Spiking neural network-based edge detection model for content-based image retrieval

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dc.contributor.authorIncetas, Muersel Ozan
dc.contributor.authorArslan, Rukiye Uzun
dc.date.accessioned2026-01-24T12:30:59Z
dc.date.available2026-01-24T12:30:59Z
dc.date.issued2024
dc.departmentAlanya Alaaddin Keykubat Üniversitesi
dc.description.abstractContent-based image retrieval (CBIR) techniques are widely used for extracting specific images from large databases. Recent studies have shown that edge features, alongside colors, align closely with human perception in CBIR. However, most CBIR approaches detect edges using linear methods like gradients, which do not align with how the human visual system (HVS) perceives edges. Bioinspired approaches, based on HVS, have proven more effective for edge detection. This study introduces a novel bioinspired spiking neural network (SNN)-based edge detection method for CBIR. The proposed method reduces computational costs by approximately 2.5 times compared to existing SNN models and offers a simpler, easily integrated structure. When integrated into CBIR techniques using conventional edge detection methods (Sobel, Canny, and image derivatives), it increased the mean precision on the Corel-1k dataset by over 3%. These results indicate that the proposed method is effective for edge-based CBIR.
dc.identifier.doi10.1007/s11760-024-03799-6
dc.identifier.issn1863-1703
dc.identifier.issn1863-1711
dc.identifier.issue2
dc.identifier.scopus2-s2.0-85213695986
dc.identifier.scopusqualityQ2
dc.identifier.urihttps://doi.org/10.1007/s11760-024-03799-6
dc.identifier.urihttps://hdl.handle.net/20.500.12868/5570
dc.identifier.volume19
dc.identifier.wosWOS:001386429800005
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherSpringer London Ltd
dc.relation.ispartofSignal Image and Video Processing
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WoS_20260121
dc.subjectContent-based image retrieval (CBIR)
dc.subjectSpiking neural networks (SNNs)
dc.subjectSNN-based edge detection
dc.titleSpiking neural network-based edge detection model for content-based image retrieval
dc.typeArticle

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