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In this paper we present an alternative approach to symbolic segmentation;instead of implementing a new method we approach symbolic segmentation as analgorithm selection problem. That is, let there be $n$ available algorithms forsymbolic segmentation, a selection mechanism forms a set of input features andimage attributes and selects on a case by case basis the best algorithm. Theselection mechanism is demonstrated from within an algorithm framework wherethe selection is done in a set of various algorithm networks. Two sets ofexperiments are performed and in both cases we demonstrate that the algorithmselection allows to increase the result of the symbolic segmentation by aconsiderable amount.

Symbolic Segmentation Using Algorithm Selection