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基于AdaBoost算法的易拉罐检测方法

Pop can detection based On AdaBoost
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摘要 提出了基于Adaboost算法的易拉罐检测方法。易拉罐检测器的训练,是基于AdaBoost算法思想,分别使用Haar特征、LBP特征对易拉罐图像进行特征提取,并对两者训练检测器的过程差异及最终效果作出比较。实验证明,基于AdaBoost算法训练的易拉罐检测器,检测率高且速度快。 A method of pop-cans detection is proposed based on AdaBoost technique. The training of detector are based on the thought of AdaBoost, and uses Haar, LBP to extract the feature of pop-cans image. And the difference of training process and final result are com- pared. Experiment shows that the algorithm has high detection rate and speed.
作者 肖仁锋
出处 《河北省科学院学报》 CAS 2014年第3期1-5,共5页 Journal of The Hebei Academy of Sciences
关键词 ADABOOST算法 HAAR特征 LBP特征 检测器 AdaBoost algorithm Haar feature LBP feature Detector
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