Accurate statistical tests for smooth classification images.
Despite an obvious demand for a variety of statistical tests adapted to classification images, few have been proposed. We argue that two statistical tests based on random field theory (RFT) satisfy this need for smooth classification images. We illustrate these tests on classification images representative of the literature from F. Gosselin and P. G. Schyns (2001) and from A. B. Sekuler, C. M. Gaspar, J. M. Gold, and P. J. Bennett (2004). The necessary computations are performed using the Stat4Ci Matlab toolbox.
Références
- Titre
- Accurate statistical tests for smooth classification images.
- Type de publication
- Article de revue
- Année de publication
- 2005
- Auteurs
- Chauvin A, Worsley KJ, Schyns PG, Arguin M, Gosselin F
- Revue
- J Vis
- Volume
- 5
- Ticket
- 9
- Pagination
- 659-67
- Date de publication
- 2005 Oct 05
- ISSN
- 1534-7362
- Mots-clés
- Classification, Diagnostic Imaging, Humans, Statistics as Topic
- DOI
- 10.1167/5.9.1
- Titre alternatif de la revue
- J Vis
Soumis le 9 juin 2022