Image thresholding using ultrafuzziness optimization based on type II fuzzy sets

Agus Zainal Arifin, Aidila Fitri Heddyanna, Hudan Studiawan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Citations (Scopus)

Abstract

Image thresholding is a critical process in digital image processing application. However, there are some disturbing factors like image vagueness and bad illumination resulting in not satisfied image thresholding output. Several fuzzy thresholding techniques are developed to remove graylevel ambiguity during threshold selection. One of the techniques is thresholding method using type II fuzzy sets. In this paper, we propose relaxation of the ultrafuzziness measurement by considering ultrafuzziness for background and object fuzzy sets separately. The proposed method optimizing ultrafuzziness to decrease uncertainty in fuzzy system used type II fuzzy sets. Experimental results on several images show the effectiveness of the proposed method.

Original languageEnglish
Title of host publicationInternational Conference on Instrumentation, Communication, Information Technology, and Biomedical Engineering 2009, ICICI-BME 2009
DOIs
Publication statusPublished - 2009
EventInternational Conference on Instrumentation, Communication, Information Technology, and Biomedical Engineering 2009, ICICI-BME 2009 - Bandung, Indonesia
Duration: 23 Nov 200925 Nov 2009

Publication series

NameInternational Conference on Instrumentation, Communication, Information Technology, and Biomedical Engineering 2009, ICICI-BME 2009

Conference

ConferenceInternational Conference on Instrumentation, Communication, Information Technology, and Biomedical Engineering 2009, ICICI-BME 2009
Country/TerritoryIndonesia
CityBandung
Period23/11/0925/11/09

Keywords

  • Fuzzy sets
  • Image thresholding
  • Type II fuzzy sets
  • Ultrafuzziness

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