A deformable model-based image segmentation algorithm for shapes with corners
Zixin Zhang, M. Braun · 2002
Deformable models are generally applied to simple images with smooth region boundaries. Segmentation of objects with high curvature shapes (corners) is limited by the models' finite node density and their intrinsic smoothness constraint. Previous solutions to segmentation of objects with corners are based on relating the smoothness constraint at the candidate corner nodes. While allowing a contour to bend at those nodes, these solutions do not provide a force to propel nodes into corners. In this paper, we propose a deformable model algorithm for segmenting objects containing high curvature shapes with subresolution accuracy, which provides a driving force for nodes to slide into corners along object boundaries. The algorithm can be applied to both 2D and 3D deformable models.