Image segmentation via an adaptive “filtered” scheme based on a modified level-set method

This seminar addresses the problem of image segmentation through an accurate high-order scheme based on the level-set method. In this approach, the curve evolution is described as the 0-level set of a representation function, but the velocity that drives the curve to the boundary of the object has been modified in order to obtain a new velocity with additional properties that are extremely useful to develop a more stable high-order approximation with a small additional cost. The approximation scheme proposed here is the 2D version of an adaptive “filtered” scheme, which combines two building blocks (a monotone scheme and a high-order scheme) via a filter function and smoothness indicators that allow one to detect the regularity of the approximate solution adapting the scheme in an automatic way. Some numerical tests on synthetic and real images confirm the accuracy of the proposed method and the advantages given by the new velocity.