在這份畢業論文中以Level Set為基礎所撰寫的分散式的主動輪廓相關論文。一般所知Snake以及GVF等方法對於凹陷處並無法有效克服；且因其透過gradient邊界判別，因此無法辦別漸層邊緣輪廓。本篇論文方法之一便是在初始狀態與snake相同的情況下，可以捕捉到snake無法進入的凹槽；而漸層邊緣也可辦別。本論文中的另一方法則可捉取物件封閉內側的輪廓，這也是Snake無法達成之處。 In this paper, we propose a model for active contours to detect object in a given image. This model based on techniques of curve evolution with level set method, and detect object’s boundaries are not necessarily defined by gradient. The advantage of the level set method is that one can perform numerical computations involving curves and surfaces on a fixed Cartesian grid without to parameterize these object. And the level set method makes it very easy to follow shapes that change topology, for example, shape splites in two or two shapes merge to in one.
