Image Segmentation Based on Intuitionistic Type-2 FCM Algorithm

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)

Article ID: 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

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References


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

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