This paper addresses the issue of optimal scale selection for circular edge extraction in the context of higher dimensional multiscale edge extraction. Based on a classification of higher dimensional edges according to local curvature, we exemplarily establish a 2-D circular edge model. Through a careful mathematical derivation, we transform the circular edge model from Cartesian coordinates for which the analytical solution is unknown into polar coordinates. Utilizing this edge model we develop a novel theoretical framework for optimal scale selection for circular edge extraction through which the effects of curvature as related to scale can be analyzed. Moreover, we carry out a validation study in order to investigate on the level of principal performance how well the experimental results obtained from application of the developed framework to 2-D synthetic images match the theoretical results. © Springer-Verlag Berlin Heidelberg 2003.
CITATION STYLE
Lim, J. Y., & Stiehl, H. S. (2003). Optimal scale selection for circular edge extraction. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2781, 36–43. https://doi.org/10.1007/978-3-540-45243-0_6
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