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A TASOM-based algorithm for active contour modeling
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DOI：10.1016/S0167-8655(02)00377-X.png)
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Active contour modeling is a powerful technique for modeling object boundaries. Various methods introduced for this purpose, however, have certain difficulties such as getting stuck in local minima, poor modeling of long concavities, and producing inaccurate results when the initial contour is chosen simple or far from the object boundary. A modified form of time adaptive self-organizing map network with a variable number of neurons is proposed here for active contour modeling which does not show such difficulties and automatically determines the required number of control points. The initial contour for the object boundary can be defined inside, outside, or across the boundary. This contour can be open or closed, may be as simple as desired, and can be placed far from the object boundary. In addition, the boundary may contain long concavities. The proposed algorithm is tested for modeling different objects and shows very good performance. (C) 2002 Elsevier Science B.V. All rights reserved.
Keyword:
active contour modeling
snakes
self-organizing map
time adaptive
TASOM
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