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Register a new userBelief decision support and reject for textured images characterization
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Added by
Arnaud Martin
Publication date
2008
fields
Informatics Engineering
and research's language is
English
Authors
Arnaud Martin
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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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