Content based medical image classification using discrete wavelet and cosine transforms

dc.contributor.authorKarhan, Zehra
dc.contributor.authorErgen, Burhan
dc.date.accessioned2026-08-12T16:08:31Z
dc.date.issued2015
dc.departmentFırat Üniversitesi
dc.description2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 -- 16 May 2015 through 19 May 2015 -- Malatya -- 113052
dc.description.abstractIn this study, we aimed to determine whether the medical image belongs to that class or not, using the textural features of medical images. The study was performed on the images in IRMA (Image Retrieval in Medical Applications), the international database. After performing pre process on the our current medical images, discrete wavelet transform (DWT) was applied and then discrete cosine transform (DCT) was applied to each band components. After feature extraction, using of 1%, 3%, 5% and 7% of the obtained data were classified. K-Nearest neighbor algorithm (KNN) was used in the classification phase. The classification performance was around 87%. © 2015 IEEE.
dc.identifier.doi10.1109/SIU.2015.7130115
dc.identifier.endpage1448
dc.identifier.isbn978-146737386-9
dc.identifier.scopus2-s2.0-84939167464
dc.identifier.scopusqualityN/A
dc.identifier.startpage1445
dc.identifier.urihttps://doi.org/10.1109/SIU.2015.7130115
dc.identifier.urihttps://hdl.handle.net/11508/41245
dc.indekslendigikaynakScopus
dc.language.isotr
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.ispartof2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_Scopus_20260511
dc.subjectDiscrete cosine transform (DCT); Discrete wavelet transform (DWT); K-nearest neighbor algorithm; Medical image classification
dc.titleContent based medical image classification using discrete wavelet and cosine transforms
dc.title.alternativeAyrik Dalgacik ve Kosinüs Dönüşümleri Kullanilarak Içerik Tabanli Tibbi Imgelerin Siniflandirilmasi
dc.typeConference Object

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