The development of a microcomputer-based system for the automatic coun
ting of colonies of indicator organisms (that is, bacteria whose prese
nce is indicative of the presence of pathogens) trapped on membrane fi
lters from water samples is described here. Three different approaches
, based on mathematical morphology, distance transform and fuzzy c-mea
ns clustering respectively, are implemented and their relative perform
ances are discussed here.