title: Interactive Image Segmentation Framework Based On Control Theory.
abstract: 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.
authors.affiliation: Stony Brook University, Stony Brook, New York, USA.
authors.forename: Liangjia
authors.initials: L
authors.lastname: Zhu
authors.affiliation: Stony Brook University, Stony Brook, New York, USA.
authors.forename: Ivan
authors.initials: I
authors.lastname: Kolesov
authors.affiliation: Atlanta Agilent Technologies, Atalanta, Georgia, USA.
authors.forename: Peter
authors.initials: P
authors.lastname: Karasev
authors.affiliation: Stony Brook University, Stony Brook, New York, USA.
authors.forename: Allen
authors.initials: A
authors.lastname: Tannenbaum
keywords: Active Contours; Control Theory; Interactive Image Segmentation; Lyapunov Stability