Bounded diffusion for multiscale edge detection using regularized cubic B-spline fitting
Kung‐Hao Liang, Tardi Tjahjadi, Yee‐Hong Yang · IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) · 1999
This paper shows that in edge detection the regularization factor alpha is a better scale parameter than the standard deviation (sigma) of the Gaussian pre-filter. The alpha 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.