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

This paper shows that in edge detection the regularization factor a is a be tter scale parameter than the standard deviation (sigma) of the Gaussian pr e-filter. The a scale space, which exhibits the evolutionary behavior of an edge in various scales, is the basis for the design of a multiscale edge d etector (MRCBS). In MRCBS, the scale is determined adaptively according to the local noise level; the thresholds which control the amount of edge deta ils are adjusted according to the scale; and the anisotropic diffusion is a pplied in the finest scale to further suppress noise.