Image Segmentation Based on Intuitionistic Type-2 FCM Algorithm

Authors

  • Zhongqiang Pan Jiangsu University of Science and Technology, School of Computer Science and Engineering, ZhenJiang, 212003, China
  • Xiangjian Chen

    Jiangsu University of Science and Technology, School of Computer Science and Engineering, ZhenJiang, 212003, China

DOI:

https://doi.org/10.30564/jcsr.v2i3.2118

Abstract

Due to using the fuzzy clustering algorithm, the accuracy of image segmentation is not high enough. So one hybrid clustering algorithm combined with intuitionistic fuzzy factor and local spatial information is proposed. Experimental results show that the proposed algorithm is superior to other methods in image segmentation accuracy and improves the robustness of the algorithm.

Keywords:

Image segmentation, Rough sets, Intuitionistic type-2 fuzzy c-means clustering

References

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How to Cite

Pan, Z., & Chen, X. (2020). Image Segmentation Based on Intuitionistic Type-2 FCM Algorithm. Journal of Computer Science Research, 2(3), 14–16. https://doi.org/10.30564/jcsr.v2i3.2118

Issue

Vol. 2 , Iss. 3 (July 2020)

Article Type

Article

License

Copyright © 2020 Author(s)

Creative Commons License

This is an open access article under the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) License.

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