Spatio-colour Asplünd 's metric and Logarithmic Image Processing for Colour Images (LIPC) - Archive ouverte HAL
Communication Dans Un Congrès Année : 2016

Spatio-colour Asplünd 's metric and Logarithmic Image Processing for Colour Images (LIPC)

Résumé

Asplünd 's metric, which is useful for pattern matching, consists in a double-sided probing, i.e. the over-graph and the sub-graph of a function are probed jointly. This paper extends the Asplünd 's metric we previously defined for colour and multivariate images using a marginal approach (i.e. component by component) to the first spatio-colour Asplünd 's metric based on the vectorial colour LIP model (LIPC). LIPC is a non-linear model with operations between colour images which are consistent with the human visual system. The defined colour metric is insensitive to lighting variations and a variant which is robust to noise is used for colour pattern matching.
Fichier principal
Vignette du fichier
NoyelJourlin_CIARP2016_08_30.pdf (2.68 Mo) Télécharger le fichier
NoyelJourlin_CIARP2016_Presentation.pdf (2.82 Mo) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)
Origine Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-01316581 , version 1 (17-05-2016)
hal-01316581 , version 2 (14-11-2016)
hal-01316581 , version 3 (31-01-2017)

Licence

Identifiants

Citer

Guillaume Noyel, Michel Jourlin. Spatio-colour Asplünd 's metric and Logarithmic Image Processing for Colour Images (LIPC). CIARP2016 - XXI IberoAmerican Congress on Pattern Recognition, International Association for Pattern Recognition (IAPR), Nov 2016, Lima, Peru. ⟨hal-01316581v2⟩
324 Consultations
138 Téléchargements

Altmetric

Partager

More