ABSTRACT
In this chapter we use Bessel function as a smoothing kernel for scale space analysis and corner detection on digital curves. The scale space behavior of different corner models such as Γ model, END model and STAIR model is analyzed. The scale space map of a digital curve is converted into a tree representation and corners are detected and located in a process of interpreting the tree. The numerical problems that arise in the implementation are addressed and feasible solutions are proposed.
