This paper presents a technique for the recognition of objects which a
re both complex and coloured. The transformation of the colour cluster
is designed to obtain a colour set which makes it possible to use the
colour cluster information for n-tuple classification. Generally, if
two objects have different colour patterns, their colour clusters will
be different. Therefore, the colour cluster is an important character
istic for coloured object recognition. Further processing takes place,
where some colour planes are sliced from the colour set, and every pl
ane is sampled separately and applied to a classifier based on the n-t
uple technique of pattern recognition. The colour cluster called 'pure
colour information' is position invariant. Therefore, the system has
one great advantage of position invariant inspection for coloured obje
cts. The system interrogation time is always the same for whatever the
complexity of the object, which is another advantage of the technique
for the inspection of complex objects. Preliminary results using thes
e techniques have shown promise in the classification and inspection o
f various artefacts.