Modelling a food microstructure by random sets

Abstract : Starting from scanning electron microscope images of some food products, we generate binary images of composite materials. After measuring the covariance and the probability for segments and for squares to be included in the dominant component, we develop a modelling of the microstructure from random sets obtained by thresholding Gaussian random functions. The covariance function of the underlying Gaussian random function is estimated from the experimental covariance of the food products. The validity of the model is checked by comparison of the probability curves for segments and for squares, measured on simulated and on initial images. The approach enables us to generate 3D realisations of the microstructure.
Type de document :
Article dans une revue
Image Analysis & Stereology, 2004, 23, pp.33-44
Liste complète des métadonnées

Littérature citée [19 références]  Voir  Masquer  Télécharger

https://hal.archives-ouvertes.fr/hal-00142174
Contributeur : Odile Adam <>
Soumis le : lundi 23 avril 2007 - 19:02:23
Dernière modification le : vendredi 27 octobre 2017 - 17:36:02
Document(s) archivé(s) le : mercredi 7 avril 2010 - 03:20:56

Fichier

04_Bron_Jeulin.pdf
Fichiers éditeurs autorisés sur une archive ouverte

Identifiants

  • HAL Id : hal-00142174, version 1

Collections

Citation

Frédéric Bron, Dominique Jeulin. Modelling a food microstructure by random sets. Image Analysis & Stereology, 2004, 23, pp.33-44. 〈hal-00142174〉

Partager

Métriques

Consultations de la notice

181

Téléchargements de fichiers

133