一种基于SVM-Boosting分类器的颜色识别方法

An Approach of Color Recognition Based on SVM-Boosting Classifier

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。

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.