Title :
DEB: Definite Error Bounded Tangent Estimator for Digital Curves
Author :
Prasad, Dilip K. ; Leung, Maylor K. H. ; Quek, Chai ; Brown, Michael S.
Author_Institution :
Sch. of Comput., Nat. Univ. of Singapore, Singapore, Singapore
Abstract :
We propose a simple and fast method for tangent estimation of digital curves. This geometric-based method uses a small local region for tangent estimation and has a definite upper bound error for continuous as well as digital conics, i.e., circles, ellipses, parabolas, and hyperbolas. Explicit expressions of the upper bounds for continuous and digitized curves are derived, which can also be applied to nonconic curves. Our approach is benchmarked against 72 contemporary tangent estimation methods and demonstrates good performance for conic, nonconic, and noisy curves. In addition, we demonstrate a good multigrid and isotropic performance and low computational complexity of O(1) and better performance than most methods in terms of maximum and average errors in tangent computation for a large variety of digital curves.
Keywords :
computational complexity; computer vision; DEB; computational complexity; computer vision; definite error bounded tangent estimator; digital conics; digital curves; geometric-based method; image processing; isotropic performance; multigrid performance; noisy curves; nonconic curves; Computational complexity; Equations; Estimation; Noise measurement; Optimization; Shape; Upper bound; Digitization; digital curves; tangent estimation;
Journal_Title :
Image Processing, IEEE Transactions on
DOI :
10.1109/TIP.2014.2346018