Active contours without edges

Active Contours without Edges

1 ACTIVE CONTOURS WITHOUT EDGES Chan and Vese [1] proposed an approximation for the MS segmentation model by following the level-set based curve evolution formulation [2, 3]. Level sets provide an implicit contour representation where an evolving curve is represented with the zerolevel line of a level set function (Figure 1). The basic aim of Chan and Vese (CV) model is to partition a given ima...

Active contours without edges

We propose a new model for active contours to detect objects in a given image, based on techniques of curve evolution, Mumford-Shah (1989) functional for segmentation and level sets. Our model can detect objects whose boundaries are not necessarily defined by the gradient. We minimize an energy which can be seen as a particular case of the minimal partition problem. In the level set formulation...

Active Contours without Edges for Vector - Valued

Active Contours without Edges for Vector-Valued Images

In this paper, we propose an active contour algorithm for object detection in vectorvalued images (such as RGB or multispectral). The model is an extension of the scalar Chan–Vese algorithm to the vector-valued case [1]. The model minimizes a Mumford–Shah functional over the length of the contour, plus the sum of the fitting error over each component of the vector-valued image. Like the Chan–Ve...

SUBMITTED TO IEEE TRANSACTIONS ON IMAGE PROCESSING Active contours without edges

In this paper we propose a new model for active contours to detect objects in a given image based on techniques of curve evolution Mumford Shah functional for segmentation and level sets Our model can detect objects whose boundaries are not necessarily de ned by gradi ent We minimize an energy which can be seen as a particular case of the so called minimal partition problem In the level set for...