Abstract
In this paper, a method for edge detection in digital images based on morphological gradient technique in combination with Choquet integral, and the interval type-2 Choquet integral is proposed. The aggregation operator is used as a method to integrate the four gradients of the edge detector. Simulation results with real images and synthetic images are presented and the results show that the interval type-2 Choquet integral is able to improve the detected edge.
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Acknowledgment
We thank the MyDCI program of the Division of Graduate Studies and Research, UABC, Tijuana Institute of Technology, and the financial support provided by our sponsor CONACYT contract grant number: 189350.
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MartÃnez, G.E., Olivia Mendoza, D., Castro, J.R., Melin, P., Castillo, O. (2017). Choquet Integral and Interval Type-2 Fuzzy Choquet Integral for Edge Detection. In: Melin, P., Castillo, O., Kacprzyk, J. (eds) Nature-Inspired Design of Hybrid Intelligent Systems. Studies in Computational Intelligence, vol 667. Springer, Cham. https://doi.org/10.1007/978-3-319-47054-2_5
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DOI: https://doi.org/10.1007/978-3-319-47054-2_5
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