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Edge Detection Based on Ordered Directionally Monotone Functions

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Advances in Fuzzy Logic and Technology 2017 (EUSFLAT 2017, IWIFSGN 2017)

Abstract

We present an image edge detection algorithm that is based on the concept of ordered directionally monotone functions, which permit our proposal to consider the direction of the edges at each pixel and perform accordingly. The results of this method are presented to the EUSFLAT 2017 Competition on Edge Detection.

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Notes

  1. 1.

    http://irafm.osu.cz/edge2017/main.php.

References

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Acknowledgments

This work is supported by the research services of Universidad Publica de Navarra and by the project TIN2016-77356-P (AEI/FEDER, UE).

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Correspondence to Mikel Sesma-Sara .

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Sesma-Sara, M., Bustince, H., Barrenechea, E., Lafuente, J., Kolsesárová, A., Mesiar, R. (2018). Edge Detection Based on Ordered Directionally Monotone Functions. In: Kacprzyk, J., Szmidt, E., Zadrożny, S., Atanassov, K., Krawczak, M. (eds) Advances in Fuzzy Logic and Technology 2017. EUSFLAT IWIFSGN 2017 2017. Advances in Intelligent Systems and Computing, vol 643. Springer, Cham. https://doi.org/10.1007/978-3-319-66827-7_27

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  • DOI: https://doi.org/10.1007/978-3-319-66827-7_27

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-66826-0

  • Online ISBN: 978-3-319-66827-7

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