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

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.