Histogram based color object classification by multi-class support vector machine
Küçük Resim Yok
Tarih
2011
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
This 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.
Açıklama
IEEE Computational Intelligence Society;International Neural Network Society;National Science Foundation of China
7th International Conference on Intelligent Computing, ICIC 2011 -- 11 August 2011 through 14 August 2011 -- Zhengzhou -- 88613
7th International Conference on Intelligent Computing, ICIC 2011 -- 11 August 2011 through 14 August 2011 -- Zhengzhou -- 88613
Anahtar Kelimeler
Blob-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 Machines
Kaynak
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
WoS Q Değeri
Scopus Q Değeri
Q3
Cilt
6838 LNCS
