Novel Fuzzy Kernels Based Local Binary Pattern And Local Graph Structure Methods

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dc.contributor.authorMETİN, Serkan
dc.contributor.authorDOGAN, Sengul
dc.date.accessioned2025-10-24T18:04:47Z
dc.date.available2025-10-24T18:04:47Z
dc.date.issued2021
dc.departmentMalatya Turgut Özal Üniversitesi
dc.description.abstractLocal descriptors are the most effective textural image recognition methods. Local descriptors generally consist of two phases. These are binary feature coding and histogram extraction phases, and they often use the signum function for the binary feature extraction. In this article, new fuzzy-based mathematical kernels are proposed for binary feature encoding in local descriptors. Fuzzy kernels consist of membership degree calculation and coding these membership degrees. In order to calculate membership degrees, four fuzzy sets are utilized. The proposed fuzzy kernels are considered as binary feature-extraction functions, and a novel textural image recognition architecture is created using these fuzzy kernels. These architecture phases are; (1) binary feature coding with fuzzy kernels, (2) calculating lower and upper images, (3) histogram extraction, (4) feature reduction with maximum pooling, (5) classification. In the classification phase, a quadratic kernel-based support vector machine (SVM) classifier is utilized. The presented fuzzy kernels are implemented on the Local Binary Pattern (LBP) and Local Graph Structure (LGS). 16 novel methods are presented using fuzzy kernels for each descriptor. In this article, LBP and LGS are used, and 32 novel fuzzy-based methods are proposed to improve recognition capability. 3 facial images and 3 textural image datasets are used to evaluate the methods' performance. The experimental results clearly illustrate that the fuzzy kernels based LBP and LGS methods have high facial and textural image recognition capability.
dc.identifier.endpage177
dc.identifier.issn1308-9099
dc.identifier.issue1
dc.identifier.startpage163
dc.identifier.trdizinid1273822
dc.identifier.urihttps://search.trdizin.gov.tr/tr/yayin/detay/1273822
dc.identifier.urihttps://hdl.handle.net/20.500.12899/3103
dc.identifier.volume16
dc.indekslendigikaynakTR-Dizin
dc.language.isoen
dc.relation.ispartofTurkish Journal of Science & Technology
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzTR-Dizin_20251023
dc.subjectLocal binary pattern
dc.subjectbiometrics
dc.subjectFuzzy coding
dc.subjectlocal graph structure
dc.subjecttexture recoginiton
dc.titleNovel Fuzzy Kernels Based Local Binary Pattern And Local Graph Structure Methods
dc.typeArticle

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