Feature extraction of using statistical spatial methods for content based medical image retrieval

dc.contributor.authorErgen, Burhan
dc.contributor.authorBaykara, Muhammet
dc.date.accessioned2026-08-12T16:08:22Z
dc.date.issued2010
dc.departmentFırat Üniversitesi
dc.description2010 15th National Biomedical Engineering Meeting, BIYOMUT2010 -- 21 April 2010 through 24 April 2010 -- Antalya -- 80917
dc.description.abstractContent based image retrieval systems are used widespread for general purpose image archiving, and the developments are still continued it. But it is not widely used for archiving medical images. In presented, it is examined the retrieval efficiency rate of statistical spatial methods used for feature extraction in general purpose images. The investigated algorithms depend on GLCM and GLRLM accepted as spatial methods. The results obtained in this study shows that queries based on statistics obtained from GLCM are more satisfier. ©2010 IEEE.
dc.identifier.doi10.1109/BIYOMUT.2010.5479763
dc.identifier.isbn978-142446382-4
dc.identifier.scopus2-s2.0-77954451322
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://doi.org/10.1109/BIYOMUT.2010.5479763
dc.identifier.urihttps://hdl.handle.net/11508/41188
dc.indekslendigikaynakScopus
dc.language.isotr
dc.relation.ispartof2010 15th National Biomedical Engineering Meeting, BIYOMUT2010
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_Scopus_20260511
dc.subjectBiomedical engineering; Feature extraction; Image retrieval; Content based image retrieval systems; Content based medical image retrieval; General purpose; Medical images; Retrieval efficiency; Medical imaging
dc.titleFeature extraction of using statistical spatial methods for content based medical image retrieval
dc.title.alternativeİçerik tabanli tibbi görüntü erişimi için i?statistiksel uzaysal alan metotlari kullanarak özellik çikarilmasi
dc.typeConference Object

Dosyalar