Histogram Based Color Object Classification by Multi-class Support Vector Machine

Mumcu T. V., Aliskan I., Gulez K., Tuna G.

7th International Conference on Intelligent Computing (ICIC), Zhengzhou, China, 11 - 14 August 2011, vol.6838, pp.218-220 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Volume: 6838
  • Doi Number: 10.1007/978-3-642-24728-6_29
  • City: Zhengzhou
  • Country: China
  • Page Numbers: pp.218-220
  • Keywords: Support vector machine (SVM), Color object classification, Blob-like feature extraction
  • Yıldız Technical University Affiliated: Yes

Abstract

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.