Locally Adaptive Speed Functions for Level Sets in Image Segmentation

We propose a framework for locally adaptive level set functions. The impact of well-known speed terms for the evolution of the active contour is adjusted by parameterising them with functions based on pre-defined properties. This allows for the application of level set methods even if image features are subject; to large variations or if certain properties of the model are only valid for parts of the segmentation process. We present a number of examples and applications for the: proposed concept and also address advantages and drawbacks of combinations of locally adaptive speed terms.