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- Title
基于ZM 相特征描述符的图像配准方法.
- Authors
郑寇全; 杨文静; 张继周; 雷英杰; 魏强
- Abstract
In view of the image characteristics of the uncertainty factors such as angle, blur, rotation, sealing transform and noise, which affected the precision of image registration, this paper defined the distinctive image descriptor based on the Zemi-ke moment (ZM) phase information, provided the ZM normalization and its measurement method. Meanwhile, this paper established a new image registration algorithm. Simulation experiments show that the proposed algorithm can effectively extract the image feature points and match the feature accurately, and reduce the algorithm complexity significantly for a prescribed matching accuracy.
- Publication
Application Research of Computers / Jisuanji Yingyong Yanjiu, 2017, Vol 34, Issue 1, p279
- ISSN
1001-3695
- Publication type
Article
- DOI
10.3969/j.issn.1001-3695.2017.01.063