Fronts propagating with curvature-dependent speed: algorithms based on Hamilton-Jacobi formulations
Journal of Computational Physics
Scale-Space and Edge Detection Using Anisotropic Diffusion
IEEE Transactions on Pattern Analysis and Machine Intelligence
Biased anisotropic diffusion: a unified regularization and diffusion approach to edge detection
Image and Vision Computing - Special issue on the first ECCV 1990
International Journal of Computer Vision
Boundary Smoothing via Symmetry Transforms
Journal of Mathematical Imaging and Vision
Viscosity Solutions of a Level-Set Method for Anisotropic Geometric Diffusion in Image Processing
Journal of Mathematical Imaging and Vision
Hi-index | 0.14 |
We show how optimization of the Nordström and Mumford-Shah functionals can be used to develop a type of curve-evolution that is able to preserve salient features of closed curves while simultaneously suppressing noise and irrelevant details. The idea is to characterize a curve by means of its angle-function and apply the appropriate dynamics to this representation. Upon convergence, the resulting form of the contour is reconstructed from the representation.