Bounded diffusion for multiscale edge detection using regularized cubic B-spline fitting

This paper shows that in edge detection the regularization factor α is a better scale parameter than the standard deviation (σ) of the Gaussian pre-filter. The α scale space, which exhibits the evolutionary behaviour of an edge in various scales, is the basis for the design of a multiscale edge detector (MRCBS). In MRCBS, the scale is determined adaptively according to the local noise level; the thresholds which control the amount of edge details are adjusted according to the scale; and the anisotropic diffusion is applied in the finest scale to further suppress noise