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基于AdaBoost算法的易拉罐检测方法
引用本文:肖仁锋.基于AdaBoost算法的易拉罐检测方法[J].河北省科学院学报,2014,31(3):1-5.
作者姓名:肖仁锋
作者单位:济南职业学院计算机系,山东济南,250103
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.

关 键 词:Adaboost算法  Haar特征  LBP特征  检测器

Pop can detection based On AdaBoost
XIAO Ren-feng.Pop can detection based On AdaBoost[J].Journal of The Hebei Academy of Sciences,2014,31(3):1-5.
Authors:XIAO Ren-feng
Institution:XlAO Ren-feng (Department of Computer Science ,Jinan Vocational College ,Jinan Shandong ,250103 ,China)
Abstract: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.
Keywords:AdaBoost algorithm  Haar feature  LBP feature  Detector
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