A biologically motivated multiresolution approach to contour detection
EURASIP Journal on Applied Signal Processing
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans - Special section: Best papers from the 2007 biometrics: Theory, applications, and systems (BTAS 07) conference
Boolean derivatives with application to edge detection for imaging systems
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Review article: Edge and line oriented contour detection: State of the art
Image and Vision Computing
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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