计算机与现代化 ›› 2013, Vol. 1 ›› Issue (9): 98-101,.doi: 10.3969/j.issn.1006-2475.2013.09.024

• 图像处理 • 上一篇    下一篇

一种基于SVM-Boosting分类器的颜色识别方法

张 超,宗光华   

  1. 北京航空航天大学机械工程及自动化学院,北京 100191
  • 收稿日期:2013-04-06 修回日期:1900-01-01 出版日期:2013-09-17 发布日期:2013-09-17

An Approach of Color Recognition Based on SVM-Boosting Classifier

ZHANG Chao, ZONG Guang-hua   

  1. School of Mechanical Engineering and Automation, Beihang University, Beijing 100191, China
  • Received:2013-04-06 Revised:1900-01-01 Online:2013-09-17 Published:2013-09-17

摘要: 为了获得高精度颜色识别率且对光强变化不敏感,提出一种结合SVM分类器和Boosting分类器(SVM-Boosting分类器)的颜色识别方法,用于乒乓球颜色的识别。首先选取2个独立于光强的颜色特征训练SVM分类器,再选取4个颜色特征训练Boosting分类器,最后构造SVM-Boosting分类器。结果表明,使用该方法的乒乓球识别率高达99.4%,较阈值法和SVM分类器识别率高,较Boosting分类器速度快。该方法能较好地兼顾识别精度和速度,尤其适用于识别精度要求高和样本容量大的视觉系统。

关键词: 颜色识别, 分类器, 视觉系统

Abstract: To obtain a higher recognition rate and a better robustness to a change in the intensity of illumination, this paper presents an approach of color recognition based on a combination of SVM classifier and Boosting classifier (SVM-Boosting classifier) for the color identification of ping-pongs. First, two color features independent on the intensity of illumination are selected to train SVM classifier, and four color features are selected to generate Boosting classifier. Finally, the SVM-Boosting classifier is constructed. The results show that the method gives a very higher recognition rate, up to 99.4%, for ping-pongs recognition, a higher recognition rate compared to the threshold method and SVM classifier, and a faster recognition speed compared to Boosting classifier. The method can satisfy both sides the recognition accuracy and speed, and is particularly suitable to a visual system with high accuracy and large sample capacity.

Key words: color recognition, classifier, visual system

中图分类号: