Image thresholding based on index of fuzziness and fuzzy similarity measure

Gulpi Qorik Oktagalu Pratamasunu, Zhencheng Hu, Agus Zainal Arifin, Anny Yuniarti, Dini Adni Navastara, Arya Yudhi Wijaya, Wijayanti Nurul Khotimah, Akira Asano

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

8 Citations (Scopus)

Abstract

In this paper, we propose an automatic image thresholding method based on an index of fuzziness and a fuzzy similarity measure. This work aims at overcoming the limitation of the existing method which is semi-supervised. Using an index of fuzziness, two initial regions of gray levels located at the boundaries of the histogram are defined based on the fuzzy region. Then the threshold point is found by using a fuzzy similarity measure. No prior knowledge of the image is required. Experiments on practical images illustrate the effectiveness of the proposed method.

Original languageEnglish
Title of host publication2015 IEEE 8th International Workshop on Computational Intelligence and Applications, IWCIA 2015 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages161-166
Number of pages6
ISBN (Electronic)9781479998869
DOIs
Publication statusPublished - 7 Apr 2016
Event8th IEEE International Workshop on Computational Intelligence and Applications, IWCIA 2015 - Hiroshima, Japan
Duration: 6 Nov 20157 Nov 2015

Publication series

Name2015 IEEE 8th International Workshop on Computational Intelligence and Applications, IWCIA 2015 - Proceedings

Conference

Conference8th IEEE International Workshop on Computational Intelligence and Applications, IWCIA 2015
Country/TerritoryJapan
CityHiroshima
Period6/11/157/11/15

Keywords

  • fuzzy similarity measure
  • image thresholding
  • index of fuzziness

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