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Fuzzy Logic based Edge Detection Method for Image Processing

International Journal of Electrical and Computer Engineering (IJECE) · Vol. 8 No. 3 (2018)

DOI
10.11591/ijece.v8i3.pp1863-1869
ISSN
2088-8708, 2088-8708
Published
2018-06-01
Publisher
Institute of Advanced Engineering and Science
License
creativecommons.org/licenses/by-nc/4.0

Abstract

Edge detection is the first step in image recognition systems in a digital image processing. An effective way to resolve many information from an image such depth, curves and its surface is by analyzing its edges, because that can elucidate these characteristic when color, texture, shade or light changes slightly. Thiscan lead to misconception image or vision as it based on faulty method. This work presentsa new fuzzy logic method with an implemention. The objective of this method is to improve the edge detection task. The results are comparable to similar techniques in particular for medical images because it does not take the uncertain part into its account.

Collaboration network of the authors

15 authors · 34 co-authorship links · 12 across different organisations

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • International Islamic University Malaysia
  • International Islamic University, Islamabad
  • University of Kuala Lumpur
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Amart SulongInternational Islamic University Malaysia1
Teddy Surya GunawanInternational Islamic University Malaysia1
Mira KartiwiInternational Islamic University Malaysia1
Hassan DaoUniversity of Kuala Lumpur1
Ahmad Imran IbrahimInternational Islamic University Malaysia1
Muazzin bin RohaizatInternational Islamic University Malaysia1
Ani Liza AsnawiInternational Islamic University Malaysia1
Ahmad Zamani JusohInternational Islamic University Malaysia1
Jusnaini MusliminInternational Islamic University, Islamabad1
Ahmad Fadzil IsmailInternational Islamic University Malaysia1
Huda Adibah Mohd RamliInternational Islamic University, Islamabad1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

This record comes from Crossref (what the publisher deposited), because the journal's own OAI-PMH endpoint could not be harvested.

Metadata source: Crossref API (cadangan, berdasarkan ISSN) https://api.crossref.org/journals/2088-8708/works, first harvested 27 Okt 2026, last seen 27 Okt 2026.
Metadata as oai_dc, converted from Crossref
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