Histogram based color object classification by multi-class support vector machine

Basit Öğe Kaydı
dc.authorscopusid11540535700
dc.authorscopusid14627213900
dc.authorscopusid6602534829
dc.authorscopusid48862103700
dc.contributor.authorMumcu T.V.
dc.contributor.authorAliskan I.
dc.contributor.authorGulez K.
dc.contributor.authorTuna G.
dc.date.accessioned2024-06-12T10:24:47Z
dc.date.available2024-06-12T10:24:47Z
dc.date.issued2011
dc.descriptionIEEE Computational Intelligence Society;International Neural Network Society;National Science Foundation of Chinaen_US
dc.description7th International Conference on Intelligent Computing, ICIC 2011 -- 11 August 2011 through 14 August 2011 -- Zhengzhou -- 88613en_US
dc.description.abstractThis work presents a histogram based color object classification by SVM for laboratory automation. In the laboratory environment, existing problem is the classification of color objects which is understood as blob like pictures by the system via a camera. This automated system is located at hospitals, blood banks where we introduce the system different blood samples for different research purposes. The blood samples for different research purposes are realized with different colors of tube caps. These caps constitute the main problem here since their images are often blob like pictures. The segmented, multi color cap pictures are investigated in this paper by SVM for color object classification. To validate the performance of the system with SVM method, its output also compared to the other classification methods. In the future work different color spaces will be incorporated with SVM for better color classification. © 2011 Springer-Verlag.en_US
dc.identifier.doi10.1007/978-3-642-24728-6_29
dc.identifier.endpage225en_US
dc.identifier.isbn9.78364E+12
dc.identifier.issn0302-9743
dc.identifier.scopus2-s2.0-84857264340en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage218en_US
dc.identifier.urihttps://doi.org/10.1007/978-3-642-24728-6_29
dc.identifier.urihttps://hdl.handle.net/20.500.14551/16023
dc.identifier.volume6838 LNCSen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.relation.ispartofLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectBlob-Like Feature Extraction; Color Object Classification; Support Vector Machine (Svm)en_US
dc.subjectAutomated Systems; Blood Bank; Blood Samples; Classification Methods; Color Classification; Color Object Classification; Color Objects; Color Space; Existing Problems; Laboratory Automation; Laboratory Environment; Multi-Class Support Vector Machines; Multi-Colors; Support Vector; Automation; Blood; Color; Feature Extraction; Graphic Methods; Intelligent Computing; Support Vector Machinesen_US
dc.titleHistogram based color object classification by multi-class support vector machineen_US
dc.typeConference Objecten_US

Dosyalar

Koleksiyon

Scopus İndeksli Yayınlar Koleksiyonu