The topologically adaptable snake model, or simply Tsnakes,
is a useful tool for automatically identifying
multiple segments in an image. Recently, in [4], a novel
approach for controlling the topology of a T- snake was
introduced. That approach focuses on the loops formed
by the projected curve which is obtained at every stage
of the snake evolution. The idea is to make that curve the
image of a piecewise linear mapping of an adequate
class. Then, with the help of an additional structure, the
loop-tree, it is possible to decide in O(1) time whether
the region delimited by each loop has already been
explored by the snake. In the original proposal of the
Loop Snakes model, the snake evolution is limited to
contraction and there is only one T-snake that contracts
and splits during evolution. In this paper we generalize
the original model by allowing the contraction as well as
the expansion of several T-Snakes.