  Many bone shapes in the human skeleton are characterized by profiles that can
be associated to equations of algebraic curves. Fixing the parameters in the
curve equation, by means of a classical pattern recognition procedure like the
Hough transform technique, it is then possible to associate an equation to a
specific bone profile. However, most skeleton districts are more accurately
described by piecewise defined curves. This paper utilizes an iterative
approach of the Hough transform without re-voting, to provide an efficient
procedure for describing the profile of a bone in the human skeleton as a
collection of different but continuously attached curves.
