Research of Image Detection Based on Improved AdaBoost Algorithm

Q1 Social Sciences HumanMachine Communication Journal Pub Date : 2010-04-24 DOI:10.1109/MVHI.2010.104
Peng Wu, Shenming Qu
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引用次数: 0

Abstract

In order to prevent more effectively the occurrence of the distortion of target weights’ distribution and further reduce system errors, a comprehensive improvement has been conducted on the algorithm’s weight updating and weight normalization to avoid the defects of the traditional AdaBoost image detection algorithm. It is proved that the improved algorithm is more effective.
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基于改进AdaBoost算法的图像检测研究
为了更有效地防止目标权值分布失真的发生,进一步减小系统误差,对算法的权值更新和权值归一化进行了全面改进,避免了传统AdaBoost图像检测算法存在的缺陷。实验证明,改进后的算法更加有效。
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来源期刊
CiteScore
10.00
自引率
0.00%
发文量
10
审稿时长
8 weeks
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