Evaluation for Uncertain Image Classification and Segmentation - ENSTA Bretagne - École nationale supérieure de techniques avancées Bretagne Accéder directement au contenu
Article Dans Une Revue Pattern Recognition Année : 2006

Evaluation for Uncertain Image Classification and Segmentation

Résumé

Each year, numerous segmentation and classification algorithms are invented or reused to solve problems where machine vision is needed. Generally, the efficiency of these algorithms is compared against the results given by one or many human experts. However, in many situations, the location of the real boundaries of the objects as well as their classes are not known with certainty by the human experts. Furthermore, only one aspect of the segmentation and classification problem is generally evaluated. In this paper we present a new evaluation method for classification and segmentation of image, where we take into account both the classification and segmentation results as well as the level of certainty given by the experts. As a concrete example of our method, we evaluate an automatic seabed characterization algorithm based on sonar images.
Fichier principal
Vignette du fichier
paper_eval2.pdf (797.49 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-00286593 , version 1 (11-06-2008)

Identifiants

Citer

Arnaud Martin, Hicham Laanaya, Andreas Arnold-Bos. Evaluation for Uncertain Image Classification and Segmentation. Pattern Recognition, 2006, 39 (11), pp.1987-1995. ⟨hal-00286593⟩
110 Consultations
441 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More