Advanced algorithmic approaches to medical image segmentation
Frequency Domain Formulation of Active Parametric Deformable Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
G-wire: A livewire segmentation algorithm based on a generalized graph formulation
Pattern Recognition Letters
Dynamic chest image analysis: model-based perfusion analysis in dynamic pulmonary imaging
EURASIP Journal on Applied Signal Processing
Segmentation of Sequences of Stereoscopic Images for Modelling Artificial Muscles
IWINAC '07 Proceedings of the 2nd international work-conference on Nature Inspired Problem-Solving Methods in Knowledge Engineering: Interplay Between Natural and Artificial Computation, Part II
ACIVS'05 Proceedings of the 7th international conference on Advanced Concepts for Intelligent Vision Systems
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Since their debut in 1987, snakes (active contour models) have become a standard image analysis technique with several variants now in common use. We present a portable, reusable, software package called "United Snakes". The package unites the most popular snake variants, including finite difference, B-spline, and Hermite polynomial snakes within the mathematical framework of a general finite element formulation with a choice of shape functions. The package furthermore incorporates a recently proposed snake-like technique known as "livewire". We integrate snakes and livewire by introducing an effective method for imposing hard constraints on snakes. Our experiments demonstrate that snakes and livewire have complementary strengths and that their union offers a more powerful tool for interactive image analysis, especially for medical imaging applications. United Snakes is implemented in Java as a JavaBean so that it can easily be integrated in end-user application systems.