Contour Parametrization via Anisotropic Mean Curvature Flows
This work addresses contour recognition in image processing, but appears incremental as it builds on existing anisotropic mean curvature flow methods.
The authors tackled contour recognition by implementing anisotropic mean curvature flow coupled with an external potential field, resulting in a method that constrains curve motion to match background images and includes a stability criteria for numerical approximation.
We present a new implementation of anisotropic mean curvature flow for contour recognition. Our procedure couples the mean curvature flow of planar closed smooth curves, with an external field from a potential of point-wise charges. This coupling constrains the motion when the curve matches a picture placed as background. We include a stability criteria for our numerical approximation.