广东工业大学学报 ›› 2011, Vol. 28 ›› Issue (2): 40-42.

• 综合研究 • 上一篇    下一篇

基于SOM算法的机器视觉颜色识别

  

  1. 广东工业大学 自动化学院,广东 广州 510090
  • 出版日期:2011-06-25 发布日期:2011-06-25
  • 作者简介:蒋玉玲(1984-),女,硕士研究生,主要研究方向为智能机器人技术及应用.

Color Recognition of Machine Vision Based on SOM Algorithm

  1. Faculty of Automation, Guangdong University of Technology, Guangzhou 510090, China
  • Online:2011-06-25 Published:2011-06-25

摘要: 针对机器人视觉系统光适应性差的弱点,利用SOM(Self-organizing Map)算法良好的聚类效果,把该算法应用于视觉系统的颜色分类中,使视觉系统具有学习能力去适应环境的变化.仿真结果表明,采用SOM算法的视觉系统颜色识别率有所提高.

关键词: 机器视觉;SOM算法;聚类;颜色分类;颜色识别率

Abstract: Because of the poor light adaptability of the robot vision system, the algorithm of SOM (Self-organizing Map) was applied to the color classification of the robot vision system, owing to its good capacity of clustering. The vision system  has the ability to learn and to adapt to the changes in the environment. The simulation results show that the vision system with the algorithm of SOM has improved the color recognition rate.

Key words: machine vision; algorithm of SOM; clustering; color classification; color recognition rate

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