Type II fuzzy image segmentation

Research output: Chapter in Book/Report/Conference proceedingChapter


Type II fuzzy sets are high-level representation of vague data with, compared to ordinary fuzzy sets, greater capability for uncertainty management. Theoretical aspects of type II fuzzy systems have been extensively investigated, and the research is still ongoing. Many image processing tasks accompanied with different types of imperfection. In this chapter, the applications of type II fuzzy sets for image segmentation will be discussed. Global and spatial type II segmentation schemes will be systematically introduced and examples will be provided.

Original languageEnglish (US)
Title of host publicationFuzzy Sets and Their Extensions
Subtitle of host publicationRepresentation, Aggregation and Models
EditorsHumberto Bustince, Francisco Herrera, Javier Montero
Number of pages13
StatePublished - 2008

Publication series

NameStudies in Fuzziness and Soft Computing
ISSN (Print)1434-9922

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Computational Mathematics


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