Vector texture features for colour images: construction and elements of comparison

Audrey Ledoux (1, 2) , Noël Richard (2) , Anne-Sophie Capelle-Laizé (2) , Mihai Ivanovici (3)

1 UP - Université de Poitiers = University of Poitiers
2 XLIM-SIC - SIC
3 MIV Imaging Venture Laboratory

In this paper, we explore an original way to compute texture features for colour images in a vector process. To do it, we used a dedicated approach for colour mathematical morphology using distance function. We show in this paper the scientific construction of morphological spectra. We compare the obtained morphological spectra using different colour mathematical morphology methods existing in from the literature. First classification results are given using a fractal image database.

Domaines: Traitement des images [eess.IV]

Audrey Ledoux, Noël Richard, Anne-Sophie Capelle-Laizé, Mihai Ivanovici. Vector texture features for colour images: construction and elements of comparison. 4th International Conference on Optimization of Electrical and Electronic Equipment (OPTIM), May 2014, Brasov, Romania. ⟨hal-01073669⟩