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 an interactive segmentation system. The effectiveness and robustness of the proposed method are demonstrated.
Year
DOI
Venue
2015
10.1117/12.2082359
Proceedings of SPIE
Keywords
DocType
Volume
Interactive Image Segmentation,Control Theory,Lyapunov Stability,Active Contours
Conference
9413
ISSN
Citations 
PageRank 
0277-786X
0
0.34
References 
Authors
11
5
Name
Order
Citations
PageRank
Liangjia Zhu1929.07
Ivan Kolesov2173.45
vadim ratner300.34
Peter Karasev4153.86
Allen Tannenbaum53629409.15