Objective Performance Comparison Between Edge Detection Algorithms

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dc.contributor.authorOduncuoğlu, Ramazan Emre
dc.contributor.authorÖztimur Karada?, Özge
dc.date.accessioned2026-01-24T12:20:42Z
dc.date.available2026-01-24T12:20:42Z
dc.date.issued2022
dc.departmentAlanya Alaaddin Keykubat Üniversitesi
dc.description.abstractThe success of edge detection operators is very important for computer vision algorithms. A well-drawn edge map will play a vital role in the performance of all subsequent operations. In this study, various city photographs were taken, and a standard set of preprocessing was performed. These obtained images were processed by selected Canny, Sobel and Prewitt edge detection algorithms and compared in terms of performance using real reference value data. In these comparisons, the success of the edge detection algorithms was evaluated by the methods of precision, sensitivity, and f-score calculations. In our literature review, we did not encounter any studies using these criteria in evaluating the performance of edge detection operators. In this study, we evaluated the performances of the Canny, Sobel and Prewitt edge detection operators with these three criteria. Programs and code fragments used for image processing and comparison of algorithms are included in this study. According to the results obtained, no significant superiority could be detected between the Canny, Sobel, or Prewitt edge detection operators on the data set used against the real reference value, but it has been proven that the comparison process can be converted into an objective output. In the second part of this study, other algorithms will be added to the comparison and the study will be expanded and a complete performance test will be obtained. © 2022, TUBITAK. All rights reserved.
dc.identifier.doi10.31202/ecjse.1133560
dc.identifier.endpage1302
dc.identifier.issue4
dc.identifier.scopus2-s2.0-85146802000
dc.identifier.scopusqualityQ4
dc.identifier.startpage1290
dc.identifier.urihttps://doi.org/10.31202/ecjse.1133560
dc.identifier.urihttps://hdl.handle.net/20.500.12868/4509
dc.identifier.volume9
dc.indekslendigikaynakScopus
dc.language.isotr
dc.publisherTUBITAK
dc.relation.ispartofEl-Cezeri Journal of Science and Engineering
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_Scopus_20260121
dc.subjectCanny operator
dc.subjectDigital image processing
dc.subjectEdge detection
dc.subjectPrewitt Operator
dc.subjectSobel operator
dc.titleObjective Performance Comparison Between Edge Detection Algorithms
dc.title.alternativeKenar Algılama Algoritmaları Arasında Nesnel Performans Karşılaştırması
dc.typeArticle

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