likelihood estimation
Testing
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Summary: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.
ISBN:9780818676208
0818676205
DOI:10.1109/ACV.1996.571985