Abstract
The strictly monotonic intensity profiles of ramp edges are mapped to a simple step function of intensity. Such a perfect sharpening of ramp edges can be used to define a differential operator nonlocally, in terms of which we can construct an edge detection algorithm to determine the edges of images effectively and adaptively to varying ramp widths.
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Kim, E.M., Pahk, C.S.: Strict Monotone of an Edge Intensity Profile and a New Edge Detection Algorithm. In: Liu, J., Cheung, Y.-m., Yin, H. (eds.) IDEAL 2003. LNCS, vol. 2690, pp. 975–982. Springer, Heidelberg (2003)
Marr, D., Hildreth, E.: Theory of edge detection. Proc. R. Soc. London B207, 187–217 (1980)
Canny, J.: A computational approach to edge detection. IEEE Trans. Pattern Anal. Mach. Intell. PAMI-8, 679–698 (1986)
Boie, R.A., Cox, I.: Two dimensional optimum edge recognition using matched and Wiener filters for machine vision. In: Proceedings of the IEEE First International Conference on Computer Vision, pp. 450–456. IEEE, New York (1987)
Qian, R.J., Huang, T.S.: Optimal Edge Detection in Two-Dimensional Images. IEEE Trans. Image Processing 5(7), 1215–1220 (1996)
Wang, Z., Rao, K.R., Ben-Arie, J.: Optimal Ramp Edge Detection Using Expansion Matching. IEEE Trans. Pattern Anal. Machine Intell. 18(11), 1586–1592 (1996)
Parker, J.R.: Algorithms for Image Processing and Computer Vision. Wiley, Chichester (1997); and references therein
Seul, M., O’Gorman, L., Sammon, M.J.: Practical Algorithms for Image Analysis. Cambridge U. Press, Cambridge (2000); and references therein
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Kim, E.M., Pahk, C.S., Lee, J.G. (2006). Optimal Edge Detection Using Perfect Sharpening of Ramp Edges. In: Gavrilova, M., et al. Computational Science and Its Applications - ICCSA 2006. ICCSA 2006. Lecture Notes in Computer Science, vol 3982. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11751595_125
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DOI: https://doi.org/10.1007/11751595_125
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-34075-1
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