Texture segmentation with seeded region growing in feature space by integrating boundary information [Sinir bilgisini kullanarak özellik uzayinda bölge büyüme tekni?iyle doku bölütlemesi]

dc.contributor.authorÖztürk A.
dc.contributor.authorArslan A.
dc.date.accessioned2020-03-26T17:04:59Z
dc.date.available2020-03-26T17:04:59Z
dc.date.issued2006
dc.departmentSelçuk Üniversitesien_US
dc.description2006 IEEE 14th Signal Processing and Communications Applications -- 17 April 2006 through 19 April 2006 -- Antalya -- 69461en_US
dc.description.abstractIn this study, region-based segmentation of textural images is investigated. For this purpose, the seeded region growing algorithm is used in feature space. In order to make an accurate segmentation, it is crucial to appropriately select the initial seed points as well as to decide where to stop the growing procedure. In the first stage, the boundaries between the textures that will guide the growing process are extracted. Then, the initial seed points are selected according to some intra-region similarity and inter-regional distance criteria in the feature space. At the end of the region growing, the smaller regions are merged according to the boundary information to construct the final segmented image. To discriminate between textures, four different features are used. The first three features are the fractal dimension (FD) of original image, constrast-strecthed image and top-hat transformed image, respectively. The fourth feature is the entropy which is a parameter obtained from the spatial gray-level co-occurence matrix of the image. The experimental results are presented for mosaics with different number of textures. © 2006 IEEE.en_US
dc.identifier.doi10.1109/SIU.2006.1659695en_US
dc.identifier.isbn1424402395; 9781424402397
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://dx.doi.org/10.1109/SIU.2006.1659695
dc.identifier.urihttps://hdl.handle.net/20.500.12395/20814
dc.identifier.volume2006en_US
dc.indekslendigikaynakScopusen_US
dc.language.isotren_US
dc.relation.ispartof2006 IEEE 14th Signal Processing and Communications Applications Conferenceen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.titleTexture segmentation with seeded region growing in feature space by integrating boundary information [Sinir bilgisini kullanarak özellik uzayinda bölge büyüme tekni?iyle doku bölütlemesi]en_US
dc.typeConference Objecten_US

Dosyalar