Anisotropic contour completion

In this paper we introduce a novel application of the diffusion tensor for anisotropic image processing. The anisotropic contour completion (ACC) we suggest consists in extending the characteristic function of the open curve by means of a degenerated diffusion tensor that prevents any diffusion in the normal direction. We show that ACC is equivalent to a dilation with a continuous elliptic structural element that takes into account the local orientation of the contours to be closed. Experiments on contours extracted from real images show that ACC produces shapes able to adapt to any curve in an active contour framework.

[1]  Jerry L. Prince,et al.  Gradient vector flow deformable models , 2000 .

[2]  Joachim Weickert,et al.  Anisotropic diffusion in image processing , 1996 .

[3]  G. M.,et al.  Partial Differential Equations I , 2023, Applied Mathematical Sciences.

[4]  Jerry L. Prince,et al.  Generalized gradient vector flow external forces for active contours , 1998, Signal Process..

[5]  V. Caselles,et al.  A geometric model for active contours in image processing , 1993 .

[6]  Guillermo Sapiro,et al.  Geodesic Active Contours , 1995, International Journal of Computer Vision.

[7]  Guillermo Sapiro,et al.  Implementing continuous-scale morphology via curve evolution , 1993, Pattern Recognit..

[8]  Demetri Terzopoulos,et al.  Snakes: Active contour models , 2004, International Journal of Computer Vision.