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基于模糊形状上下文特征的形状识别算法

韩敏 郑丹晨

韩敏, 郑丹晨. 基于模糊形状上下文特征的形状识别算法. 自动化学报, 2012, 38(1): 68-75. doi: 10.3724/SP.J.1004.2012.00068
引用本文: 韩敏, 郑丹晨. 基于模糊形状上下文特征的形状识别算法. 自动化学报, 2012, 38(1): 68-75. doi: 10.3724/SP.J.1004.2012.00068
HAN Min, ZHENG Dan-Chen. Shape Recognition Based on Fuzzy Shape Context. ACTA AUTOMATICA SINICA, 2012, 38(1): 68-75. doi: 10.3724/SP.J.1004.2012.00068
Citation: HAN Min, ZHENG Dan-Chen. Shape Recognition Based on Fuzzy Shape Context. ACTA AUTOMATICA SINICA, 2012, 38(1): 68-75. doi: 10.3724/SP.J.1004.2012.00068

基于模糊形状上下文特征的形状识别算法

doi: 10.3724/SP.J.1004.2012.00068
详细信息
    通讯作者:

    韩敏 大连理工大学电子信息与电气工程学部教授.主要研究方向为模式识别,复杂系统建模与分析及时间序列预测.本文通信作者. E-mail: minhan@dlut.edu.cn

Shape Recognition Based on Fuzzy Shape Context

  • 摘要: 利用形状上下文特征进行形状匹配的过程中,各采样点被直接二值划分至不同的直方图栅格,致使特征表达不精确,进而导致匹配结果存在偏差.本文在对数极坐标系中引入模糊隶属度函数,利用采样点分布的模糊划分结果建立直方图,生成模糊形状上下文特征,从而更精确地描述形状信息.在极坐标系下对采样点集合进行分割,提出分割匹配的方法,减少不必要的特征匹配次数.在此基础上,利用循环移位匹配方法解决形状在不同角度姿态下利用形状上下文特征匹配的问题.通过对不同数据进行仿真分析,证明本文所提出的方法能有效实现形状识别和检索.
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出版历程
  • 收稿日期:  2011-04-11
  • 修回日期:  2011-08-30
  • 刊出日期:  2012-01-20

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