title: Bounded diffusion for multiscale edge detection using regularized cubic B-spline fitting.
abstract: 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.
authors.affiliation: Sch. of Eng., Warwick Univ., Coventry.
authors.forename: K H
authors.initials: KH
authors.lastname: Liang
authors.forename: T
authors.initials: T
authors.lastname: Tjahjadi
authors.forename: Y H
authors.initials: YH
authors.lastname: Yang