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Fusion for Evaluation of Image Classication in Uncertain Environments

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1 Author(s)
A. Martin ; E3I2 EA3876, ENSIETA, 2 rue Francois Verny, 29806 Brest Cedex 09, France.

We present in this article a new evaluation method for classification and segmentation of textured images in uncertain environments. In uncertain environments, real classes and boundaries are known with only a partial certainty given by the experts. Most of the time, in many presented papers, only classification or only segmentation are considered and evaluated. Here, we propose to take into account both the classification and segmentation results according to the certainty given by the experts. We present the results of this method on a fusion of classifiers of sonar images for a seabed characterization

Published in:

2006 9th International Conference on Information Fusion

Date of Conference:

10-13 July 2006