A novel method for optic disc detection in retinal images using the cuckoo search algorithm and structural similarity index

Basit Öğe Kaydı
dc.authoridKAYA, Yasin/0000-0002-9074-0189
dc.contributor.authorKaya, Yasin
dc.date.accessioned2025-01-06T17:43:50Z
dc.date.available2025-01-06T17:43:50Z
dc.date.issued2020
dc.description.abstractAccurate and reliable optic disk (OD) localization is vital for eye disease monitoring and fundus image analysis. This paper describes a novel technique to localize the OD in retinal images using the cuckoo search algorithm and the structural similarity index measure (SSIM). SSIM uses the average OD value to compare with candidate OD. Hence, the average OD values were calculated from randomly selected images. The average OD values and the colored retina fundus images were given as input to the proposed algorithm. The adaptive histogram equalization method was applied to ensure that the brightness and contrast values in all images were within a similar range. Next, candidate OD centers were calculated using the search algorithm and the similarity value between each candidate OD and the average OD was determined. Finally, the computed similarity was maximized by the search algorithm and the true OD center was found. The performance of the OD detection algorithm was evaluated on three public datasets. The experimental results showed that proposed method achieved comparable performance, without employing complex image pre-processing, compared with the state-of-the-art techniques. Specifically, the accuracy of 100%, 100%, and 97.5% were obtained for ONHSD, DRIONS and DRIVE datasets, respectively.
dc.identifier.doi10.1007/s11042-020-09080-5
dc.identifier.endpage23400
dc.identifier.issn1380-7501
dc.identifier.issn1573-7721
dc.identifier.issue31-32
dc.identifier.scopus2-s2.0-85086148000
dc.identifier.scopusqualityQ1
dc.identifier.startpage23387
dc.identifier.urihttps://doi.org/10.1007/s11042-020-09080-5
dc.identifier.urihttps://hdl.handle.net/20.500.14669/2826
dc.identifier.volume79
dc.identifier.wosWOS:000538977500001
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherSpringer
dc.relation.ispartofMultimedia Tools and Applications
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_20241211
dc.subjectOptic disc localization
dc.subjectCuckoo search algorithm
dc.subjectStructural similarity index
dc.subjectMedical imaging
dc.titleA novel method for optic disc detection in retinal images using the cuckoo search algorithm and structural similarity index
dc.typeArticle

Dosyalar

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu