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Reviewed article

Human Expert Fusion for Image Classification

How to cite:
Arnaud Martin, Christophe Osswald
"Human Expert Fusion for Image Classification"
Information & Security: An International Journal,
20,
(2006):
122-143.
http://dx.doi.org/10.11610/isij.2006

Human Expert Fusion for Image Classification

Source:

Information & Security: An International Journal,
Volume: 20,
p.122-143
(2006)

Abstract:

In image classification, merging the opinion of several human experts is very important for different tasks such as the evaluation or the training. Indeed, the ground truth is rarely known before the scene imaging. We propose here different models in order to fuse the informations given by two or more experts. The considered unit for the classification, a small tile of the image, can contain one or more kind of the considered classes given by the experts. A second problem that we have to take into account, is the amount of certainty of the expert has for each pixel of the tile. In order to solve these problems we define five models in the context of the Dempster-Shafer Theory and in the context of the Dezert-Smarandache Theory and we study the possible decisions with these models.

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20
Citations
Image Processing. Ecole nationale supérieure Mines-Télécom Atlantique
(2017):
Journal of Advances in Information Fusion
13,
no. 2
(2018):
Image & traitement de l’information, Faculté des Sciences Mathématiques, Physiques et Naturelles de Tunis
Docteur en informatique
(2017):
3rd International Conference on Information and Communication Technologies: From Theory to Applications
(2008):
20th International Conference on Information Fusion (Fusion)
(2017):