Journal of Guangdong University of Technology ›› 2013, Vol. 30 ›› Issue (4): 65-69.doi: 10.3969/j.issn.1007-7162.2013.04.011

• Comprehensive Studies • Previous Articles     Next Articles

Research on a New Algorithm for Robots  Recognition of Objects Based on biSCAN and SVM

Xia Qin-ye,  Yang Yi-ming   

  1. School of Automation, Guangdong University of Technology, Guangzhou 510006,China
  • Received:2012-12-28 Online:2013-12-30 Published:2013-12-30

Abstract: Robot soccer environment is vulnerable to changes in illumination, which results in the low recognition rate, the poor illumination adaptability. In order to solve these problems, it adopts c1c2 c3  color invariant features, uses biSCAN to set a few ways of radial scanning which start from the image center and along the radius to extract the object area, and then uses SVM to recognize the object. Experimental results show that the method improves the object recognition rate and the ability to adapt to illumination.

Key words: robot;c1c2 c color invariant features; biSCAN; support vector machine(SVM)

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