Interactive image segmentation framework based on control theory
Liangjia Zhu, Ivan Kolesov, Vadim Ratner, Peter A. Karasev, Allen Tannenbaum · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2015
Segmentation of anatomical structures in medical imagery is a key step in a variety of clinical applications. Designing a generic, automated method that works for various structures and imaging modalities is a daunting task. Instead of proposing a new specific segmentation algorithm, in this paper, we present a general design principle on how to integrate user interactions from the perspective of control theory. In this formulation, Lyapunov stability analysis is employed to design and analyze an interactive segmentation system. The effectiveness and robustness of the proposed method are demonstrated.