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基于SOM算法的机器视觉颜色识别
引用本文:蒋玉玲,杨宜民. 基于SOM算法的机器视觉颜色识别[J]. 广东工业大学学报, 2011, 28(2): 40-42
作者姓名:蒋玉玲  杨宜民
作者单位:广东工业大学自动化学院,广东广州,510090
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

Color Recognition of Machine Vision Based on SOM Algorithm
Jiang Yu-ling,Yang Yi-min. Color Recognition of Machine Vision Based on SOM Algorithm[J]. Journal of Guangdong University of Technology, 2011, 28(2): 40-42
Authors:Jiang Yu-ling  Yang Yi-min
Affiliation:Jiang Yu-ling,Yang Yi-min(Faculty of Automation,Guangdong University of Technology,Guangzhou 510090,China)
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.
Keywords:machine vision  algorithm of SOM  clustering  color classification  color recognition rate  
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