Color and multispectral texture characterization using pseudo-morphological tools

We propose a pseudo-morphology for color and multispectral images based on the maximum distance computed between colors in a given set. Distances are computed using the ΔE metric in the CIELAB color space or the Euclidean distance in Rⁿ in the multispectral case. Using the proposed pseudo-morphology, we compute the pseudo-granulometry and morphological covariance for color and multispectral images, comparing the results with the grayscale case, in order to evaluate the usefulness of these texture characterization tools.