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

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3 Author(s)
Kung-Hao Liang ; Sch. of Eng., Warwick Univ., Coventry, UK ; Tjahjadi, T. ; Yang, Y.-H.

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

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Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on  (Volume:29 ,  Issue: 2 )