Coal is a non-homogeneous substance; it consists of different constitu
ents called macerals, each one characterized by its own set of propert
ies. Macerals differ from mineral constituents of rocks because they d
o not have a well defined chemical composition. The purpose of this pa
per is to describe the use of digital processing techniques based on t
he analyses of sample images to characterize coals taking into account
the reflectance-textural characteristics of macerals. These character
istics were recognized, analysed and modelled. A pattern vector charac
teristic of each maceral was thus identified. The procedure is based o
n the processing of data (digital images) acquired by means of reflect
ed light optical microscopy. Polished specimens of coal ores are consi
dered for the study. In such a way it is pointed out a suitable proced
ure for a quantitative characterization of the different macerals cons
tituting the coal.