Quasi-global oppositional fuzzy thresholding

Hamid R. Tizhoosh, Farhang Sahba

Research output: Chapter in Book/Report/Conference proceedingConference contribution


Opposition-based computing is the paradigm for incorporating entities along with their opposites within the search, optimization and learning mechanisms. In this work, we introduce the notion of "opposite fuzzy sets" in order to use the entropy difference between a fuzzy set and its opposite to carry out object discrimination in digital images. A quasi-global scheme is used to execute the calculations, which can be employed by any other existing thresholding technique. Results for prostate ultrasound images have been provided to verify the performance whereas expert's markings have been used as gold standard.

Original languageEnglish (US)
Title of host publication2009 IEEE International Conference on Fuzzy Systems - Proceedings
Number of pages6
StatePublished - 2009
Event2009 IEEE International Conference on Fuzzy Systems - Jeju Island, Korea, Republic of
Duration: Aug 20 2009Aug 24 2009

Publication series

NameIEEE International Conference on Fuzzy Systems
ISSN (Print)1098-7584


Conference2009 IEEE International Conference on Fuzzy Systems
Country/TerritoryKorea, Republic of
CityJeju Island


  • Antony
  • Antonym
  • Complement
  • Fuzzy sets
  • Image thresholding
  • Opposite fuzzy sets
  • Opposition
  • Segmentation

ASJC Scopus subject areas

  • Software
  • Theoretical Computer Science
  • Artificial Intelligence
  • Applied Mathematics


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