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Strict Monotone of an Edge Intensity Profile and a New Edge Detection Algorithm

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Intelligent Data Engineering and Automated Learning (IDEAL 2003)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2690))

Abstract

As a characteristic behavior of edge signal intensity, the strictly monotonic variation of intensity across an edge is employed to propose a new criterion for identifying edges beyond scaling. Instead of the usual local operator such as the gradient, we extend the directional derivative to define a nonlocal operator, in terms of which we can describe a new edge detection algorithm adaptive to the variation of edge width.

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© 2003 Springer-Verlag Berlin Heidelberg

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Kim, E.M., Pahk, C.S. (2003). Strict Monotone of an Edge Intensity Profile and a New Edge Detection Algorithm. In: Liu, J., Cheung, Ym., Yin, H. (eds) Intelligent Data Engineering and Automated Learning. IDEAL 2003. Lecture Notes in Computer Science, vol 2690. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45080-1_138

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  • DOI: https://doi.org/10.1007/978-3-540-45080-1_138

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40550-4

  • Online ISBN: 978-3-540-45080-1

  • eBook Packages: Springer Book Archive

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