Fusion for Evaluation of Image Classification in Uncertain Environments

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dc.creatorMartin, Arnaud
dc.date2008-05-26
dc.date.accessioned2026-07-07T12:19:14Z
dc.date.available2026-07-07T12:19:14Z
dc.descriptionWe 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.
dc.identifierhttps://arxiv.org/abs/0805.3935
dc.identifierhttp://arxiv.org/abs/0805.3935
dc.identifierDans Proceeding of the 9th International Conference on Information Fusion - Information Fusion, Florence : Italie (2006)
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/212680
dc.subjectArtificial Intelligence
dc.subjectI.4; I.5
dc.titleFusion for Evaluation of Image Classification in Uncertain Environments
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