We consider Whittle's probabilistic content addressable memory, the an
tiphon, which is designed for recovering stored patterns from nonlinea
r distorsions of the input messages. We give an application to content
-based image retrieval systems and propose canonical ways of choosing
similarity thresholds ensuring statistical consistency.