  This paper is about the design of an automated machine to cut turbot fish
specimens. Machine vision is a key part of this project as it is used to
compute a cutting curve for the specimen head. This task is impossible to be
carried out by mechanical means. Machine vision is used to detect head boundary
and a robot is used to cut the head. Binarization and mathematical morphology
are used to detect fish boundary and this boundary is subsequently analyzed
(using Hough transform and convex hull) to detect key points and thus defining
the cutting curve. Afterwards, mechanical systems are used to slice fish to get
an easy presentation for end consumer (as fish fillets than can be easily
marketed and consumed).
