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

Guillaume Noyel (1) , Michel Jourlin (1, 2)

1 IPRI - International Prevention Research Institute
2 LHC - Laboratoire Hubert Curien

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.

Mots clés: Asplünd 's metric; spatio-colour metric; colour Logarithmic Image Processing; double-sided probing; colour pattern recognition

Domaines: Vision par ordinateur et reconnaissance de formes [cs.CV]; Traitement des images [eess.IV]

Guillaume Noyel, Michel Jourlin. Spatio-colour Asplünd 's metric and Logarithmic Image Processing for Colour Images (LIPC). 2016. ⟨hal-01316581v1⟩