I. Epifanio, J. Domingo, and G. Ayala(Spain)
texture analysis, functional data analysis, size distributions, mathematical morphology, curve discrimination.
This paper is mainly concerned with texture classiﬁcation.
Classical descriptors used in texture classiﬁcation are granulometric size distributions . They are a particular case
of the spatial size distributions introduced in , which
gave very good results in texture classiﬁcation. As these
size distributions are functions, in order to improve the
classiﬁcation in these cases, we propose to use the recent
functional data analysis techniques , instead of the classical use of raw data (with selection procedure) or moments
of these distributions. A typical experimental set up has
been performed on a small texture database. The results
show the superior performance obtained by using functional discrimination, in concrete with the penalized discriminant analysis introduced by , and ICA coefﬁcients