吉林大学学报(工学版) ›› 2013, Vol. 43 ›› Issue (增刊1): 260-264.

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Objective segmentation method of video image in robot soccer

LI Xiao-yu, YANG Ma-ying   

  1. College of Information Engineering College, Zhejiang University of Technology, Hangzhou 310023, China
  • Received:2012-10-12 Published:2013-06-01

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Abstract:

In order to improve the accuracy and efficiency of multi-objective extraction and recognition in robot soccer image processing,offline adaptive threshold value color classification was adopted,different colors of multiple targets were identified,which had certain flexibility to the color changes.An improved corrosion and expansion algorithm in mathematical morphology was proposed to filter the image whose color was classified,thus improved the image processing efficiency and enhanced the segmentation accuracy.Seed filling method was employed to simultaneously implement segmentation and multi-objective feature extraction,and thereby the times of pixel traverse was reduced and the efficiency of the algorithm was increased.It is illustrated by the experiments that the above method can make the robot soccer adapt to certain illumination change and make multi-objective segmentation accurately and rapidly.

Key words: robot soccer, visual system, image segmentation, target recognition

CLC Number: 

  • TP391

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