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一种改进的类人足球机器人彩色目标识别算法

潘亚宾 刘国栋

计算机应用研究2011,Vol.28Issue(3):1195-1197,1200,4.
计算机应用研究2011,Vol.28Issue(3):1195-1197,1200,4.DOI:10.3969/j.issn.1001-3695.2011.03.115

一种改进的类人足球机器人彩色目标识别算法

Improved color object recognition method of humanoid soccer robot

潘亚宾 1刘国栋1

作者信息

  • 1. 江南大学物联网工程学院,江苏,无锡,214122
  • 折叠

摘要

Abstract

As the vision demands of humanoid soccer robot,this paper proposed a color object recognition method that combined region growing with the adaptive threshold update algorithm based on shape discrimination. The method divided the image into the high saturation region and the low saturation region by the S component in the HSI color space. Used the region growing to recognize the object by H component in the high saturation region. It adaptively updated the threshold by shape discrimination and used in region growing in order to accurately recognize the color object stably. The successful applications of the method on a real humanoid soccer robot show that the method has well adaptable and robust for changing illumination because color objects are recognized stably under different illumination condition. So the method has good recognition effects.

关键词

类人足球机器人/彩色目标识别/区域生长/阈值自适应更新

分类

信息技术与安全科学

引用本文复制引用

潘亚宾,刘国栋..一种改进的类人足球机器人彩色目标识别算法[J].计算机应用研究,2011,28(3):1195-1197,1200,4.

计算机应用研究

OA北大核心CSCDCSTPCD

1001-3695

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