Toward a full-band texture features for spectral images

Audrey Ledoux (1, 2) , Noël Richard (3) , Anne-Sophie Capelle-Laizé (3) , Hilda Deborah (3) , Christine Fernandez-Maloigne (3)

1 XLIM - XLIM
2 UP - Université de Poitiers = University of Poitiers
3 XLIM-SIC - SIC

Facing the increasing number of multi and hyperspectral image acquisitions, in particular for medical and industrial applications, we need accurate features to analyse and assess the content complexity in a metrological way. In this paper, we explore an original way to compute texture features for spectral images in a full-band and vector process. To do it, we developed a dedicated approach for Mathematical Morphology using distance function. Thanks to this, we extend the classical mathematical morphology to spectral images. We show in this paper the scientific construction and preliminary results.

Domaines: Traitement des images [eess.IV]

Audrey Ledoux, Noël Richard, Anne-Sophie Capelle-Laizé, Hilda Deborah, Christine Fernandez-Maloigne. Toward a full-band texture features for spectral images. International Conference on Image Processing (ICIP), Oct 2014, Paris, France. ⟨hal-01073666⟩