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A multistage, optimal active contour model

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4 Author(s)
Mao Wang ; Center for Biomed. Eng., Kentucky Univ., Lexington, KY, USA ; Evans, J. ; Hassebrook, L. ; Knapp, C.

Energy-minimizing active contour models or snakes can be used in many applications such as edge detection, motion tracking, image matching, computer vision, and three-dimensional (3-D) reconstruction. We present a novel snake that is superior both in accuracy and convergence speed over previous snake algorithms. High performance is achieved by using spline representation and dividing the energy-minimization process into multiple stages. The first stage is designed to optimize the convergence speed in order to allow the snake to quickly approach the minimum-energy state. The second stage is devoted to snake refinement and to local minimization of energy, thereby driving the snake to a quasiminimum-energy state. The third stage uses the Bellman (1957) optimality principle to fine-tune the snake to the global minimum-energy state. This three-stage scheme is optimized for both accuracy and speed

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Image Processing, IEEE Transactions on  (Volume:5 ,  Issue: 11 )