Segmentation of gray scale image based on intuitionistic fuzzy sets constructed from several membership functions

@article{Ananthi2014SegmentationOG,
  title={Segmentation of gray scale image based on intuitionistic fuzzy sets constructed from several membership functions},
  author={V. P. Ananthi and Pagavathigounder Balasubramaniam and Chee Peng Lim},
  journal={Pattern Recognition},
  year={2014},
  volume={47},
  pages={3870-3880}
}
Segmentation is the process of extraction of objects from an image. This paper proposes a new algorithm to construct intuitionistic fuzzy set (IFS) from multiple fuzzy sets as an application to image segmentation. Hesitation degree in IFS is formulated as the degree of ignorance (due to the lack of knowledge) to determine whether the chosen membership function is best for image segmentation. By minimizing entropy of IFS generated from various fuzzy sets, an image is thresholded. Experimental… CONTINUE READING

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