Color image segmentation using mean shift filtering and wavelet frames

dc.contributor.authorÖzden, Mustafa
dc.contributor.authorPolat, Ediz
dc.contributor.authorTuna, Eyüp
dc.date.accessioned2020-06-25T15:13:27Z
dc.date.available2020-06-25T15:13:27Z
dc.date.issued2005
dc.departmentKırıkkale Üniversitesi
dc.descriptionIEEE 13th Signal Processing and Communications Applications Conference, SIU 2005 -- 16 May 2005 through 18 May 2005 -- Kayseri -- 69003
dc.description.abstractThis paper describes a new color image segmentation method based on low-level features including color and texture. The mean-shift algorithm with color and spatial information in color image segmentation is in general successful, however, in some cases, the color and spatial information are not sufficient for superior segmentation. Recently, the discrete wavelet transform (DWT) has become a popular approach for texture feature extraction. The proposed method uses wavelet frames that provide translation invariant texture analysis. The method also integrates an additional texture feature to the traditional mean shift segmentation algorithm with color and spatial space. Experimental results show that the algorithm gives satisfactory results. © 2005 IEEE.en_US
dc.identifier.citationclosedAccessen_US
dc.identifier.doi10.1109/SIU.2005.1567677
dc.identifier.endpage291en_US
dc.identifier.isbn0780392396; 9780780392397
dc.identifier.scopus2-s2.0-33846587543
dc.identifier.scopusqualityN/A
dc.identifier.startpage288en_US
dc.identifier.urihttps://doi.org/10.1109/SIU.2005.1567677
dc.identifier.urihttps://hdl.handle.net/20.500.12587/1804
dc.identifier.volume2005en_US
dc.indekslendigikaynakScopus
dc.language.isotr
dc.relation.ispartofProceedings of the IEEE 13th Signal Processing and Communications Applications Conference, SIU 2005
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.titleColor image segmentation using mean shift filtering and wavelet framesen_US
dc.title.alternativeOrtalama kayma ve dalgacik çerçevesi ile renkli görüntü kesimlemeen_US
dc.typeConference Object

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