Abstract
This paper presents the optimization of the antecedent parameters for a system of edge detection based on Sobel technique combined with interval type-2 fuzzy logic. For the optimization of the fuzzy inference system, the cuckoo search (CS) algorithm is applied, the idea is to find the design parameters of an IT2-FLS and achieve better results in applications of edge detection for digital images.
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Acknowledgments
We thank the MyDCI program of UABC University, the Division of Graduate Studies and Research of Tijuana Institute of Technology and the financial support provided by CONACYT Contract Grant Number: 44524.
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Gonzalez, C.I., Castro, J.R., Mendoza, O., Melin, P., Castillo, O. (2016). Optimization by Cuckoo Search of Interval Type-2 Fuzzy Logic Systems for Edge Detection. In: Zadeh, L., Abbasov, A., Yager, R., Shahbazova, S., Reformat, M. (eds) Recent Developments and New Direction in Soft-Computing Foundations and Applications. Studies in Fuzziness and Soft Computing, vol 342. Springer, Cham. https://doi.org/10.1007/978-3-319-32229-2_11
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DOI: https://doi.org/10.1007/978-3-319-32229-2_11
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