  Image segmentation is a fundamental problem in computational vision and
medical imaging. Designing a generic, automated method that works for various
objects and imaging modalities is a formidable task. Instead of proposing a new
specific segmentation algorithm, we present a general design principle on how
to integrate user interactions from the perspective of feedback control theory.
Impulsive control and Lyapunov stability analysis are employed to design and
analyze an interactive segmentation system. Then stabilization conditions are
derived to guide algorithm design. Finally, the effectiveness and robustness of
proposed method are demonstrated.
