A local fuzzy thresholding methodology for multiregion image segmentation

@article{AjaFernndez2015ALF,
  title={A local fuzzy thresholding methodology for multiregion image segmentation},
  author={Santiago Aja-Fern{\'a}ndez and Ariel Hern{\'a}n Curiale and Gonzalo Vegas-S{\'a}nchez-Ferrero},
  journal={Knowl.-Based Syst.},
  year={2015},
  volume={83},
  pages={1-12}
}
Thresholding is a direct and simple approach to extract different regions from an image. In its basic formulation, thresholding searches for a global value that maximizes the separation between output classes. The use of a single hard threshold value is precisely the source of important segmentation errors in many scenarios like noisy images or uneven illumination. If no connectivity or closed objects are considered, the method is prone to produce isolated pixels. In this paper a new… CONTINUE READING

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