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计算机工程 ›› 2007, Vol. 33 ›› Issue (06): 179-181. doi: 10.3969/j.issn.1000-3428.2007.06.063

• 人工智能及识别技术 • 上一篇    下一篇

基于角点特征和自适应核聚类算法的目标识别

王鹏伟,吴秀清,余 珊   

  1. (中国科学技术大学电子工程与信息科学系,合肥 230027)
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2007-03-20 发布日期:2007-03-20

Target Identification Based on Corner Character and Self-adaptive Kernel Clustering Algorithm

WANG Pengwei, WU Xiuqing, YU Shan   

  1. (Department of Electronic Engineering and Information Science, University of Science Technology of China, Hefei 230027)
  • Received:1900-01-01 Revised:1900-01-01 Online:2007-03-20 Published:2007-03-20

摘要: 提出了基于角点特征和自适应核聚类的目标识别方法,将有效性函数引入核聚类算法中,提出了一种可动态估计聚类数目的自适应核聚类算法。该方法用于飞机识别中,通过对飞机角点特征的自适应核聚类,完成定位识别。实验结果表明,该方法是有效的。

关键词: 角点特征, 核聚类, 有效性函数, 飞机识别

Abstract: A novel target identification method based on corner character and self-adaptive kernel clustering algorithm is proposed. Validity measure function is introduced to the kernel clustering algorithm, and it can get the sorts’ number automatically. The method is used for detecting the airplane. Experiments show that the algorithm is efficient.

Key words: Corner character, Kernel clustering, Validity measure function, Airplane identification