Belief decision support and reject for textured images characterization

Details Belief decision support and reject for textured images characterization Belief decision support and reject for textured images characterization

2008-07-03

arxiv.org/abs/0807.0627v1

International Conference on Information Fusion, Lens : France (2008)

Computer Science

Artificial Intelligence

Scientific paper

The textured images' classification assumes to consider the images in terms of area with the same texture. In uncertain environment, it could be better to take an imprecise decision or to reject the area corresponding to an unlearning class. Moreover, on the areas that are the classification units, we can have more than one texture. These considerations allows us to develop a belief decision model permitting to reject an area as unlearning and to decide on unions and intersections of learning classes. The proposed approach finds all its justification in an application of seabed characterization from sonar images, which contributes to an illustration.

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