Mumcu T.V.Aliskan I.Gulez K.Tuna G.2024-06-122024-06-1220119.78364E+120302-9743https://doi.org/10.1007/978-3-642-24728-6_29https://hdl.handle.net/20.500.14551/16023IEEE Computational Intelligence Society;International Neural Network Society;National Science Foundation of China7th International Conference on Intelligent Computing, ICIC 2011 -- 11 August 2011 through 14 August 2011 -- Zhengzhou -- 88613This 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.en10.1007/978-3-642-24728-6_29info:eu-repo/semantics/closedAccessBlob-Like Feature Extraction; Color Object Classification; Support Vector Machine (Svm)Automated 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 MachinesConference Object6838 LNCS2182252-s2.0-84857264340Q3