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

Authors:
M.-P. D. Jolly;A. Gupta
Affiliations:
-;-
Venue:
WACV '96 Proceedings of the 3rd IEEE Workshop on Applications of Computer Vision (WACV '96)
Year:
1996

Citing 0
Cited 2

State of the art on automatic road extraction for GIS update: a novel classification

Pattern Recognition Letters
Fuzzy clustering of color and texture features for image segmentation: a study on satellite image retrieval

Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology

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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.